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b/404.html @@ -18,8 +18,8 @@ - - + + diff --git a/about/2035/index.html b/about/2035/index.html index cf75ca2e..e70a65e8 100644 --- a/about/2035/index.html +++ b/about/2035/index.html @@ -18,8 +18,8 @@ - - + + @@ -31,6 +31,6 @@
  • 10 year vision
  • 2 week sprint
    • -

    And we measure our success on Quarterly OKRs

    +

    And we measure our success on Quarterly OKRs

    \ No newline at end of file diff --git a/about/faq/index.html b/about/faq/index.html index f8a845fe..29bcbcb5 100644 --- a/about/faq/index.html +++ b/about/faq/index.html @@ -18,8 +18,8 @@ - - + + @@ -60,6 +60,6 @@

    Can I self-host?​

    Yes! We love the self-hosted movement. Jan is available as a Helm chart/ Docker composes which can be run across home servers or even production-level environments.

    Are you hiring?​

    -

    We often hire directly from our community. If you are interested in applying, please see our careers page here.

    +

    We often hire directly from our community. If you are interested in applying, please see our careers page here.

    \ No newline at end of file diff --git a/about/index.html b/about/index.html index b1f4defb..8eb7bede 100644 --- a/about/index.html +++ b/about/index.html @@ -18,8 +18,8 @@ - - + + @@ -92,6 +92,6 @@

    FootnotesLlama.cpp, TensorRT-LLM, vLLM, LMDeploy and more. ↩

    -
    +
    \ No newline at end of file diff --git a/about/roadmap/index.html b/about/roadmap/index.html index 669a9e92..135c9ced 100644 --- a/about/roadmap/index.html +++ b/about/roadmap/index.html @@ -18,8 +18,8 @@ - - + + @@ -28,6 +28,6 @@
    Skip to main content
    + \ No newline at end of file diff --git a/acknowledgements/index.html b/acknowledgements/index.html index f5983a38..fb750133 100644 --- a/acknowledgements/index.html +++ b/acknowledgements/index.html @@ -18,8 +18,8 @@ - - + + @@ -38,6 +38,6 @@

    Dev ToolsScalar
  • Continue
    • -
    +
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\ No newline at end of file diff --git a/assets/js/024311fd.754e23fa.js b/assets/js/024311fd.754e23fa.js deleted file mode 100644 index b97cefab..00000000 --- a/assets/js/024311fd.754e23fa.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[9666],{28952:(e,n,s)=>{s.r(n),s.d(n,{assets:()=>c,contentTitle:()=>a,default:()=>p,frontMatter:()=>l,metadata:()=>d,toc:()=>h});var i=s(74848),r=s(28453),t=s(11470),o=s(19365);const l={title:"Troubleshooting",slug:"/troubleshooting",description:"Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server.",sidebar_position:21,keywords:["Jan","Customizable Intelligence","LLM","local AI","privacy focus","free and open source","private and offline","conversational AI","no-subscription fee","large language models","troubleshooting","error codes","broken build","something amiss","unexpected token","undefined issue","permission denied"]},a=void 0,d={id:"guides/troubleshooting",title:"Troubleshooting",description:"Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server.",source:"@site/docs/guides/troubleshooting.mdx",sourceDirName:"guides",slug:"/troubleshooting",permalink:"/troubleshooting",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/guides/troubleshooting.mdx",tags:[],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1711818688,formattedLastUpdatedAt:"Mar 30, 2024",sidebarPosition:21,frontMatter:{title:"Troubleshooting",slug:"/troubleshooting",description:"Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server.",sidebar_position:21,keywords:["Jan","Customizable Intelligence","LLM","local AI","privacy focus","free and open source","private and offline","conversational AI","no-subscription fee","large language models","troubleshooting","error codes","broken build","something amiss","unexpected token","undefined issue","permission denied"]},sidebar:"guidesSidebar",previous:{title:"Continue Integration",permalink:"/integrations/continue"}},c={},h=[{value:"Broken Build",id:"broken-build",level:2},{value:"1. Uninstall Jan",id:"1-uninstall-jan",level:4},{value:"2. Delete Application Data, Cache, and User Data",id:"2-delete-application-data-cache-and-user-data",level:4},{value:"3. Additional Step for Versions Before 0.4.2",id:"3-additional-step-for-versions-before-042",level:4},{value:"4. Download the Latest Version",id:"4-download-the-latest-version",level:4},{value:"1. Uninstall Jan",id:"1-uninstall-jan-1",level:4},{value:"2. Delete Application Data, Cache, and User Data",id:"2-delete-application-data-cache-and-user-data-1",level:4},{value:"3. Additional Step for Versions Before 0.4.2",id:"3-additional-step-for-versions-before-042-1",level:4},{value:"4. Download the Latest Version",id:"4-download-the-latest-version-1",level:4},{value:"1. Uninstall Jan",id:"1-uninstall-jan-2",level:4},{value:"2. Delete Application Data, Cache, and User Data",id:"2-delete-application-data-cache-and-user-data-2",level:4},{value:"3. Additional Step for Versions Before 0.4.2",id:"3-additional-step-for-versions-before-042-2",level:4},{value:"4. Download the Latest Version",id:"4-download-the-latest-version-2",level:4},{value:"Troubleshooting NVIDIA GPU",id:"troubleshooting-nvidia-gpu",level:2},{value:"1. Ensure GPU Mode Requirements",id:"1-ensure-gpu-mode-requirements",level:4},{value:"NVIDIA Driver",id:"nvidia-driver",level:5},{value:"CUDA Toolkit",id:"cuda-toolkit",level:5},{value:"NVIDIA Driver",id:"nvidia-driver-1",level:5},{value:"CUDA Toolkit",id:"cuda-toolkit-1",level:5},{value:"Linux Specifics",id:"linux-specifics",level:5},{value:"2. Switch to GPU Mode",id:"2-switch-to-gpu-mode",level:4},{value:"Troubleshooting Tips",id:"troubleshooting-tips",level:5},{value:"3. Check GPU Settings",id:"3-check-gpu-settings",level:4},{value:"4. Restart Jan",id:"4-restart-jan",level:4},{value:"Troubleshooting Tips",id:"troubleshooting-tips-1",level:5},{value:"Tested Configurations",id:"tested-configurations",level:4},{value:"Common Issues and Solutions",id:"common-issues-and-solutions",level:4},{value:"How to Get Error Logs",id:"how-to-get-error-logs",level:2},{value:"Jan Application",id:"jan-application",level:4},{value:"Jan UI",id:"jan-ui",level:4},{value:"Jan API Server",id:"jan-api-server",level:4},{value:"Permission Denied",id:"permission-denied",level:2},{value:"Something's Amiss",id:"somethings-amiss",level:2},{value:"Undefined Issue",id:"undefined-issue",level:2},{value:"Unexpected Token",id:"unexpected-token",level:2}];function u(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",h4:"h4",h5:"h5",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,r.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(n.h2,{id:"broken-build",children:"Broken Build"}),"\n",(0,i.jsx)(n.p,{children:"To resolve the issue where your Jan is stuck in a broken build after installation."}),"\n",(0,i.jsxs)(t.A,{children:[(0,i.jsxs)(o.A,{value:"mac",label:"Mac",default:!0,children:[(0,i.jsx)(n.h4,{id:"1-uninstall-jan",children:"1. Uninstall Jan"}),(0,i.jsxs)(n.p,{children:["Delete Jan from your ",(0,i.jsx)(n.code,{children:"/Applications"})," folder."]}),(0,i.jsx)(n.h4,{id:"2-delete-application-data-cache-and-user-data",children:"2. Delete Application Data, Cache, and User Data"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-zsh",children:"# Step 1: Delete the application data\n## Newer versions\nrm -rf ~/Library/Application\\ Support/jan\n## Versions 0.2.0 and older\nrm -rf ~/Library/Application\\ Support/jan-electron\n\n# Step 2: Clear application cache\nrm -rf ~/Library/Caches/jan*\n\n# Step 3: Remove all user data\nrm -rf ~/jan\n"})}),(0,i.jsx)(n.h4,{id:"3-additional-step-for-versions-before-042",children:"3. Additional Step for Versions Before 0.4.2"}),(0,i.jsxs)(n.p,{children:["If you are using a version before ",(0,i.jsx)(n.code,{children:"0.4.2"}),", you need to run the following commands:"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-zsh",children:"ps aux | grep nitro\n# Looks for processes like `nitro` and `nitro_arm_64`, and kill them one by one by process ID\nkill -9 \n"})}),(0,i.jsx)(n.h4,{id:"4-download-the-latest-version",children:"4. Download the Latest Version"}),(0,i.jsxs)(n.p,{children:["Download the latest version of Jan from our ",(0,i.jsx)(n.a,{href:"https://jan.ai/",children:"homepage"}),"."]})]}),(0,i.jsxs)(o.A,{value:"windows",label:"Windows",children:[(0,i.jsx)(n.h4,{id:"1-uninstall-jan-1",children:"1. Uninstall Jan"}),(0,i.jsxs)(n.p,{children:["To uninstall Jan on Windows, use the ",(0,i.jsx)(n.a,{href:"https://support.microsoft.com/en-us/windows/uninstall-or-remove-apps-and-programs-in-windows-4b55f974-2cc6-2d2b-d092-5905080eaf98",children:"Windows Control Panel"}),"."]}),(0,i.jsx)(n.h4,{id:"2-delete-application-data-cache-and-user-data-1",children:"2. Delete Application Data, Cache, and User Data"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"# Delete the `/Jan` directory in Windows's AppData\nrm -r C:\\Users\\%USERNAME%\\AppData\\Roaming\\Jan\n\n# Delete the `/Jan` directory in Windows's AppData\nrm -r C:\\Users\\%USERNAME%\\jan\n"})}),(0,i.jsx)(n.h4,{id:"3-additional-step-for-versions-before-042-1",children:"3. Additional Step for Versions Before 0.4.2"}),(0,i.jsxs)(n.p,{children:["If you are using a version before ",(0,i.jsx)(n.code,{children:"0.4.2"}),", you need to run the following commands:"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:'# Find the process ID (PID) of the nitro process by filtering the list by process name\ntasklist | findstr "nitro"\n# Once you have the PID of the process you want to terminate, run the `taskkill`\ntaskkill /F /PID \n'})}),(0,i.jsx)(n.h4,{id:"4-download-the-latest-version-1",children:"4. Download the Latest Version"}),(0,i.jsxs)(n.p,{children:["Download the latest version of Jan from our ",(0,i.jsx)(n.a,{href:"https://jan.ai/",children:"homepage"}),"."]})]}),(0,i.jsxs)(o.A,{value:"linux",label:"Linux",children:[(0,i.jsx)(n.h4,{id:"1-uninstall-jan-2",children:"1. Uninstall Jan"}),(0,i.jsxs)(t.A,{groupId:"linux_type",children:[(0,i.jsxs)(o.A,{value:"linux_main",label:"Linux",children:[(0,i.jsx)(n.p,{children:"To uninstall Jan, you should use your package manager's uninstall or remove option."}),(0,i.jsx)(n.p,{children:"This will return your system to its state before the installation of Jan."}),(0,i.jsx)(n.p,{children:"This method can also reset all settings if you are experiencing any issues with Jan."})]}),(0,i.jsxs)(o.A,{value:"deb_ub",label:"Debian / Ubuntu",children:[(0,i.jsx)(n.p,{children:"To uninstall Jan, run the following command.MDXContent"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"sudo apt-get remove jan\n# where jan is the name of Jan package\n"})}),(0,i.jsx)(n.p,{children:"This will return your system to its state before the installation of Jan."}),(0,i.jsx)(n.p,{children:"This method can also be used to reset all settings if you are experiencing any issues with Jan."})]}),(0,i.jsxs)(o.A,{value:"other",label:"Others",children:[(0,i.jsxs)(n.p,{children:["To uninstall Jan, you can uninstall Jan by deleting the ",(0,i.jsx)(n.code,{children:".AppImage"})," file."]}),(0,i.jsxs)(n.p,{children:["If you wish to completely remove all user data associated with Jan after uninstallation, you can delete the user data at ",(0,i.jsx)(n.code,{children:"~/jan"}),"."]}),(0,i.jsx)(n.p,{children:"This method can also reset all settings if you are experiencing any issues with Jan."})]})]}),(0,i.jsx)(n.h4,{id:"2-delete-application-data-cache-and-user-data-2",children:"2. Delete Application Data, Cache, and User Data"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"# You can delete the user data folders located at the following `~/jan`\nrm -rf ~/jan\n"})}),(0,i.jsx)(n.h4,{id:"3-additional-step-for-versions-before-042-2",children:"3. Additional Step for Versions Before 0.4.2"}),(0,i.jsxs)(n.p,{children:["If you are using a version before ",(0,i.jsx)(n.code,{children:"0.4.2"}),", you need to run the following commands:"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-zsh",children:"ps aux | grep nitro\n# Looks for processes like `nitro` and `nitro_arm_64`, and kill them one by one by process ID\nkill -9 \n"})}),(0,i.jsx)(n.h4,{id:"4-download-the-latest-version-2",children:"4. Download the Latest Version"}),(0,i.jsxs)(n.p,{children:["Download the latest version of Jan from our ",(0,i.jsx)(n.a,{href:"https://jan.ai/",children:"homepage"}),"."]})]})]}),"\n",(0,i.jsx)(n.p,{children:"By following these steps, you can cleanly uninstall and reinstall Jan, ensuring a smooth and error-free experience with the latest version."}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsx)(n.p,{children:"Before reinstalling Jan, ensure it's completely removed from all shared spaces if it's installed on multiple user accounts on your device."})}),"\n",(0,i.jsx)(n.h2,{id:"troubleshooting-nvidia-gpu",children:"Troubleshooting NVIDIA GPU"}),"\n",(0,i.jsx)(n.p,{children:"To resolve issues when the Jan app does not utilize the NVIDIA GPU on Windows and Linux systems."}),"\n",(0,i.jsx)(n.h4,{id:"1-ensure-gpu-mode-requirements",children:"1. Ensure GPU Mode Requirements"}),"\n",(0,i.jsxs)(t.A,{children:[(0,i.jsxs)(o.A,{value:"windows",label:"Windows",children:[(0,i.jsx)(n.h5,{id:"nvidia-driver",children:"NVIDIA Driver"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["Install an ",(0,i.jsx)(n.a,{href:"https://www.nvidia.com/Download/index.aspx",children:"NVIDIA Driver"})," supporting CUDA 11.7 or higher.","\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Use the following command to verify the installation:"}),"\n"]}),"\n"]}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"nvidia-smi\n"})}),(0,i.jsx)(n.h5,{id:"cuda-toolkit",children:"CUDA Toolkit"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["Install a ",(0,i.jsx)(n.a,{href:"https://developer.nvidia.com/cuda-downloads",children:"CUDA toolkit"})," compatible with your NVIDIA driver.","\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Use the following command to verify the installation:"}),"\n"]}),"\n"]}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"nvcc --version\n"})})]}),(0,i.jsxs)(o.A,{value:"linux",label:"Linux",children:[(0,i.jsx)(n.h5,{id:"nvidia-driver-1",children:"NVIDIA Driver"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["Install an ",(0,i.jsx)(n.a,{href:"https://www.nvidia.com/Download/index.aspx",children:"NVIDIA Driver"})," supporting CUDA 11.7 or higher.","\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Use the following command to verify the installation:"}),"\n"]}),"\n"]}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"nvidia-smi\n"})}),(0,i.jsx)(n.h5,{id:"cuda-toolkit-1",children:"CUDA Toolkit"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["Install a ",(0,i.jsx)(n.a,{href:"https://developer.nvidia.com/cuda-downloads",children:"CUDA toolkit"})," compatible with your NVIDIA driver.","\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Use the following command to verify the installation:"}),"\n"]}),"\n"]}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"nvcc --version\n"})}),(0,i.jsx)(n.h5,{id:"linux-specifics",children:"Linux Specifics"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:["Ensure that ",(0,i.jsx)(n.code,{children:"gcc-11"}),", ",(0,i.jsx)(n.code,{children:"g++-11"}),", ",(0,i.jsx)(n.code,{children:"cpp-11"}),", or higher is installed."]}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["See ",(0,i.jsx)(n.a,{href:"https://gcc.gnu.org/projects/cxx-status.html#cxx17",children:"instructions"})," for Ubuntu installation."]}),"\n"]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Post-Installation Actions"}),": Add CUDA libraries to ",(0,i.jsx)(n.code,{children:"LD_LIBRARY_PATH"}),"."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:["Follow the ",(0,i.jsx)(n.a,{href:"https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#post-installation-actions",children:"Post-installation Actions"})," instructions."]}),"\n"]}),"\n"]})]})]}),"\n",(0,i.jsx)(n.h4,{id:"2-switch-to-gpu-mode",children:"2. Switch to GPU Mode"}),"\n",(0,i.jsxs)(n.p,{children:["Jan defaults to CPU mode but automatically switches to GPU mode if your system supports it, selecting the GPU with the highest VRAM. Check this setting in ",(0,i.jsx)(n.code,{children:"Settings"})," > ",(0,i.jsx)(n.code,{children:"Advanced Settings"}),"."]}),"\n",(0,i.jsx)(n.h5,{id:"troubleshooting-tips",children:"Troubleshooting Tips"}),"\n",(0,i.jsx)(n.p,{children:"If GPU mode isn't enabled by default:"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Confirm that you have installed an NVIDIA driver supporting CUDA 11.7 or higher. Refer to ",(0,i.jsx)(n.a,{href:"https://docs.nvidia.com/deploy/cuda-compatibility/index.html#binary-compatibility__table-toolkit-driver",children:"CUDA compatibility"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["Ensure compatibility of the CUDA toolkit with your NVIDIA driver. Refer to ",(0,i.jsx)(n.a,{href:"https://docs.nvidia.com/deploy/cuda-compatibility/index.html#binary-compatibility__table-toolkit-driver",children:"CUDA compatibility"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["For Linux, add CUDA's ",(0,i.jsx)(n.code,{children:".so"})," libraries to the ",(0,i.jsx)(n.code,{children:"LD_LIBRARY_PATH"}),". For Windows, ensure that CUDA's ",(0,i.jsx)(n.code,{children:".dll"})," libraries are in the PATH. Refer to ",(0,i.jsx)(n.a,{href:"https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html#environment-setup",children:"Windows setup"}),"."]}),"\n"]}),"\n",(0,i.jsx)(n.h4,{id:"3-check-gpu-settings",children:"3. Check GPU Settings"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Navigate to ",(0,i.jsx)(n.code,{children:"Settings"})," > ",(0,i.jsx)(n.code,{children:"Advanced Settings"})," > ",(0,i.jsx)(n.code,{children:"Jan Data Folder"})," to access GPU settings."]}),"\n",(0,i.jsxs)(n.li,{children:["Open the ",(0,i.jsx)(n.code,{children:"settings.json"})," file in the ",(0,i.jsx)(n.code,{children:"settings"})," folder. Here's an example:"]}),"\n"]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-json",metastring:'title="~/jan/settings/settings.json"',children:'{\n "notify": true,\n "run_mode": "gpu",\n "nvidia_driver": {\n "exist": true,\n "version": "531.18"\n },\n "cuda": {\n "exist": true,\n "version": "12"\n },\n "gpus": [\n {\n "id": "0",\n "vram": "12282"\n },\n {\n "id": "1",\n "vram": "6144"\n },\n {\n "id": "2",\n "vram": "6144"\n }\n ],\n "gpu_highest_vram": "0"\n}\n'})}),"\n",(0,i.jsx)(n.h4,{id:"4-restart-jan",children:"4. Restart Jan"}),"\n",(0,i.jsx)(n.p,{children:"Restart Jan application to make sure it works."}),"\n",(0,i.jsx)(n.h5,{id:"troubleshooting-tips-1",children:"Troubleshooting Tips"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["Ensure ",(0,i.jsx)(n.code,{children:"nvidia_driver"})," and ",(0,i.jsx)(n.code,{children:"cuda"})," fields indicate installed software."]}),"\n",(0,i.jsxs)(n.li,{children:["If ",(0,i.jsx)(n.code,{children:"gpus"})," field is empty or lacks your GPU, check NVIDIA driver and CUDA toolkit installations."]}),"\n",(0,i.jsxs)(n.li,{children:["For further assistance, share the ",(0,i.jsx)(n.code,{children:"settings.json"})," file."]}),"\n"]}),"\n",(0,i.jsx)(n.h4,{id:"tested-configurations",children:"Tested Configurations"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.strong,{children:"Windows 11 Pro 64-bit:"})}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"GPU: NVIDIA GeForce RTX 4070ti"}),"\n",(0,i.jsx)(n.li,{children:"CUDA: 12.2"}),"\n",(0,i.jsx)(n.li,{children:"NVIDIA driver: 531.18 (Bare metal)"}),"\n"]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.strong,{children:"Ubuntu 22.04 LTS:"})}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"GPU: NVIDIA GeForce RTX 4070ti"}),"\n",(0,i.jsx)(n.li,{children:"CUDA: 12.2"}),"\n",(0,i.jsx)(n.li,{children:"NVIDIA driver: 545 (Bare metal)"}),"\n"]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.strong,{children:"Ubuntu 20.04 LTS:"})}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"GPU: NVIDIA GeForce GTX 1660ti"}),"\n",(0,i.jsx)(n.li,{children:"CUDA: 12.1"}),"\n",(0,i.jsx)(n.li,{children:"NVIDIA driver: 535 (Proxmox VM passthrough GPU)"}),"\n"]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.strong,{children:"Ubuntu 18.04 LTS:"})}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"GPU: NVIDIA GeForce GTX 1660ti"}),"\n",(0,i.jsx)(n.li,{children:"CUDA: 12.1"}),"\n",(0,i.jsx)(n.li,{children:"NVIDIA driver: 535 (Proxmox VM passthrough GPU)"}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(n.h4,{id:"common-issues-and-solutions",children:"Common Issues and Solutions"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["If the issue persists, try installing the ",(0,i.jsx)(n.a,{href:"/guides/quickstart/#nightly-releases",children:"Nightly version"}),"."]}),"\n",(0,i.jsx)(n.li,{children:"Ensure your (V)RAM is accessible; some users with virtual RAM may require additional configuration."}),"\n",(0,i.jsxs)(n.li,{children:["Seek assistance in ",(0,i.jsx)(n.a,{href:"https://discord.gg/mY69SZaMaC",children:"Jan Discord"}),"."]}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"how-to-get-error-logs",children:"How to Get Error Logs"}),"\n",(0,i.jsx)(n.p,{children:"To get the error logs of your Jan application, follow the steps below:"}),"\n",(0,i.jsx)(n.h4,{id:"jan-application",children:"Jan Application"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Navigate to the main dashboard."}),"\n",(0,i.jsxs)(n.li,{children:["Click the ",(0,i.jsx)(n.strong,{children:"gear icon (\u2699\ufe0f)"})," on the bottom left of your screen."]}),"\n",(0,i.jsxs)(n.li,{children:["Under the ",(0,i.jsx)(n.strong,{children:"Settings screen"}),", click the ",(0,i.jsx)(n.strong,{children:"Advanced Settings"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["On the ",(0,i.jsx)(n.strong,{children:"Jan Data Folder"})," click the ",(0,i.jsx)(n.strong,{children:"folder icon (\ud83d\udcc2)"})," to access the data."]}),"\n",(0,i.jsxs)(n.li,{children:["Click the ",(0,i.jsx)(n.strong,{children:"logs"})," folder."]}),"\n"]}),"\n",(0,i.jsx)(n.h4,{id:"jan-ui",children:"Jan UI"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Open your Unix or Linux terminal."}),"\n",(0,i.jsx)(n.li,{children:"Use the following commands to get the recent 50 lines of log files:"}),"\n"]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"tail -n 50 ~/jan/logs/app.log\n\n"})}),"\n",(0,i.jsx)(n.h4,{id:"jan-api-server",children:"Jan API Server"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Open your Unix or Linux terminal."}),"\n",(0,i.jsx)(n.li,{children:"Use the following commands to get the recent 50 lines of log files:"}),"\n"]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"tail -n 50 ~/jan/logs/server.log\n\n"})}),"\n",(0,i.jsx)(n.admonition,{type:"warning",children:(0,i.jsx)(n.p,{children:"Ensure to redact any private or sensitive information when sharing logs or error details."})}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsxs)(n.p,{children:["If you have any questions or are looking for support, please don't hesitate to contact us via our ",(0,i.jsx)(n.a,{href:"https://discord.gg/Dt7MxDyNNZ",children:"Discord community"})," or create a new issue in our ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan/issues/new/choose",children:"GitHub repository"}),"."]})}),"\n",(0,i.jsx)(n.h2,{id:"permission-denied",children:"Permission Denied"}),"\n",(0,i.jsx)(n.p,{children:"When running Jan, you might encounter the following error message:"}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{children:"Uncaught (in promise) Error: Error invoking layout-480796bff433a3a3.js:538 remote method 'installExtension':\nError Package /Applications/Jan.app/Contents/Resources/app.asar.unpacked/pre-install/janhq-assistant-extension-1.0.0.tgz does not contain a valid manifest:\nError EACCES: permission denied, mkdtemp '/Users/username/.npm/_cacache/tmp/ueCMn4'\n"})}),"\n",(0,i.jsx)(n.p,{children:"This error mainly caused by permission problem during installation. To resolve this issue, follow these steps:"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsx)(n.p,{children:"Open your terminal."}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:["Execute the following command to change ownership of the ",(0,i.jsx)(n.code,{children:"~/.npm"})," directory to the current user:"]}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"sudo chown -R $(whoami) ~/.npm\n"})}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"This command ensures that the necessary permissions are granted for Jan installation, resolving the encountered error."}),"\n",(0,i.jsxs)(n.li,{children:["If you have any questions or are looking for support, please don't hesitate to contact us via our ",(0,i.jsx)(n.a,{href:"https://discord.gg/Dt7MxDyNNZ",children:"Discord community"})," or create a new issue in our ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan/issues/new/choose",children:"GitHub repository"}),"."]}),"\n"]})}),"\n",(0,i.jsx)(n.h2,{id:"somethings-amiss",children:"Something's Amiss"}),"\n",(0,i.jsx)(n.p,{children:"When you start a chat with a model and encounter with a Something's Amiss error, here's how to resolve it:"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Ensure your OS is up to date."}),"\n",(0,i.jsx)(n.li,{children:"Choose a model smaller than 80% of your hardware's V/RAM. For example, on an 8GB machine, opt for models smaller than 6GB."}),"\n",(0,i.jsxs)(n.li,{children:["Install the latest ",(0,i.jsx)(n.a,{href:"/guides/quickstart/#nightly-releases",children:"Nightly release"})," or ",(0,i.jsx)(n.a,{href:"/troubleshooting/#broken-build",children:"clear the application cache"})," when reinstalling Jan."]}),"\n",(0,i.jsx)(n.li,{children:"Confirm your V/RAM accessibility, particularly if using virtual RAM."}),"\n",(0,i.jsxs)(n.li,{children:["Nvidia GPU users should download ",(0,i.jsx)(n.a,{href:"https://developer.nvidia.com/cuda-downloads",children:"CUDA"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["Linux users, ensure your system meets the requirements of gcc 11, g++ 11, cpp 11, or higher. Refer to this ",(0,i.jsx)(n.a,{href:"/troubleshooting/#troubleshooting-nvidia-gpu",children:"link"})," for details."]}),"\n",(0,i.jsxs)(n.li,{children:["You might use the wrong port when you ",(0,i.jsx)(n.a,{href:"/troubleshooting/#how-to-get-error-logs",children:"check the app logs"})," and encounter the Bind address failed at 127.0.0.1:3928 error. To check the port status, try use the ",(0,i.jsx)(n.code,{children:"netstat"})," command, like the following:"]}),"\n"]}),"\n",(0,i.jsxs)(t.A,{children:[(0,i.jsx)(o.A,{value:"mac",label:"MacOS",default:!0,children:(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"netstat -an | grep 3928\n"})})}),(0,i.jsx)(o.A,{value:"windows",label:"Windows",default:!0,children:(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:'netstat -ano | find "3928" \ntasklist /fi "PID eq 3928"\n'})})}),(0,i.jsx)(o.A,{value:"linux",label:"Linux",default:!0,children:(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:'netstat -anpe | grep "3928" \n'})})})]}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.code,{children:"Netstat"})," displays the contents of various network-related data structures for active connections"]})}),"\n",(0,i.jsxs)(n.admonition,{type:"tip",children:[(0,i.jsx)(n.p,{children:"Jan uses the following ports:"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["Nitro: ",(0,i.jsx)(n.code,{children:"3928"})]}),"\n",(0,i.jsxs)(n.li,{children:["Jan API Server: ",(0,i.jsx)(n.code,{children:"1337"})]}),"\n",(0,i.jsxs)(n.li,{children:["Jan Documentation: ",(0,i.jsx)(n.code,{children:"3001"})]}),"\n"]})]}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsxs)(n.p,{children:["If you have any questions or are looking for support, please don't hesitate to contact us via our ",(0,i.jsx)(n.a,{href:"https://discord.gg/Dt7MxDyNNZ",children:"Discord community"})," or create a new issue in our ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan/issues/new/choose",children:"GitHub repository"}),"."]})}),"\n",(0,i.jsx)(n.h2,{id:"undefined-issue",children:"Undefined Issue"}),"\n",(0,i.jsxs)(n.p,{children:["Encountering an ",(0,i.jsx)(n.code,{children:"undefined issue"})," in Jan is caused by errors related to the Nitro tool or other internal processes. It can be resolved through the following steps:"]}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Clearing the Jan folder and then reopen the application to determine if the problem persists"}),"\n",(0,i.jsxs)(n.li,{children:["Manually run the nitro tool located at ",(0,i.jsx)(n.code,{children:"~/jan/extensions/@janhq/inference-nitro-extensions/dist/bin/(your-os)/nitro"})," to check for error messages."]}),"\n",(0,i.jsx)(n.li,{children:"Address any nitro error messages that are identified and reassess the persistence of the issue."}),"\n",(0,i.jsx)(n.li,{children:"Reopen Jan to determine if the problem has been resolved after addressing any identified errors."}),"\n",(0,i.jsxs)(n.li,{children:["If the issue persists, please share the ",(0,i.jsx)(n.a,{href:"/troubleshooting/#how-to-get-error-logs",children:"app logs"})," via ",(0,i.jsx)(n.a,{href:"https://discord.gg/mY69SZaMaC",children:"Jan Discord"})," for further assistance and troubleshooting."]}),"\n"]}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsxs)(n.p,{children:["If you have any questions or are looking for support, please don't hesitate to contact us via our ",(0,i.jsx)(n.a,{href:"https://discord.gg/Dt7MxDyNNZ",children:"Discord community"})," or create a new issue in our ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan/issues/new/choose",children:"GitHub repository"}),"."]})}),"\n",(0,i.jsx)(n.h2,{id:"unexpected-token",children:"Unexpected Token"}),"\n",(0,i.jsxs)(n.p,{children:["Encountering the ",(0,i.jsx)(n.code,{children:"Unexpected token"})," error when initiating a chat with OpenAI models mainly caused by either your OpenAI key or where you access your OpenAI from. This issue can be solved through the following steps:"]}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:["Obtain an OpenAI API key from ",(0,i.jsx)(n.a,{href:"https://platform.openai.com/",children:"OpenAI's developer platform"})," and integrate it into your application."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsx)(n.p,{children:"Trying a VPN could potentially solve the issue, especially if it's related to region locking for accessing OpenAI services. By connecting through a VPN, you may bypass such restrictions and successfully initiate chats with OpenAI models."}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsxs)(n.p,{children:["If you have any questions or are looking for support, please don't hesitate to contact us via our ",(0,i.jsx)(n.a,{href:"https://discord.gg/Dt7MxDyNNZ",children:"Discord community"})," or create a new issue in our ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan/issues/new/choose",children:"GitHub repository"}),"."]})})]})}function p(e={}){const{wrapper:n}={...(0,r.R)(),...e.components};return n?(0,i.jsx)(n,{...e,children:(0,i.jsx)(u,{...e})}):u(e)}},19365:(e,n,s)=>{s.d(n,{A:()=>o});s(96540);var i=s(18215);const r={tabItem:"tabItem_Ymn6"};var t=s(74848);function o(e){let{children:n,hidden:s,className:o}=e;return(0,t.jsx)("div",{role:"tabpanel",className:(0,i.A)(r.tabItem,o),hidden:s,children:n})}},11470:(e,n,s)=>{s.d(n,{A:()=>w});var i=s(96540),r=s(18215),t=s(23104),o=s(56347),l=s(205),a=s(57485),d=s(31682),c=s(89466);function h(e){return i.Children.toArray(e).filter((e=>"\n"!==e)).map((e=>{if(!e||(0,i.isValidElement)(e)&&function(e){const{props:n}=e;return!!n&&"object"==typeof n&&"value"in n}(e))return e;throw new Error(`Docusaurus error: Bad child <${"string"==typeof e.type?e.type:e.type.name}>: all children of the component should be , and every should have a unique "value" prop.`)}))?.filter(Boolean)??[]}function u(e){const{values:n,children:s}=e;return(0,i.useMemo)((()=>{const e=n??function(e){return h(e).map((e=>{let{props:{value:n,label:s,attributes:i,default:r}}=e;return{value:n,label:s,attributes:i,default:r}}))}(s);return function(e){const n=(0,d.X)(e,((e,n)=>e.value===n.value));if(n.length>0)throw new Error(`Docusaurus error: Duplicate values "${n.map((e=>e.value)).join(", ")}" found in . 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Uninstall Jan",id:"1-uninstall-jan",level:4},{value:"2. Delete Application Data, Cache, and User Data",id:"2-delete-application-data-cache-and-user-data",level:4},{value:"3. Additional Step for Versions Before 0.4.2",id:"3-additional-step-for-versions-before-042",level:4},{value:"4. Download the Latest Version",id:"4-download-the-latest-version",level:4},{value:"1. Uninstall Jan",id:"1-uninstall-jan-1",level:4},{value:"2. Delete Application Data, Cache, and User Data",id:"2-delete-application-data-cache-and-user-data-1",level:4},{value:"3. Additional Step for Versions Before 0.4.2",id:"3-additional-step-for-versions-before-042-1",level:4},{value:"4. Download the Latest Version",id:"4-download-the-latest-version-1",level:4},{value:"1. Uninstall Jan",id:"1-uninstall-jan-2",level:4},{value:"2. Delete Application Data, Cache, and User Data",id:"2-delete-application-data-cache-and-user-data-2",level:4},{value:"3. Additional Step for Versions Before 0.4.2",id:"3-additional-step-for-versions-before-042-2",level:4},{value:"4. Download the Latest Version",id:"4-download-the-latest-version-2",level:4},{value:"Troubleshooting NVIDIA GPU",id:"troubleshooting-nvidia-gpu",level:2},{value:"1. Ensure GPU Mode Requirements",id:"1-ensure-gpu-mode-requirements",level:4},{value:"NVIDIA Driver",id:"nvidia-driver",level:5},{value:"CUDA Toolkit",id:"cuda-toolkit",level:5},{value:"NVIDIA Driver",id:"nvidia-driver-1",level:5},{value:"CUDA Toolkit",id:"cuda-toolkit-1",level:5},{value:"Linux Specifics",id:"linux-specifics",level:5},{value:"2. Switch to GPU Mode",id:"2-switch-to-gpu-mode",level:4},{value:"Troubleshooting Tips",id:"troubleshooting-tips",level:5},{value:"3. Check GPU Settings",id:"3-check-gpu-settings",level:4},{value:"4. Restart Jan",id:"4-restart-jan",level:4},{value:"Troubleshooting Tips",id:"troubleshooting-tips-1",level:5},{value:"Tested Configurations",id:"tested-configurations",level:4},{value:"Common Issues and Solutions",id:"common-issues-and-solutions",level:4},{value:"How to Get Error Logs",id:"how-to-get-error-logs",level:2},{value:"Jan Application",id:"jan-application",level:4},{value:"Jan UI",id:"jan-ui",level:4},{value:"Jan API Server",id:"jan-api-server",level:4},{value:"Permission Denied",id:"permission-denied",level:2},{value:"Something's Amiss",id:"somethings-amiss",level:2},{value:"Undefined Issue",id:"undefined-issue",level:2},{value:"Unexpected Token",id:"unexpected-token",level:2}];function u(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",h4:"h4",h5:"h5",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,r.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(n.h2,{id:"broken-build",children:"Broken Build"}),"\n",(0,i.jsx)(n.p,{children:"To resolve the issue where your Jan is stuck in a broken build after installation."}),"\n",(0,i.jsxs)(t.A,{children:[(0,i.jsxs)(o.A,{value:"mac",label:"Mac",default:!0,children:[(0,i.jsx)(n.h4,{id:"1-uninstall-jan",children:"1. Uninstall Jan"}),(0,i.jsxs)(n.p,{children:["Delete Jan from your ",(0,i.jsx)(n.code,{children:"/Applications"})," folder."]}),(0,i.jsx)(n.h4,{id:"2-delete-application-data-cache-and-user-data",children:"2. Delete Application Data, Cache, and User Data"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-zsh",children:"# Step 1: Delete the application data\n## Newer versions\nrm -rf ~/Library/Application\\ Support/jan\n## Versions 0.2.0 and older\nrm -rf ~/Library/Application\\ Support/jan-electron\n\n# Step 2: Clear application cache\nrm -rf ~/Library/Caches/jan*\n\n# Step 3: Remove all user data\nrm -rf ~/jan\n"})}),(0,i.jsx)(n.h4,{id:"3-additional-step-for-versions-before-042",children:"3. Additional Step for Versions Before 0.4.2"}),(0,i.jsxs)(n.p,{children:["If you are using a version before ",(0,i.jsx)(n.code,{children:"0.4.2"}),", you need to run the following commands:"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-zsh",children:"ps aux | grep nitro\n# Looks for processes like `nitro` and `nitro_arm_64`, and kill them one by one by process ID\nkill -9 \n"})}),(0,i.jsx)(n.h4,{id:"4-download-the-latest-version",children:"4. Download the Latest Version"}),(0,i.jsxs)(n.p,{children:["Download the latest version of Jan from our ",(0,i.jsx)(n.a,{href:"https://jan.ai/",children:"homepage"}),"."]})]}),(0,i.jsxs)(o.A,{value:"windows",label:"Windows",children:[(0,i.jsx)(n.h4,{id:"1-uninstall-jan-1",children:"1. Uninstall Jan"}),(0,i.jsxs)(n.p,{children:["To uninstall Jan on Windows, use the ",(0,i.jsx)(n.a,{href:"https://support.microsoft.com/en-us/windows/uninstall-or-remove-apps-and-programs-in-windows-4b55f974-2cc6-2d2b-d092-5905080eaf98",children:"Windows Control Panel"}),"."]}),(0,i.jsx)(n.h4,{id:"2-delete-application-data-cache-and-user-data-1",children:"2. Delete Application Data, Cache, and User Data"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"# Delete the `/Jan` directory in Windows's AppData\nrm -r C:\\Users\\%USERNAME%\\AppData\\Roaming\\Jan\n\n# Delete the `/Jan` directory in Windows's AppData\nrm -r C:\\Users\\%USERNAME%\\jan\n"})}),(0,i.jsx)(n.h4,{id:"3-additional-step-for-versions-before-042-1",children:"3. Additional Step for Versions Before 0.4.2"}),(0,i.jsxs)(n.p,{children:["If you are using a version before ",(0,i.jsx)(n.code,{children:"0.4.2"}),", you need to run the following commands:"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:'# Find the process ID (PID) of the nitro process by filtering the list by process name\ntasklist | findstr "nitro"\n# Once you have the PID of the process you want to terminate, run the `taskkill`\ntaskkill /F /PID \n'})}),(0,i.jsx)(n.h4,{id:"4-download-the-latest-version-1",children:"4. Download the Latest Version"}),(0,i.jsxs)(n.p,{children:["Download the latest version of Jan from our ",(0,i.jsx)(n.a,{href:"https://jan.ai/",children:"homepage"}),"."]})]}),(0,i.jsxs)(o.A,{value:"linux",label:"Linux",children:[(0,i.jsx)(n.h4,{id:"1-uninstall-jan-2",children:"1. Uninstall Jan"}),(0,i.jsxs)(t.A,{groupId:"linux_type",children:[(0,i.jsxs)(o.A,{value:"linux_main",label:"Linux",children:[(0,i.jsx)(n.p,{children:"To uninstall Jan, you should use your package manager's uninstall or remove option."}),(0,i.jsx)(n.p,{children:"This will return your system to its state before the installation of Jan."}),(0,i.jsx)(n.p,{children:"This method can also reset all settings if you are experiencing any issues with Jan."})]}),(0,i.jsxs)(o.A,{value:"deb_ub",label:"Debian / Ubuntu",children:[(0,i.jsx)(n.p,{children:"To uninstall Jan, run the following command.MDXContent"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"sudo apt-get remove jan\n# where jan is the name of Jan package\n"})}),(0,i.jsx)(n.p,{children:"This will return your system to its state before the installation of Jan."}),(0,i.jsx)(n.p,{children:"This method can also be used to reset all settings if you are experiencing any issues with Jan."})]}),(0,i.jsxs)(o.A,{value:"other",label:"Others",children:[(0,i.jsxs)(n.p,{children:["To uninstall Jan, you can uninstall Jan by deleting the ",(0,i.jsx)(n.code,{children:".AppImage"})," file."]}),(0,i.jsxs)(n.p,{children:["If you wish to completely remove all user data associated with Jan after uninstallation, you can delete the user data at ",(0,i.jsx)(n.code,{children:"~/jan"}),"."]}),(0,i.jsx)(n.p,{children:"This method can also reset all settings if you are experiencing any issues with Jan."})]})]}),(0,i.jsx)(n.h4,{id:"2-delete-application-data-cache-and-user-data-2",children:"2. Delete Application Data, Cache, and User Data"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"# You can delete the user data folders located at the following `~/jan`\nrm -rf ~/jan\n"})}),(0,i.jsx)(n.h4,{id:"3-additional-step-for-versions-before-042-2",children:"3. Additional Step for Versions Before 0.4.2"}),(0,i.jsxs)(n.p,{children:["If you are using a version before ",(0,i.jsx)(n.code,{children:"0.4.2"}),", you need to run the following commands:"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-zsh",children:"ps aux | grep nitro\n# Looks for processes like `nitro` and `nitro_arm_64`, and kill them one by one by process ID\nkill -9 \n"})}),(0,i.jsx)(n.h4,{id:"4-download-the-latest-version-2",children:"4. Download the Latest Version"}),(0,i.jsxs)(n.p,{children:["Download the latest version of Jan from our ",(0,i.jsx)(n.a,{href:"https://jan.ai/",children:"homepage"}),"."]})]})]}),"\n",(0,i.jsx)(n.p,{children:"By following these steps, you can cleanly uninstall and reinstall Jan, ensuring a smooth and error-free experience with the latest version."}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsx)(n.p,{children:"Before reinstalling Jan, ensure it's completely removed from all shared spaces if it's installed on multiple user accounts on your device."})}),"\n",(0,i.jsx)(n.h2,{id:"troubleshooting-nvidia-gpu",children:"Troubleshooting NVIDIA GPU"}),"\n",(0,i.jsx)(n.p,{children:"To resolve issues when the Jan app does not utilize the NVIDIA GPU on Windows and Linux systems."}),"\n",(0,i.jsx)(n.h4,{id:"1-ensure-gpu-mode-requirements",children:"1. Ensure GPU Mode Requirements"}),"\n",(0,i.jsxs)(t.A,{children:[(0,i.jsxs)(o.A,{value:"windows",label:"Windows",children:[(0,i.jsx)(n.h5,{id:"nvidia-driver",children:"NVIDIA Driver"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["Install an ",(0,i.jsx)(n.a,{href:"https://www.nvidia.com/Download/index.aspx",children:"NVIDIA Driver"})," supporting CUDA 11.7 or higher.","\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Use the following command to verify the installation:"}),"\n"]}),"\n"]}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"nvidia-smi\n"})}),(0,i.jsx)(n.h5,{id:"cuda-toolkit",children:"CUDA Toolkit"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["Install a ",(0,i.jsx)(n.a,{href:"https://developer.nvidia.com/cuda-downloads",children:"CUDA toolkit"})," compatible with your NVIDIA driver.","\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Use the following command to verify the installation:"}),"\n"]}),"\n"]}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"nvcc --version\n"})})]}),(0,i.jsxs)(o.A,{value:"linux",label:"Linux",children:[(0,i.jsx)(n.h5,{id:"nvidia-driver-1",children:"NVIDIA Driver"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["Install an ",(0,i.jsx)(n.a,{href:"https://www.nvidia.com/Download/index.aspx",children:"NVIDIA Driver"})," supporting CUDA 11.7 or higher.","\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Use the following command to verify the installation:"}),"\n"]}),"\n"]}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"nvidia-smi\n"})}),(0,i.jsx)(n.h5,{id:"cuda-toolkit-1",children:"CUDA Toolkit"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["Install a ",(0,i.jsx)(n.a,{href:"https://developer.nvidia.com/cuda-downloads",children:"CUDA toolkit"})," compatible with your NVIDIA driver.","\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Use the following command to verify the installation:"}),"\n"]}),"\n"]}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"nvcc --version\n"})}),(0,i.jsx)(n.h5,{id:"linux-specifics",children:"Linux Specifics"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:["Ensure that ",(0,i.jsx)(n.code,{children:"gcc-11"}),", ",(0,i.jsx)(n.code,{children:"g++-11"}),", ",(0,i.jsx)(n.code,{children:"cpp-11"}),", or higher is installed."]}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["See ",(0,i.jsx)(n.a,{href:"https://gcc.gnu.org/projects/cxx-status.html#cxx17",children:"instructions"})," for Ubuntu installation."]}),"\n"]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Post-Installation Actions"}),": Add CUDA libraries to ",(0,i.jsx)(n.code,{children:"LD_LIBRARY_PATH"}),"."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:["Follow the ",(0,i.jsx)(n.a,{href:"https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#post-installation-actions",children:"Post-installation Actions"})," instructions."]}),"\n"]}),"\n"]})]})]}),"\n",(0,i.jsx)(n.h4,{id:"2-switch-to-gpu-mode",children:"2. Switch to GPU Mode"}),"\n",(0,i.jsxs)(n.p,{children:["Jan defaults to CPU mode but automatically switches to GPU mode if your system supports it, selecting the GPU with the highest VRAM. Check this setting in ",(0,i.jsx)(n.code,{children:"Settings"})," > ",(0,i.jsx)(n.code,{children:"Advanced Settings"}),"."]}),"\n",(0,i.jsx)(n.h5,{id:"troubleshooting-tips",children:"Troubleshooting Tips"}),"\n",(0,i.jsx)(n.p,{children:"If GPU mode isn't enabled by default:"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Confirm that you have installed an NVIDIA driver supporting CUDA 11.7 or higher. Refer to ",(0,i.jsx)(n.a,{href:"https://docs.nvidia.com/deploy/cuda-compatibility/index.html#binary-compatibility__table-toolkit-driver",children:"CUDA compatibility"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["Ensure compatibility of the CUDA toolkit with your NVIDIA driver. Refer to ",(0,i.jsx)(n.a,{href:"https://docs.nvidia.com/deploy/cuda-compatibility/index.html#binary-compatibility__table-toolkit-driver",children:"CUDA compatibility"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["For Linux, add CUDA's ",(0,i.jsx)(n.code,{children:".so"})," libraries to the ",(0,i.jsx)(n.code,{children:"LD_LIBRARY_PATH"}),". For Windows, ensure that CUDA's ",(0,i.jsx)(n.code,{children:".dll"})," libraries are in the PATH. Refer to ",(0,i.jsx)(n.a,{href:"https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html#environment-setup",children:"Windows setup"}),"."]}),"\n"]}),"\n",(0,i.jsx)(n.h4,{id:"3-check-gpu-settings",children:"3. Check GPU Settings"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Navigate to ",(0,i.jsx)(n.code,{children:"Settings"})," > ",(0,i.jsx)(n.code,{children:"Advanced Settings"})," > ",(0,i.jsx)(n.code,{children:"Jan Data Folder"})," to access GPU settings."]}),"\n",(0,i.jsxs)(n.li,{children:["Open the ",(0,i.jsx)(n.code,{children:"settings.json"})," file in the ",(0,i.jsx)(n.code,{children:"settings"})," folder. Here's an example:"]}),"\n"]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-json",metastring:'title="~/jan/settings/settings.json"',children:'{\n "notify": true,\n "run_mode": "gpu",\n "nvidia_driver": {\n "exist": true,\n "version": "531.18"\n },\n "cuda": {\n "exist": true,\n "version": "12"\n },\n "gpus": [\n {\n "id": "0",\n "vram": "12282"\n },\n {\n "id": "1",\n "vram": "6144"\n },\n {\n "id": "2",\n "vram": "6144"\n }\n ],\n "gpu_highest_vram": "0"\n}\n'})}),"\n",(0,i.jsx)(n.h4,{id:"4-restart-jan",children:"4. Restart Jan"}),"\n",(0,i.jsx)(n.p,{children:"Restart Jan application to make sure it works."}),"\n",(0,i.jsx)(n.h5,{id:"troubleshooting-tips-1",children:"Troubleshooting Tips"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["Ensure ",(0,i.jsx)(n.code,{children:"nvidia_driver"})," and ",(0,i.jsx)(n.code,{children:"cuda"})," fields indicate installed software."]}),"\n",(0,i.jsxs)(n.li,{children:["If ",(0,i.jsx)(n.code,{children:"gpus"})," field is empty or lacks your GPU, check NVIDIA driver and CUDA toolkit installations."]}),"\n",(0,i.jsxs)(n.li,{children:["For further assistance, share the ",(0,i.jsx)(n.code,{children:"settings.json"})," file."]}),"\n"]}),"\n",(0,i.jsx)(n.h4,{id:"tested-configurations",children:"Tested Configurations"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.strong,{children:"Windows 11 Pro 64-bit:"})}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"GPU: NVIDIA GeForce RTX 4070ti"}),"\n",(0,i.jsx)(n.li,{children:"CUDA: 12.2"}),"\n",(0,i.jsx)(n.li,{children:"NVIDIA driver: 531.18 (Bare metal)"}),"\n"]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.strong,{children:"Ubuntu 22.04 LTS:"})}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"GPU: NVIDIA GeForce RTX 4070ti"}),"\n",(0,i.jsx)(n.li,{children:"CUDA: 12.2"}),"\n",(0,i.jsx)(n.li,{children:"NVIDIA driver: 545 (Bare metal)"}),"\n"]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.strong,{children:"Ubuntu 20.04 LTS:"})}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"GPU: NVIDIA GeForce GTX 1660ti"}),"\n",(0,i.jsx)(n.li,{children:"CUDA: 12.1"}),"\n",(0,i.jsx)(n.li,{children:"NVIDIA driver: 535 (Proxmox VM passthrough GPU)"}),"\n"]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.strong,{children:"Ubuntu 18.04 LTS:"})}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"GPU: NVIDIA GeForce GTX 1660ti"}),"\n",(0,i.jsx)(n.li,{children:"CUDA: 12.1"}),"\n",(0,i.jsx)(n.li,{children:"NVIDIA driver: 535 (Proxmox VM passthrough GPU)"}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(n.h4,{id:"common-issues-and-solutions",children:"Common Issues and Solutions"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["If the issue persists, try installing the ",(0,i.jsx)(n.a,{href:"/guides/quickstart/#nightly-releases",children:"Nightly version"}),"."]}),"\n",(0,i.jsx)(n.li,{children:"Ensure your (V)RAM is accessible; some users with virtual RAM may require additional configuration."}),"\n",(0,i.jsxs)(n.li,{children:["Seek assistance in ",(0,i.jsx)(n.a,{href:"https://discord.gg/mY69SZaMaC",children:"Jan Discord"}),"."]}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"how-to-get-error-logs",children:"How to Get Error Logs"}),"\n",(0,i.jsx)(n.p,{children:"To get the error logs of your Jan application, follow the steps below:"}),"\n",(0,i.jsx)(n.h4,{id:"jan-application",children:"Jan Application"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Navigate to the main dashboard."}),"\n",(0,i.jsxs)(n.li,{children:["Click the ",(0,i.jsx)(n.strong,{children:"gear icon (\u2699\ufe0f)"})," on the bottom left of your screen."]}),"\n",(0,i.jsxs)(n.li,{children:["Under the ",(0,i.jsx)(n.strong,{children:"Settings screen"}),", click the ",(0,i.jsx)(n.strong,{children:"Advanced Settings"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["On the ",(0,i.jsx)(n.strong,{children:"Jan Data Folder"})," click the ",(0,i.jsx)(n.strong,{children:"folder icon (\ud83d\udcc2)"})," to access the data."]}),"\n",(0,i.jsxs)(n.li,{children:["Click the ",(0,i.jsx)(n.strong,{children:"logs"})," folder."]}),"\n"]}),"\n",(0,i.jsx)(n.h4,{id:"jan-ui",children:"Jan UI"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Open your Unix or Linux terminal."}),"\n",(0,i.jsx)(n.li,{children:"Use the following commands to get the recent 50 lines of log files:"}),"\n"]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"tail -n 50 ~/jan/logs/app.log\n\n"})}),"\n",(0,i.jsx)(n.h4,{id:"jan-api-server",children:"Jan API Server"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Open your Unix or Linux terminal."}),"\n",(0,i.jsx)(n.li,{children:"Use the following commands to get the recent 50 lines of log files:"}),"\n"]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"tail -n 50 ~/jan/logs/server.log\n\n"})}),"\n",(0,i.jsx)(n.admonition,{type:"warning",children:(0,i.jsx)(n.p,{children:"Ensure to redact any private or sensitive information when sharing logs or error details."})}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsxs)(n.p,{children:["If you have any questions or are looking for support, please don't hesitate to contact us via our ",(0,i.jsx)(n.a,{href:"https://discord.gg/Dt7MxDyNNZ",children:"Discord community"})," or create a new issue in our ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan/issues/new/choose",children:"GitHub repository"}),"."]})}),"\n",(0,i.jsx)(n.h2,{id:"permission-denied",children:"Permission Denied"}),"\n",(0,i.jsx)(n.p,{children:"When running Jan, you might encounter the following error message:"}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{children:"Uncaught (in promise) Error: Error invoking layout-480796bff433a3a3.js:538 remote method 'installExtension':\nError Package /Applications/Jan.app/Contents/Resources/app.asar.unpacked/pre-install/janhq-assistant-extension-1.0.0.tgz does not contain a valid manifest:\nError EACCES: permission denied, mkdtemp '/Users/username/.npm/_cacache/tmp/ueCMn4'\n"})}),"\n",(0,i.jsx)(n.p,{children:"This error mainly caused by permission problem during installation. To resolve this issue, follow these steps:"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsx)(n.p,{children:"Open your terminal."}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:["Execute the following command to change ownership of the ",(0,i.jsx)(n.code,{children:"~/.npm"})," directory to the current user:"]}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"sudo chown -R $(whoami) ~/.npm\n"})}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"This command ensures that the necessary permissions are granted for Jan installation, resolving the encountered error."}),"\n",(0,i.jsxs)(n.li,{children:["If you have any questions or are looking for support, please don't hesitate to contact us via our ",(0,i.jsx)(n.a,{href:"https://discord.gg/Dt7MxDyNNZ",children:"Discord community"})," or create a new issue in our ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan/issues/new/choose",children:"GitHub repository"}),"."]}),"\n"]})}),"\n",(0,i.jsx)(n.h2,{id:"somethings-amiss",children:"Something's Amiss"}),"\n",(0,i.jsx)(n.p,{children:"When you start a chat with a model and encounter with a Something's Amiss error, here's how to resolve it:"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Ensure your OS is up to date."}),"\n",(0,i.jsx)(n.li,{children:"Choose a model smaller than 80% of your hardware's V/RAM. For example, on an 8GB machine, opt for models smaller than 6GB."}),"\n",(0,i.jsxs)(n.li,{children:["Install the latest ",(0,i.jsx)(n.a,{href:"/guides/quickstart/#nightly-releases",children:"Nightly release"})," or ",(0,i.jsx)(n.a,{href:"/troubleshooting/#broken-build",children:"clear the application cache"})," when reinstalling Jan."]}),"\n",(0,i.jsx)(n.li,{children:"Confirm your V/RAM accessibility, particularly if using virtual RAM."}),"\n",(0,i.jsxs)(n.li,{children:["Nvidia GPU users should download ",(0,i.jsx)(n.a,{href:"https://developer.nvidia.com/cuda-downloads",children:"CUDA"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["Linux users, ensure your system meets the requirements of gcc 11, g++ 11, cpp 11, or higher. Refer to this ",(0,i.jsx)(n.a,{href:"/troubleshooting/#troubleshooting-nvidia-gpu",children:"link"})," for details."]}),"\n",(0,i.jsxs)(n.li,{children:["You might use the wrong port when you ",(0,i.jsx)(n.a,{href:"/troubleshooting/#how-to-get-error-logs",children:"check the app logs"})," and encounter the Bind address failed at 127.0.0.1:3928 error. To check the port status, try use the ",(0,i.jsx)(n.code,{children:"netstat"})," command, like the following:"]}),"\n"]}),"\n",(0,i.jsxs)(t.A,{children:[(0,i.jsx)(o.A,{value:"mac",label:"MacOS",default:!0,children:(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"netstat -an | grep 3928\n"})})}),(0,i.jsx)(o.A,{value:"windows",label:"Windows",default:!0,children:(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:'netstat -ano | find "3928" \ntasklist /fi "PID eq 3928"\n'})})}),(0,i.jsx)(o.A,{value:"linux",label:"Linux",default:!0,children:(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:'netstat -anpe | grep "3928" \n'})})})]}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.code,{children:"Netstat"})," displays the contents of various network-related data structures for active connections"]})}),"\n",(0,i.jsxs)(n.admonition,{type:"tip",children:[(0,i.jsx)(n.p,{children:"Jan uses the following ports:"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["Nitro: ",(0,i.jsx)(n.code,{children:"3928"})]}),"\n",(0,i.jsxs)(n.li,{children:["Jan API Server: ",(0,i.jsx)(n.code,{children:"1337"})]}),"\n",(0,i.jsxs)(n.li,{children:["Jan Documentation: ",(0,i.jsx)(n.code,{children:"3001"})]}),"\n"]})]}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsxs)(n.p,{children:["If you have any questions or are looking for support, please don't hesitate to contact us via our ",(0,i.jsx)(n.a,{href:"https://discord.gg/Dt7MxDyNNZ",children:"Discord community"})," or create a new issue in our ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan/issues/new/choose",children:"GitHub repository"}),"."]})}),"\n",(0,i.jsx)(n.h2,{id:"undefined-issue",children:"Undefined Issue"}),"\n",(0,i.jsxs)(n.p,{children:["Encountering an ",(0,i.jsx)(n.code,{children:"undefined issue"})," in Jan is caused by errors related to the Nitro tool or other internal processes. It can be resolved through the following steps:"]}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Clearing the Jan folder and then reopen the application to determine if the problem persists"}),"\n",(0,i.jsxs)(n.li,{children:["Manually run the nitro tool located at ",(0,i.jsx)(n.code,{children:"~/jan/extensions/@janhq/inference-nitro-extensions/dist/bin/(your-os)/nitro"})," to check for error messages."]}),"\n",(0,i.jsx)(n.li,{children:"Address any nitro error messages that are identified and reassess the persistence of the issue."}),"\n",(0,i.jsx)(n.li,{children:"Reopen Jan to determine if the problem has been resolved after addressing any identified errors."}),"\n",(0,i.jsxs)(n.li,{children:["If the issue persists, please share the ",(0,i.jsx)(n.a,{href:"/troubleshooting/#how-to-get-error-logs",children:"app logs"})," via ",(0,i.jsx)(n.a,{href:"https://discord.gg/mY69SZaMaC",children:"Jan Discord"})," for further assistance and troubleshooting."]}),"\n"]}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsxs)(n.p,{children:["If you have any questions or are looking for support, please don't hesitate to contact us via our ",(0,i.jsx)(n.a,{href:"https://discord.gg/Dt7MxDyNNZ",children:"Discord community"})," or create a new issue in our ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan/issues/new/choose",children:"GitHub repository"}),"."]})}),"\n",(0,i.jsx)(n.h2,{id:"unexpected-token",children:"Unexpected Token"}),"\n",(0,i.jsxs)(n.p,{children:["Encountering the ",(0,i.jsx)(n.code,{children:"Unexpected token"})," error when initiating a chat with OpenAI models mainly caused by either your OpenAI key or where you access your OpenAI from. This issue can be solved through the following steps:"]}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:["Obtain an OpenAI API key from ",(0,i.jsx)(n.a,{href:"https://platform.openai.com/",children:"OpenAI's developer platform"})," and integrate it into your application."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsx)(n.p,{children:"Trying a VPN could potentially solve the issue, especially if it's related to region locking for accessing OpenAI services. By connecting through a VPN, you may bypass such restrictions and successfully initiate chats with OpenAI models."}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsxs)(n.p,{children:["If you have any questions or are looking for support, please don't hesitate to contact us via our ",(0,i.jsx)(n.a,{href:"https://discord.gg/Dt7MxDyNNZ",children:"Discord community"})," or create a new issue in our ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan/issues/new/choose",children:"GitHub repository"}),"."]})})]})}function p(e={}){const{wrapper:n}={...(0,r.R)(),...e.components};return n?(0,i.jsx)(n,{...e,children:(0,i.jsx)(u,{...e})}):u(e)}},19365:(e,n,s)=>{s.d(n,{A:()=>o});s(96540);var i=s(18215);const r={tabItem:"tabItem_Ymn6"};var t=s(74848);function o(e){let{children:n,hidden:s,className:o}=e;return(0,t.jsx)("div",{role:"tabpanel",className:(0,i.A)(r.tabItem,o),hidden:s,children:n})}},11470:(e,n,s)=>{s.d(n,{A:()=>w});var i=s(96540),r=s(18215),t=s(23104),o=s(56347),l=s(205),a=s(57485),d=s(31682),c=s(89466);function h(e){return i.Children.toArray(e).filter((e=>"\n"!==e)).map((e=>{if(!e||(0,i.isValidElement)(e)&&function(e){const{props:n}=e;return!!n&&"object"==typeof n&&"value"in n}(e))return e;throw new Error(`Docusaurus error: Bad child <${"string"==typeof e.type?e.type:e.type.name}>: all children of the component should be , and every should have a unique "value" prop.`)}))?.filter(Boolean)??[]}function u(e){const{values:n,children:s}=e;return(0,i.useMemo)((()=>{const e=n??function(e){return h(e).map((e=>{let{props:{value:n,label:s,attributes:i,default:r}}=e;return{value:n,label:s,attributes:i,default:r}}))}(s);return function(e){const n=(0,d.X)(e,((e,n)=>e.value===n.value));if(n.length>0)throw new Error(`Docusaurus error: Duplicate values "${n.map((e=>e.value)).join(", ")}" found in . 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\ No newline at end of file diff --git a/assets/js/11c8e996.3b9b91c6.js b/assets/js/11c8e996.3b9b91c6.js deleted file mode 100644 index 045ad8cc..00000000 --- a/assets/js/11c8e996.3b9b91c6.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[2563],{11318:(e,n,s)=>{s.r(n),s.d(n,{assets:()=>d,contentTitle:()=>l,default:()=>h,frontMatter:()=>t,metadata:()=>o,toc:()=>a});var i=s(74848),r=s(28453);const t={title:"TensorRT-LLM",slug:"/guides/providers/tensorrt-llm",keywords:["Jan","Customizable Intelligence","LLM","local AI","privacy focus","free and open source","private and offline","conversational AI","no-subscription fee","large language models","TensorRT-LLM Extension","TensorRT","tensorRT","extension"]},l=void 0,o={id:"guides/providers/tensorrt-llm",title:"TensorRT-LLM",description:"TensorRT-LLM support was launched in 0.4.9, and should be regarded as an Experimental feature.",source:"@site/docs/guides/providers/tensorrt-llm.md",sourceDirName:"guides/providers",slug:"/guides/providers/tensorrt-llm",permalink:"/guides/providers/tensorrt-llm",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/guides/providers/tensorrt-llm.md",tags:[],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1711818688,formattedLastUpdatedAt:"Mar 30, 2024",frontMatter:{title:"TensorRT-LLM",slug:"/guides/providers/tensorrt-llm",keywords:["Jan","Customizable Intelligence","LLM","local AI","privacy focus","free and open source","private and offline","conversational AI","no-subscription fee","large language models","TensorRT-LLM Extension","TensorRT","tensorRT","extension"]}},d={},a=[{value:"What is TensorRT-LLM?",id:"what-is-tensorrt-llm",level:2},{value:"Requirements",id:"requirements",level:2},{value:"Hardware",id:"hardware",level:3},{value:"Software",id:"software",level:3},{value:"Getting Started",id:"getting-started",level:2},{value:"Install TensorRT-Extension",id:"install-tensorrt-extension",level:3},{value:"Download a TensorRT-LLM Model",id:"download-a-tensorrt-llm-model",level:3},{value:"Importing Pre-built Models",id:"importing-pre-built-models",level:3},{value:"Using a TensorRT-LLM Model",id:"using-a-tensorrt-llm-model",level:3},{value:"Configure Settings",id:"configure-settings",level:3},{value:"Troubleshooting",id:"troubleshooting",level:2},{value:"Extension Details",id:"extension-details",level:2},{value:"Manual Build",id:"manual-build",level:3},{value:"Uninstall Extension",id:"uninstall-extension",level:3},{value:"Build your own TensorRT models",id:"build-your-own-tensorrt-models",level:2}];function c(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",h3:"h3",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,r.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsxs)(n.admonition,{type:"info",children:[(0,i.jsx)(n.p,{children:"TensorRT-LLM support was launched in 0.4.9, and should be regarded as an Experimental feature."}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Only Windows is supported for now."}),"\n",(0,i.jsxs)(n.li,{children:["Please report bugs in our Discord's ",(0,i.jsx)(n.a,{href:"https://discord.com/channels/1107178041848909847/1201832734704795688",children:"#tensorrt-llm"})," channel."]}),"\n"]})]}),"\n",(0,i.jsxs)(n.p,{children:["Jan supports ",(0,i.jsx)(n.a,{href:"https://github.com/NVIDIA/TensorRT-LLM",children:"TensorRT-LLM"})," as an alternate Inference Engine, for users who have Nvidia GPUs with large VRAM. 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"@janhq/conversational-extension",\n "version": "1.0.0",\n "main": "dist/index.js",\n "description": "This extension enables conversations and state persistence via your filesystem",\n "url": "extension://@janhq/conversational-extension/dist/index.js"\n },\n "@janhq/inference-nitro-extension": {\n "_active": true,\n "listeners": {},\n "origin": "/Applications/Jan.app/Contents/Resources/app.asar.unpacked/pre-install/janhq-inference-nitro-extension-1.0.0.tgz",\n "installOptions": { "version": false, "fullMetadata": false },\n "name": "@janhq/inference-nitro-extension",\n "version": "1.0.0",\n "main": "dist/index.js",\n "description": "This extension embeds Nitro, a lightweight (3mb) inference engine written in C++. 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",r="data:image/png;base64,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",h="data:image/png;base64,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",n="data:image/png;base64,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",u="data:image/png;base64,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",o="data:image/png;base64,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",c="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMoAAADFCAYAAAFiNF3rAAAACXBIWXMAAC4jAAAuIwF4pT92AAAgAElEQVR4nO2deXAc1ZnAP8+lGY1al+VDkoVssGwQsY2LArNQxGIJ2ZgixGxSHE5qAZM4fwSIKUylSNViaXcrbBYcTAJ/LGSxqUrsbC1ZDEnFm2RrkcmSzVEuCycoGAljIUtGPnS1jtF4JG19rW65p9XH69evj5l+v6opjaSZ7n799ffe+473vUWzs7Og5nhndzv+ur55dQswJKIc6nhnt3LGzfJL/TfHSC0yO2AkEoHG+hVU5xGExCLl/fytU062vnm18rv0c1XDZU4bUyUIieHI8c7uVu1J1O8/6v3Y6YmGQJbRsNMjWSGK2f1Mbl3XmRloqo2YfsbyYYjFYtBQW2d4gJVf/ZP0884b10g/v7+9RPdzEbkV+HS0qa8e31eWVxCdRM2jr0wZt0hBFLPEeqM9idIio1aZ31gAuPaxUcuTkGB6IuUk+FN5rz3JqR+uk15WmJ7o6HPlpq0jOYGC5a3Tnmyx0Gj7JEByonWPdMIFsWfByfRkR30ilIc4OS29154MDB4UqhOpwVuFt/GO6+JUJ6PSI3FyFlq+Leb97aZ1l3SHSo/0EFKLFjwkVlCdSEHvZN/9in5fR90Fqfn0kyK8/bRg+hkmJyLB0a0jBecOeSdSTyZcbxHjk70xfzyUkfr17ntd7dq/OX1JrTne2V0p/9yJE0fld1ZYzhUczOdWCULiFL6Jqf+qnsspMx8HfCSK2bmnzGo+7XTCiLroic5E5ClVHtMzM9KvyZISFnPsfJlo5ZCZ0p+HqcEB0GqCON+X4b3LTGXgzNmzRFf/2jtDsGvfaem9es6md7K8liRLkkQnwDmCMnyTEDP7jDL8qscT5pNC7cn0TsB0QognalxaP//7VQ1J4rma6e1STqS0ZGwyJs3PmI/9eIu0czPmk0CFbO70ghP97A8XiU6SpydGJ1Hfe71WqOdkoKMnpi3RMyfsysPyJEZ4NukzOpFe/2UqExJQRigTo86RyUlImL9dns69WGM0kxxhdR7l7izwDmpRTzT0huogoXY6VSouLzsEqYF5ktGb7pWlU7BsSTX09p2F7MWFfS+LiRMtWuVTZt4rAWAvAHxB+Yd6gqxFPVErFwRYXFnlW4NA1SjJW4tzbHVDUBqkjIoiC4+uI5Q+2PAxI5WMn4+ZFsOZGAPbixhSh7IVho0pS6dhbHx8wd/RCT086nyI6OzNwO1tXbr/0zqtSRunO86o5wFqfWDxSG1p64K/9GZ0/6c1stSQNMhywm/VgB0vjMNLD6ctT0RjV9nFsjFGqKfl8078K6ILGkbSiE1r0/DvT1xuGBMhhboxB3alYduz+Tp19MPp+Ybpeb212PXtW0HdmLX10fnZv57xpAQjQNOw499vhvLSKNNGKDCZMresGzWVBDYMX09+aY1rDQEnkgEdfVAapJaKmpd+OSW9gNJKtYK6MUaK/YvdTdDckJTe3/fMOHzQr+96Uj+arBpmOc6YoW6QmTIf7c7BjhcnLI+ndVKoIRlnHDWGBjN/kdPGeOJNVoOPlBv6An5IRotaUlbxSSt8bwxLjB4z6+E7eNxi6J0pMOn0CEJipaWrKeiN0k0NI0EUs+iOOqQkw/nAEUFIGGb7mTZG9qXhxTNPGWSNVUPy/hlkb2ZeL4YXriRtmiF/LlA6tCAP0C5BkZKjKT/407tJ3a72j+pH61W9b6FPGV961C9f7t7lGtOIN08Us3mpq7Y8l5nMFHxwsnf+9yB4Lef9ySDnvKgbYSSBZLIEotFLQkS/2cTkpBfXa8i8L/nd97oWPONmfmQwcM36Hbrw3FZxA89SeLxAPY50AMAG5ZxGj5f6scLAEQaQgkBEdeHXqK+nS9U76TUC5ChYECVie2BzskJDQclq+sKNq2AW4vDIlrjlagE9HI3sM3KmGi1ql9PYZAbSqTj84PBcMHfLxihs2Uh+eboju9kjk4gn5t87GdmtPPyHj01Lnv0f/SZHdDztyL5zffPqvcogow2cKmMFSiI3nctrlB30GnHrxlpIp/RvYHXZImi92/xc2lzQvSTXg7qRiLBrhBWDY9bqa/oQsh6t3Yx6ORoQn309I/l+SXA7dOc4bHfw7az008hFOjoxDesf7bQ83g1r0vCnhUMXMVQS0XNU6/0NU2tJGoHe/hU1ccvPmcF0roWNOdE3Fzd5/JXT8/nBZrCKP1I9WuocVy1KYPWCaJ6R9eyDK+BLN7FL8mGeOqlgFKoDWQosGwFuLPxRg42JacYb1qFsBcc6go1ZU2cc2a1I10L94kZ46p5a1xoBrJT9/06chGTC2HbPZAFe/AXdTIAUxw1RBrq+C2chN2Ou4NhB4Ao7N3DUEO1oPTI+CoNj5qMaLhO84x/GmDeFqiE4WhtNOWZnZyw7gTNDM7ZXC1hB1RCz0VpRaJKoLsvGUDUEBzMtmOZEs/AAG4OZFE6hjvSqJ4NW3SrJnd90ZRxiceP7ahXG9ixkbdUYpw3xzEHnViaEgqeeRmxMWdKduJDnLtMjTwsL1rhbYbRwW40vvt+2bSlovc86FT6VmNONFMHsxtf8FHVBALWyr14egUdvtye1QCTaKCu1rm+KwldupnMjFE3GUNHER3hDAkZPUeRuWQVDj3h4LU7YCGaPlpwb9W7AG/GgICQw9kmWfBbEx0y7LJBI2fFL8hfbXLsya0ZkCSzSW1hsKx1Qi1kANehLboMM9VAiL1TluICuphit11ae/uOd3YfUi21NeAzDrMc7uzG34pjR8Tj56NUI9XTwiMdiPStq6/YXoVzaBSFhmbqrh55QdJ9qtwjSym6PuMVKWIYDvZXGNNQtg6pK41ycU71nYFQ0dvGyyJgqAqRyudpm6Dox5CJyuljlpCqsbKiV3qFgUEBanGZ/FQlDSlk6dXMwGZi4CAupQLRkL+bg/a5TRJ8NYXem8LwgJCRlwCmxoVaosVPOREsi7nixRBj4JtbJBjt2SjZLlnvGccT9ophdiXUpscjPG1ZVt7D0EnZDNPT2n7X8FuazLqtZEnqRYuqvLeMRSSVLoOnyBuIzmNUJCvH4YYpRZ29YuncyMzV/o6sqy6Ghbmne/1GbTp7q0y1qFmSUkkPXrV0KtYvnmk+7KMEpesYjzpsrvLoAvwu22Unn//LNMdjU5F65GAU9TUG/1v2un1lGSFvXnGINaR65lh//Jie9FOyuhiHFzKLfrxYOWt9ohSv09J02NQCxHFtVxSWFw6p/F4YvDVO44oZ2sQotvzsxDvc+c9Ly22YLX8ygrXWnhTieohflMiutGKRBHPP6f/pb8iKltEIBRoJxpHtYyl2v0npQprZm9QKDjCOh1C5dFsimeVH30E18839o01VxqcTBJ+gHfdrBO4h4KhS9fYQUsB6eIqiXvlEK164muzSzuqw0YCL34WM5aXmuX3gqFCOBaFHX9jPKm9775gDsfdPafUPCS99ohM9udDc/2w6eCgWzhVsP2itgomhPy6disOehUmaDN+76cXh3k+PjuIGjKTEtZt0YCaMTA3Bxmk4wJNVonXRfvk+JaVFvHUezzKm89NKsj6SuMetluW7je/RJEc7mJ0UYy9hXRmV5Ma4NxWWVCvWL4/DOd69kfLXeEJiQIC63eeXX5+HV/4nCWMa+0y+TTc0LqP07gqSNhUoghKI3eDfULIGJqVKq4ynjFS4QO2Kx/2QQ8VUoZlvF9Z4/J/3EYgG4zp4G7A6VMevxrUnYttlbBygtvgjFjhskN5OVBvNFiyJQXUYe8dSy51BGekEBdG+eCoXWJ/XFG6tgz/ZLiXu0kwIFpXtz6tpxi0Dn/hitXVfGCbPtCkhQu3b2bC+FlnXBuB2eG49WvqqfPHE53LDW3tOLG0za9RSY8U9/V+qr8eiLRa+gdGfKzjtOwWJV2g10aLAqqGBGwQvFTZwURPFbKEWzulmLskeJW8Us3KRohaKAkwKremOsIKmDQULRdl9GHDiSnbdXjLDbfaEwWu8mK05CQuiEomA2KbASCkl9XSeEVigKerGdG66KQzR2SSg0VW6cEHqhqPl91zT8vmsGNjVFPElPNYILJYAU/eyrADliRyh3hf1ueQFW9iEWiiAkDhltisRhhpRIYLtgjihmsUbTW1wObFEv27Y9pmC1BPkAzred54BSYkp9JxyVloI5zcGFrLv57bWNbrUJYCEUNfL2oFjazXhbgfDyqiAkHiBpvdMibId0Fq3uX9+8uhirEnkGdfzzeGd3q0HNL9xElwvFAU6Mx61G/zje2R3ozYGDjhOhbDD5HxeKAwy7L80+lFXrm1frzhQMwAGtVXM8/Ns++dcH+bhjjFEZkA4dTVDqQWK39TrBsTEd/hoUpsHxuGAM0Ks4oXcD3YILRoe87kvuYrwSCLIPSyl5eD6v6JALe9rp8ufRjil+3KCi9QZgKUKZ+ap3JPhaMKcsnYYl1Yu9OFVQOCIX3TfFaKAnNvNrqiuhojwtlZwaG580rbCqJuTVVu+SQyG6GAnF1MkYjUbg6rXGaaYkhTx5ATZjrTEyHg3HFiy8ZiYQkAt5YmVWFJ4RuVzoa1JuFsVsh94/jO6abr0vrLiqrYRnhpnw+gY+IT5OEbNBFLMLqnnPd1+yv6rFrNuiqUs8PTMD772vX2MrFotBWWlaqkuZLEmGUioyeaXWY6TGInZbNEQj5l3Y8OgIDMsJ8jgTK/OhUl4AwPB6XjiYyFi0021pwRkaCeI4+512CwV1N+ZJ3hdOmTmWbPZUKBwyRDE7X+veddCw5BDxnC2hDA3TVx06f4FnI9khImflWe7m2Ns/QH0SkmreWCQ0qDUpvcbW9k9XrKyHdKm9LTtO9vRJPjE9uKtFl1sWdF/rm1d3GGU/fniqTzIGScEuz0ggfpZSDziGCd6Gvn+0zjMEA3f/J+dNuzyscR80+gZnpZffGCVO7DW7rg9O9krORtwsrVzIt0HODw5LArFiaGQkr+y6nyhVMCrSJbB5w1xyp5N9152iN6agQL7pxcm19fP94FfHRmHHi/klD++8cc38e6/XO+KexnlCkbee/cjLK/BzsH/tnSHYte/0gr+rhaLg9opgFW1a/SRKQC4G7G5KMDg2C4++MiUJ51tbE8zWzOvh6za1foWErWob62mKFtYFDVS06U2JDYuZ4J4odsB4idF3/BLITd96n0mx6ckswLd+NCVpD2oRS4i2qdVa2xgH6T3Tb3oZ2rFCvdeKXwIxq1mphkRTtDCcrS3UFAVZY9ow80Lr/kANMKM0tdDqRyGh1uDLD4FgbTESgdDyhy52xza9u/IekOqkMiJSBqFdv+wSr/ZT6Tozw2S3O+oj6GkDyf+8BPdU8XKDm+5P2GxSTS0Uo8xGHC+sujcvOH0+6/kmN/XVbAxh6ruHNz+oXl7WG92Qwmp6XHThYLTS/RAIS3zrZ/oHZ6D1wCTUVkegbRubMciulR5UfBFKXh3hD6fh53+8CAd2pWFtPX2Nra+90AO/7qCvsBokPO++dh+Y1C3sjKUDn32dztJGtwkrgeC+K37jqVCwDDpqhREH385KdeztgFY6qw02d965NBAb4XjWff3rf00R1aVXttcg2bmBpQ1CsleXV3imKS/90l7uFxbbxHK1RrASiJCKShsdBEUg4KVQcEtAu2D94Dv+YWF+MSuBbP9MDfzpB81MjsUSz4SCezTSlDg/MzQjdWdYqpal2+R//3ktPHUv3Q5GbuPplBhLnNNuSIPdWWnJBMEnzcHuKojaocbzKTEKhrbuPG6cVltFX0oMdywKukDALzcLbrl0x3V09kA2N7e3I+7RZYdf7G7K20IqyPjmZkHXSl11xPasTAE3TZueGYbhcevkcaNtpIKKrw7Jr3+uRNrkmZZopBIuW2Lsqb7tmvKCEwgEYaO0z18fhzX1Eeptm8Yzi6TubHCsF2ZnLwWZsLtqbijMxa2BcN2jIxIteCdgd1aRnlssi9pRqAKBIMVT0KWCT7sTYpEq+CuLwguFQGCEgkYhdj9OBaPeu7FQ8V0oWisdBUOyx7wVKJij3YVZasRXoWAs3Si5gYVgdrw4AY//m3MvgNf4JhRcgmAVS0fBlDiMObX/OVdw3ZkvQsHkBu2aECP6B3ugLOk8+xAFg5ujFQKeCwWTG/TWhJjRc+40pJP2sjT1QFsIw9FBx1OhYCydNtvkgb8GR9a/Aoaj7YacvcYzi37vmwPUsXR1qNaJ9a+ghJx/9vdlkv8taHh2RXvfPGv7O5hZog3VovWP6Ugs+Pw/jlFn0LiJZ0JB56Adnrqn1jCzhIVbRoEmg8ZtPBPKyw+TB6ewu9p+W43pZ9Atgxs1s0DpzjBrMwh42qFiV4ThWCNoMktYCQbk7gxTofzG81EOw7FX6XhwnWSWsNx3njboxhJfph6HdzdJQlDA2IfTzBKM/ddWFcciAqI9uQpp32BMjSXJxDTjpnUlVN97ZEucxfI644WohYqTpIygUJQ1JDEpg4X17xdFW9gTY/97tpd6es5J5+45iaKuttqyLsbM+ieBVeWJoi+By9L6t6LlajaZ+6GoS8zS+jeivpqNnQRhKxbtlmC2bIxK5aZY4X8VAo9BwdBm/mtBYWzZyP4Whk4o4HBJBvLlm2Owqcm9lV+hFArIgrFr/X/11jisb3S/xw+tUEC2/jFmb7ZiGdi5T4gJtVBAtv5xdobBLuSWa0ogKyuP18JQKDqHpBP+8/c5mMgCfHFTzNXCnRYsqLYaav52UzBuB9/UJni0kwrFcisPDjM6SIXCtyf3CNyZm2ighxAN9n4jCAmb6545bvMq2Bzo27hI3EUQEtJeA8TdF/AuzG1GBCEh7VJqt/vi2uISikDArlAEIdFaIG0sNJ5XX6+t7kuBd2NMGVFrCTiw6FcFq12Fi1YgQKspMKcteLDCLwLsI2iT6J2d2k5By9PooBxLjpjdO8fGo3xwPisjZ5UgJFrMPk3dfekhb939nFutKWCwKFmLICQ6SJrAVChqRDHbIu+sinsR09cYLEzQq94OAIdIBaHGNaGYIW8afcimsNqUnY84HK/xy0m8l6JH2y0rGIfjOX4pymbK721lfB0cDhFUCTXHO7sr5aC94rRpJ50WHe/sNrWaLCD+rjz6qDfV37++eTVPNOBQYctGkRUEDaINBh9Bq3Xr+ubV7Qbfxwf9LYeiemN982rdkUW+PlSO+02+/yBXGI5diBSFQEH0eBcAhrGwrcseFiVHEEcQO/sSc4XhEGOqKJQKUmhwheFYYmWj7CxyJcEdqfeJYnZfAC6FY48RuROXXjSxETuQjCgdxRycwv30y9LelQjheAJOx1sFIaFrK9NAaqNgvnFR9bqJeAJqly7FESUAV8NxGVzEsBMTr2hPQ+z1YmmvJOJxWLakGsrL0xAleFAzmSk4NzgCQ8Ns9nRYVrMESlOFW5qN44jnBSGx0+4B7LqH0S37Os1VlgtpaKhfRqQYVgwNi9A/cA6mp+1XdE6WlEDt0mWOr4FT8LwrJ+ARjTJ2RhR0835k9+5UVZZDQ91SV24qjjQf9vTZVphyQYDFlVWuXBOn4CBSGFIbZasciSeOU0SjEWi6/DJIxN2vptHbf9b2tAwNeFQWbqNwZEynZJKiyKNFOyvvFirJlU0rmUyzSOn/5DycH6S21fJA5akqr5BGHk6oQJfzSr3RJXK8s7tVnlIxcwE31LGxRexQt7wGUkm6nQK0zMzMwIXhIThzdsDTNnB8B2dMQ6KYXZClzvxpxocVDXc/qKlesLCWw6HhmLzIzT1FwWmXXyQSvNgihxlviWJ2pXIwbslyOMYcUv7DXFHGxidhesafHSsHh4O9KzOn4NggilmpCl5EXnD1BssW9PZ5bwSPT0wyi9yD7PlaXMVjLRwpMdg4jqJaiahU7rCz1sPVQKOW7MUcvN91yvb3MI0lnSqFWCwKsWgMYjFu43B02WgnMm87MRJzupquaHDVVTxwblB62QEVoqG2zrVr4hQdd9nN9cJltt+0exfQZXz5ynqmCoP5Xr399qd4OKVCJeEReY4NbG9eQxX6nsxMwXvvn5TeY6xj2dJqKqUZFcelCHz2ovleWWZgMJEriTn735qEE/0RGJ+69DHcYWldYxRu3xiF6rLwlQi1M/XqcGu1Y1k6JT28SmQdkxwzU1OQzeYcKYUZuBYlWZJ05diFSGdvBu75l5MgTi7cSbGpvhKualxob65eHpH2GfVjzziPabNUFCep9UGHp9wDvPbOEOzad9ryc7durIV0yjz3Dbeuxv3E3dwT1ifMFUXOA9tdbK3WsqrhsmBdkAc8/spp+OlvyUvfkyiKFpyi4YhTBIpjaaO4umA/COCoEhZGJ6ah7SdnbCmIEwbHZuHHv8lJL5DtHBxxWq72dVdZKkjXo+y3KCpXcKBNhHYKrp0vdlBB7nnmJPylN0PdUpoRxQpUFhxtUHkC7iCwtlHUkCgMPoDLamryDGX0NI2Nj8PImAi5XM7xVeOiKyGdXnCOc4MXYGJy0vS7YVIQMwPdLm4oihZUnC0bY5LiBAx7iqJgoDDPr2q4zDLGgg/ywPlzVLcBH+765cstP5e9mIWB8+fzlDJMCkJqoNvBC0VR89Vb47C+MTDeNDpFMYJkK0Hs+Xv66IRYWV4BVRW2MmlCxd43B2Dvm2ddabLXioK03p0IypTMdsDRMdizowGNcRK7sFrBWGzY9WAVCsd7ZgIzDfMlCxBtCxpF4QHCS7Aw0IPOZID2OvZFUXD6hK9RUSRau5IuTYXCtiCBpYEedDDyHxR8zSvnVU7IQQMdYyBhUJAgwhdgBBw3PFgc+4ROUX72h4vQelA/1nLHdXHYdVcShJT/npZiNdALldAoyoEjWdhzyNzw/fkfL0qvsuQiaNuWgpZ13t6eMBjohUrRK8ruA5PSw2+HscwsPP7KhPSNa6+Iwp6HSl0dZdBA/9oLp6DvgjtLCpywaW0aXv5GI7xzYhYOHwuvfVSUiiJOzsKOFybgg37ngj364TS0fHuuusuOvymBr3+OXSzndyfG4Wsv9ATOQBdSUXj54Ua4Ya26kKHz1KNCpigV5b5nxuHMEPuSSS/9ckp61VZFYM9DKVhbTxcMC6qBvv0zNfDUvbUBuJLgUZSK4oaSaI+/7dlx6X3Lp2LQui1FNDULooF+VUNSmlqtqOFxKjOKUlEO7ErPP8hu0/7n3PzU7PGtSdi2Of+BC6KBjlOrPdtXwGc3lgfgagqDolQUnBIdfa4cTvRNS7YKGudegF41fOHU7MHPROB7b3wcKAOdT63oKWqvFyrMkacFSWFaD2SYGPck4NTsO/+B0786aFwyDR+f74fZWX/KzOLUas/2Bmhu4HlyTghFHAUV5uATaabeMFLGMrh6r0H6dCwqwsCwvWJ9NODUave9tfClm3hJWFaEKjKPBjcqDFDGV5ySmxZgsSAA7k5xbuQM5GayTI//xRurJAUpLy26Kii+E9pcL4y848sspcUtsjmAivScrZBOZqH3/AD11Kx+cRxefngln1q5TOiTIj9/fVx6eW34K4xnEvNTs9zMEIyMk1Xkf+qeWth+W437F8iRCL2iKPhl+KuJRapgsVAFFaUz8PG5gQVTs9uuKZfcunxq5T1cUTSoDf+7vzsKZ0e8zyQemYjMT82SiUl47M4EN8x9hler1gEj6Ose+TP85fTHMDjWC2VJ/3KxMtkUPP1aFDY/KcLR7nDnW/kJH1FkMIKOCvLrjnwbAY3snnNzeVn1i5dKD64foO2040XvMpo5+YReUeykmPRdmCsFVJEul+wJv3Azo5mjT2gVxUmRhjnP1ChUlJZBOrkYpnzMUmGV0cwxJ3SKwjLFfWRiTHrFIglYUlErxUf8gjajmUNGaBTFzRR3dOOeGeqBRYsicFlNnZS24ifqjObW+1JSnIjjjKJWFCMD3S3Uhv/1TSvgw0/8nwZh1gG+1tRFoXVbkk/NKClKRfFrDYhepi6myDz7esbziL8WDKAqU7MgVZspFIpSUba0dXm6DsQsncTvFBk9/K42U4gU5R3yQknsppMoKTJ+pPoboa42g1Mz9JrVVfMYtB6eb/vgBej6vb2ti/mZ9KuT0ONHqj8J9306IU3N1Bw+lvO8XNEjW+JB2XHY+/1RvORXx0YlY95pOaCddy6FnXe6t3sw2jAH32a7NoUFODX73kMpuHZ1jCtKMSuKAk2BOaXwm5eZun6sjSHl5nUJmAFvjX+uKD5h5Q0LyhLaIBn+CpuujEMs7u1DyxUlIGClRgTduUFc4xEkwz/sihJqvyAro9wtlDX+qDBoxwTR8A8L3BdYAKDCYLwDa5VhsJDjPVxRCgxFYTCHi+MdXFEKFIz2o8Jg+Vh04xYj3Z/4UzRQD64oBY4S8W//jiBF14uJIG12yhWlSFAMf1QYXI9S6OD+8gHxeEnwbLgiAxUG19NDgFNkzKivXgRf+XRc+hkkQh1HCQssIv5uxVFSibnRo+XqmPQ+oIQ7jhIWgpTqX122SFKMTU3RICvGAriihAg/qmGiYmzZOKcYhQyfeoUYOykypFMv9FShYgTJEGcAn3qFGdJtMGJRgGQyAjkdfSpSxVgAH1E4eWDZ1h/+90WoLJt78MdVy2TQpsApFNoYOKUKEeHOHuZwCGnjAUcOx5ph1oryLr/pnCKkg7WitPOnhFNkjAhCop21ouzlTwmnyJCeaabGPMwZ9PsB4H7+tHCKABxNKsGN7GFBSDwAAD38KeEUAQ8oTXDL69XCnxJOgfOYICQOKU1wRVEEIXEKAFbh0MWfFk4BgkqSZ28zt1HUiGIW53cdANDInxZOgXALerm0l+pqwFEQEsOCkFiJkU3+lHACDsYAq/SUBNweUdTIowtexAb+xHACxl1qe0QPzxRFQRSz18gKU8GfFo7PPCgIif0kl+C5oijIIwxq8WZfLoATVtDB1CIIiQ477fdNUdTIo8x+Pi3juAQqR6vWk2WHQCiKGnmk2Sm/+PSMQ8sRWTmY5B8GTlH0kEecB+RAJh91OGpwtMAp/CErg4X+aOIAAAAJSURBVJwaAPh/KfsMLW9orgwAAAAASUVORK5CYII=",E="data:image/png;base64,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",B="data:image/png;base64,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",p="data:image/png;base64,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",Y="data:image/png;base64,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rJZIf+bY9XwyvubSNCAHRbeZwos6V7LnITeMRmRyQkCoUzGnfOy1fD4JdIgmopI0ugxBal2deIW7rYJFMtRbCIiqiQJt0ZUvG3bMXM1ufGzCvS6V5s4Vo33eUzJQayStHz/fvmMuU/JTJ6kMbFeSRyCkkj7ihcaP2m1gwmWdwKjAtj4SUs7BDcoczdX1Xip7E10143S6m5prO1CYMMsRCGFyqufoRNWjghLglFhfqEkG52liBcxy4UkvnVwqezUJEka2S05aWzBQSkjmSzfUg3PSMO3I7IJDXteRWIsVSJaZ8RLpIZnoNKCzpzxPHgLGGksqESpM+ImVsMzUFWhr0dsNUcVzHeTdKCqu0JaHJQ0PAONr7M+YZqsby4p9eIq3V4Hu5XZrmmUQlINrBTobx2LRdpKXbABB5YQioIlrYqigsESy6E6GtuN9hojsGkxdWYuUQzGe/qGEx+U/YBUrzeXEp2nkDSKu2Bw2lprt3ehkvp6BrWrJly7ubUaqwiXKoyoqgNpC5I41jt6uoN7yfajTaeHQYpNXtQhpjR8GGxGaEL9J1XYajopYRs+JWzDp4Rt+JSwDZ8StuFTwjZ8SqDhbxTyyVMGDa81ebGFy1lblDEF3AUZbT3A5LhN3DnJrNQnA6uS5rZqbBlS/VxlV/BWwLR1/zTirgnYZsc36jXprNAWYdryBfAmUPoSChSX4416rS1EoaPh6QHHi95SCkF9wI5sq1yXAT3QNn58fIsyhhXZTaUcRU44zpN0hmiBXWvjy3HAq9O9CFdMsEV1hbjdqNeEshpK1QixqieQUzJVMyNVxamMziK//EVVd5xxhOp2e4lbSno6waqUpiFdt9uNkpJzldHZxMtapMhMo147Gffyqut356m4opcrjXpN2aKRtrKiObGC4Ds/rbJYOkN7PVdqCV3OkCrCGvQ5HY3tJvHS0ZXRWejHCYMGZUj1RKNeU55DPwhTKtWfpnW7dasmlIie8vOfJImxVerd0F5CaMX6IG6xKvVhU/a0yUTDJw2t44Gp/xH6wb/Z70xdoZuhP6eZ8KEshqqKy3miUEJPi3WepMJ7rMATb0Ltilv0Mz03WfX1YueNXAk91dAQ6tP0Z7LpdvLFEh01rtNOkZsRI5NCTzU2mwQoqTJjkeIu7QxTWRwhjBd6WizsHBVyG/FmNjO0IxhdvNMooafmyTn6sQKeDxC3e9mkESFVoadmSiql2pOGFS7lJfVFQl7UgjO9NLAiMBpMzE1WhWM0VJOo0BdJkx893E1ef3EwUr51ZDBFqsEMlGlWwVXaCRKbKGsXeqrNp4rgHoQmR1VN1XVjkQIYnSALlaFjggnymO5RQIvQF0XQkRD89ReHEi3W8+W9bXLh3RXyxT29CQQNAC7T0zo6gDKhp6ZLlqJrIgFBf/PlveTZY+kXRkLNttfeXS6CGXSbdgAlJlBsoacuxem82+iwz88YXIgKI8A//XY5d4VYOJyfm6xejnOCyEI/Mj6f5+hhB0xG3/+XYeU2um5QBKcAnqAb1P6XDm6TFvqR8fnC7FVIogC+LjD5hRu0AMD0OSkj/MJCXwTNrgLVZhDclybXiDaIq3OT1TGR2wkV+qLY7Ko4VO0iH7+pLlvKS28vFcVfr4qzYWEQgQlCqSnzuRV4cTCR/FSRkMI7YwVemvdGxufvUG8iF67Q4wsj4/OLBdpnrJQPP2kqOV2cupQFByHlCyPj89zdXh1CT82ZBavdo6PKczL1Oyv0Mfl4ZHx+wnuKNqGnPePzjDyQ0dy8Fa8uatJlPnPMRa/gtyayNHTgK5Of/dnjveSdn+/r+D1s6Kmb64kX4BUFk9u/rJQDg8/wDH9s7Bi7uIQ1C8QV8UIuMuIebU1w3UJ/x/Ttde+/OiwUtYhQXZgYUzc3irBCqRyEWsDtinBoXig0D9S1zwDHEdfvVAscGZ+/nKf9pFhBxUtz+8uvfdIkv/5ozXYCDkzIdUSIGgY0/TFWIvOVPD8pwLDMhmaMBJgkYlguQLgul6BNLTnmmZHx+dOl7/30G2zo+JWu54Q9e+L7PW2Ne/Q73WSfS6NE2WihkiJs2kgjDJoHAuOYonm4vku++MOTEGmESy+v7ep+Dzcg9FpiaUTtb9PAKHDh3WVjJ8UyYPL51stD5AeHM1Hzug28h1MXHugYiZcg9MqzDWPYxCfroOGfu7SYuXnARxf3Z1LQveiKOypvP9pUnjcGwpIHoO2zOPGF1yoP7+ChpmcoHX7pf+/09+5V7rnx86mbDmz7PE1w4ZHBqJs1rwxsf4yyqtnZ2Salb//ky/8Z6q/8lc4HgG2JiRQDk1v3xBZ/O+oZjpOaDxQp/QYcCugASbWte9JKOBNXQk0YN194vqOa5tYKKR388WfTB4cO/7BUMt91pWpybH326n3zGVmcIg/X/kQc9bq2uUQG+/JbMbNgeWSEgDZFm7AYH4y+v3xuIHWXpk42t9fI1qONx0K/sfmQ9PUMku5y+jv8VWA1uTxoK7hq8SE5XaVd2Wg4Px3zBi5LmDcHBg8Rk80cXtYwaHHEr5tqk8OOxv06C3SeuQzjPg00w0gEm9bUNQI8A1Zy4aRgHQH3/sYHK8ava8CsgZYnbqF3/pMBwc8KcX3lGK2Y1rXEAxoeE1hGm3Tv7u6QhdX7zk9LdKDR4y4OwbZ2e7ws0YCGdws84e2cgsA/WLnXGgos8vxI0WTQ5ORSphMkx752DHrI8vo3BW626JxQ5AfPQyhHGkCzQ+D9LJZA4x0unsbyXbK9k/3gq6TAZFvl4g+8JxYxmHnOvDR+CBmeS6tfO+7MfQPfKtwkF54K72pxEKq0PEM2hIClDSmau9Y7WQ2izXsjQlGEH4J+46Jv6hTjcS885RkZYWdISy5MHdhL0P4I3skr8Jdjaf2aohw2SYF4l1OvLeRe4CHsML1lBZ5E0fQdJyiVnRCGvp6hqKfIBCZvyChK0BwU7up6I/YcM7bQu+np6idD/RVSLmd/A0MQsNtRmCHN/aUQdGjzIiSEWm0uOKEyqlAq9G56uwecDpB32x8dAKERSYwARRL0jc1lsra5qGWhVJvQu0EHgAmU9xFAx+ZrxBbBdMl7jSkI98bWMllrqt844iURoXcDwR/oHc79HIBQdyc6gYwZVKRNLVgtXW8uJb76n7jQe8E8YE/fsPMz7/ByzRQpBw+8fdi7EcXjopLUhd4LRoI9Pfuc+H4b7ZltsKIP29y0OC7jjGxog9XmA+fDwIJYf+9eZ25gO4KZQMA3t9dT1+IiZGJmCb/s43iKJzEVEH50gt7uPc5PS3Lvorm16gh5VhcnM+tOwWwfWoWnWTAy9PYMkO6uvkLMFVQDwd7ebjpmCYQ7b+TSh+i8tKb/qh06RVdXL/3ZU6iOgbZ59GiTbO9sOT+LuG8i345zH5xOgWFa4FiYUegcmGB3lbtJiZSdjkJo50lrjoH7x2gHE2Nn9xHZ2d1xhBi/s6HgwRRS6GWAEDna0CZWyA3WFWIpHFboLYXDCr2lcFihtxQOK/SWwgGhn7av3VIg7kLob9k3bikQ007x5MroLCL3h+2btxSAU8ymn7Bv21IAbjTqtWlH6Bv1GiqGz9i3bsk5Y8TjvTmNZGb2rVtyyqlGveZswG0JPf3FESv4lhxyFmYNeyxnIuumMjqLXHZ37MTWkhNOuQWe8ISeURmdNWrvrMUiCSyWI8ykceMr9OSx4MPOv2Zb25IxrjbqtTG/Ww4UekZldBYLWMrL6VssioF2P9ao1+4EnVZI6MljwT9GQxasrW8xEUxWp0TuS1joGVb4LYYhLOwMaaFnUOG/Tgh5ykqBJQWkhZ0RWegZ1MWJFd0z9s1bNHMbi6hhNnsYsYXeTWV09iTV/tb0sajkPA2VUYJSoXdTGZ0doyOA7QCWKFxBICTPzx4XbULvhvr7L1v73xIA3I2XG/Wa9ojfRITeTWV09ggNZbZzAMsM1eaJ7t5LXOi90HnAhA15KAR3qZBH8rqoInWh90JHgnM09tnOB7LNDWqyGLUP2zih50HXBM7RmH/bEcwEAn49bS0uQiaEngddHzhNP8+bd4e5Bb7yKSrgsfzlaZFZoQ+CjgzoDCftXCESt2moyXSjXruewfsPJJdCHwbtFO5PkTrGbbpJCEJ9yzR7OwkKKfQy0Im1+7OfdhaScmeB8C5SAb5D/40Q8MVGvWZzGflBCPl/+N1JeInRCKsAAAAASUVORK5CYII=",V="data:image/png;base64,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",R="data:image/png;base64,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",I="data:image/png;base64,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",v="data:image/png;base64,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",U="data:image/png;base64,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",W="data:image/png;base64,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",K="data:image/png;base64,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",N="data:image/png;base64,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",Q="data:image/png;base64,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",O="data:image/png;base64,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",M="data:image/png;base64,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",G="data:image/png;base64,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",x="data:image/png;base64,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",Z="data:image/png;base64,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",X="data:image/png;base64,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",r="data:image/png;base64,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",h="data:image/png;base64,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",n="data:image/png;base64,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",u="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMwAAAC+CAYAAAEOz9CuAAAACXBIWXMAAC4jAAAuIwF4pT92AAAgAElEQVR4nO2da3Ac1ZWA7zykkfwYyUY2GDSMGeJxLONFbNhgb0IwlSI4JCnswgJ2U7sYmEpR2R/YBFN5gWUIWYIJjx/ZSnbl2KyBYEQKO+FhJ9nCIhssHlnbYMtEyGNNRrZlayzNjCzJkuaxddrdSk+rH7dv3+6+M91f1fgh9fTt26dPn3vPPfccVCwWsT83Pzy0Xs/x4o8H/tDi7ueGpx207f7ZHs0vilBtSK4BMX1n8gt//3h9grghrQak4PSupKE1j2d66md5r9TTCG6DUw3p7YUS58aK6fbvBudIf+2l2Qgwq9ZT3/gvPWHpz/3wx58+Huf+84VlAUONvPfJKXR6cBj+2Qt3S/w7bzSWWin8Bxo8mcoTNfKbd7uFRmTxS394/FSO++D2DhrAYVpD4t4hlduJ24CAYkNKDaYyo+jdI326GkE4DYkbPDus/BLw5EZQ7YfruH+PLm8nb0iOGZ0t3E/Hm1pRoKt16gj4eSiMOJVJJuLc0+c10pCAuBEpoXCkaLgh6IlAMhGf+ogx3CPvSO9UT2ROPvXvUDjSyx3f3dawj6Shmo83qv5+aVOT8M8w3D4qMpLjSFdXyU+5hrrbGnRZS0D8CIfCEcXjQEbwmXq8hcaisRTRm1ytMST3MECDJD1UuQD1x5tv7G61kwiPLv/3IfHPJb/DGwUJt1N4BZ3d+TnZHgtXL5y8BNxx2ddah14zbUxn6niu5YnsENh9tS/jNmZ4LJcvoOJ/b5itquwljRgZ/WiO4WgOreQa86787hC1BpDC3fDCEEqw/UaBQYncwGTqXWZkkKg14pk2HtDTWM+JIdSVGNA8TnW8dlWkCtXNlH869YzXVEc2h+OT3N/iXukdDGo2IiDcQrVxmjCUKgTBJL+uvxGtE4vxZrvgjQyTgLcR/1Ymtv1yDYh4u6Rh0kakQ1eFsdkhQ43UdG0qaUDaIM/VcOuIZKJxq6S87aU5gFCCaCwG8pCbTgiIh0vTxmHRWKoZIXRA75UKJw0GgyibzU77vaxlVBrwiZURVy6KeoIz2BOPr6TDIMNjrypfoL//pasWSI8Rxl0IoRuTiXjJLAKrERy+uin975fM9X1X7lC9QyhSDHWGZAySyhQ6fvtI3UqMQ3WjqzM3/TD9xcZ5vj/SvACaUiMaeZvF6aH81jdb62PUOnPTD9Lhxvm+Xqs6oAbxdMVKCZCA7XkWXonLmwLI52OrE+LhpdI0WcAvdtF2dv1tXuH3IXRdkzHfMAmTuQJ66/0eou8qDpVyeVQyaTLq9Fbj9c4eVCgUDJ9Hl2NWIFDtQdcurjbUMMnsRAuiQez4RFG31Pa8H0cTuRy1C5fD0CxJQNwxmITCZBQZuPvSkeX5ZVtQYeZCze9R98RmRgpc53A6AhctvfDqYz+bdpzUvQyDTdGAcwrPonsHVkqngjTAmVDTguo6hl7Uplp6Ec89qOgMxQtT/b2WC97Szqg9XlodEY6RdkisO8RrPnaxYvlyxZbFLoZrzL4+0JXcJbcYOsf+zk65H+9GCF2hOJ8hXVoSUHubAb7sEdkFUKXHTUFfOpKJ+NTYEtfRAI/iDZoHirDj1UzkA8CRmpZkZDrUgXHDph0jfjUb9s5EY6k0jGKkP5frTG118Pq+HYv+V+18oXAExi3HJT8ueZyUoOZqEijxfflrj/W/2PQZqg2oQL0zqx5Jr6/ye1ab5U5Sg1pnlHwI6XOFY6/9oM4S6RjuzDefyk5WV3k0RxJ6Yu9IIe4MPE4LLvI9o/d7ZrpqiTpj1C2Fs9BNgq7O0Pat0fY7Y3Xmth9nTgVnei+h1agUWo+eamfMcJSrYbRTip2xy107MVnMvfhgsIrku9M6w4rPuX8w/8Rbm+u/p+c7U535+ub0a/PqfavNujhS9Dx6XGfufDI7Whvw1LLWEQHcDnHvepY7AkTu6cJ69P3iuYmZznESRscn0R/+LJ0NKFNihcETmTxDFnVOG/CIijuy4JtHNR0v0waIfz2d4z52SUnJrVso5q7W+i5x9DxtjvSm0LGTg4bOihWhb/YqGq21GiyPprCKtiRcheYG6Q12aS846XLPHk1Mj88j4Y3OHpSnsOwnhcjXTKpPif4sOhTvJ2kSC0OOc+iUeKVMDTPWMKUYXgUQVsqaF1WjmTXTRx1WdEKA2pLGwU8nuL+FR2/fwSTKjo7pPo+c6xZ3cYr6+ozW3iczsWUZUACkAKsBeuEXaNdJvwYLtNQnYziSkT5OE1f+m+xKs0Bh3g0T3oGO/RLH+d3JRHy78B9bOkN5SWNNMhHfhex+zCiRFk5jS2eMLgWKEUfQ2tKZiYXy27sgIlocEi98br75K7LHS+OPmXnMWlrWoiMfH5T9Xdt//hzt3fOG5jksfwFU9b2CqvqmG0GcOACFRdrNyUScW+m1rDNqb7D2nb9Cy5dfh3VutSgNJh4z3I5oAZ25wswLtRIIN7E9hrnvxAkq55lyzxqNyBCj9AKAcVhV73bkHZ1+/3BeAEuXNctuZhGGNSWO82gsJbcGrxuSsdnTP92CWtbepvodqfKr2hl45PigoA6jHdLLA9/ZiGLfuk/2W52d72nGmiGtxSbSR480CEgMhGIpRDCJOZRMxJuF/+vacYSLxaPmOclEnBtsYtkZ/tG7kUbLkGWDMlMi1r10Ho2l4FU0LcGMGC3JQIoKmewROFFNUp5PJuJTM07ioAa1R091bMYHB4XCEWHP4e5kIj61YicXryx+a4m2yZZ0xFBnBOQ6pdQZrS0jCKMzahgem/H6tEHtGOgETkeMQjVEKxpLrUcIPaOV46IsOkOTbzya2ddQ51V9IWRHCv2//n7dtI2plQAzgqGxCfHU2fyGPY/WP0vvquzDVsHgaAUpY+PFsZcfCs6wpCMmYKlgQCsWNPiO+7zI0vc1KkNtMl0wZmoFKUopH1nCFMH86zPDBTu0gpS+gfz1v/9Rver2BKuhIphbWtNtF8/x3ctSx0hhZaRHLBjc4P9yxy5twhYM6QaGSoKZbTOsRwbbjZlbgaYJxhUGGbS3Nk0JRi31lQseNIfhQhYg8J5zyfzUskm6yCOON/V4vMXUy9cYvoEl6ZmkQJglhFu6TEctdU5NdfDOEzsW7TQkGD3JWZRiYp3AidQ59Ofuk1g99fuq06dfWmbolaZrHiLE9yJJ3qJK5Q9/7kWj4xO29I54gihElgtc+9lqFKgqb20iLXBhBtRm7h9+8rcna/4cH1rUWB5OAdKofrMx5e6dGcpzHwGWcj7q3RxpF5Y81uL8lZc2+NAVC6zVpnePnECpDPUAHVOx/H0DBQzEdaDM0CYjSURZwXZDINamyy/2o9B8Mikd6DmDkmfSGEeWB0xZaGE7OMJI2WulVtR8tFE2UFkMzVyTiDXBiJGmH4ZR3kBmyPAWdBK0hAL4T72Bcgu+Rq9Nul0wj0/7ctSFAnt2tPANvo91rurEds1jQuFIK59BT5OKX4GUQxwLLmymgmI455s2lxztGR9Age4t2OeF7aSwrVRMKByBAODXRD/axEf8l2wllWJaImMzMLozmnaWTkrICsgR/n14ZTEqFGCbXPS5IwQz2Xg7l9idUXbLbQFwjI2BbPswpK394C7kyY/q+m5jYyPa2vYL1LRkiezvH3jwIdTe/qrua1Lbk+G4pcpJhT3tUmBruLCvff+f3lEUCvD0U09OHYuzZZwno/ZLRwkG9n+pJeJAoqQDcLNJAAHC9x/YcL/Wt+tC4cgupV9W5KsMZ6YuBwhFKYGCXjasv597BcJmWRVulTP8SGvNnzVwh8ukIzCcveB6wdmlLIfwKlN937mQo1YMQ1Mw3W0NqoWiXcjB2BavLBhkYRUTlln11a9TvTojeT/UqrHIlr+wE6MuGaVEQ2KWNjWhPW+9rnoMDpAFo+WOf9I6MpNMxGXfVrgJJbit1Yav1iA0sgjiCAfpTKYkBdfgq00wSavk2KJNNAQDZb2h4rkeWjc9jO69R3li2nX0KLp5lf61GOqCESOOezYbJ3mXaWeTgPflELUTSiAVjH9gn+aM326k2mPqruVoLAXbtzV9E7gY0RiFdDwsMC0rDrJynz8NbTL6Kqupnr3B+86qfXx6oWlIn1pYCtb5mp42yuL9YbfKHCsrEAHbMmNEYyl4r96l5zt6BeP1+HIDLzfLRr6L8j9dk0zEFR1koXAEe0SqlVopFI6AA29XMhFfr3UuJnLJ4KYXxBFMoGrW1pMvLCautC+HkqNRwlTyVBowmX1JqSKnnGBo7eBSA0cwuInIcGE2LZYYobTjZK64K19AH7KWxcIMmBQMJAOaP8fbo5XgoZLSYElhTjAkGTesKL1pNcwI5tbHMgfmBr3NGIfKYqRCIIvYLhjaqVAGs4WDux+uK/vlC9sEQyPVohrlbn9sEUzLE9mhWbUeS1ZNy9X+WCoYu7L9lWN+TEsEc/PD6TsubfC9bHpDGtCuXm0mpguGxTSMJ1P5O/c+Vm8opYjZmCYYK+0ICWYVtKcFdcGwWl9bCVYzylITjNU19GkzkM7ven1T/RpWroeKYMotna8arKT6NSSYNY9neupnea+kekUMwIL9IRKMU9I0Wpk1VoouwZjtRmGV00P5rW+21lNdFdUCWzBOSYCthpXuHU3BGHXHVxpWLS8oCsbNTK6O2csLsoKppOGv2Zg1vC4RjFONu1HMGByUjNVdoZABJVpgCkHznFOCufu54bLYIMsqtOd1nGBgK0U+r32wizKQBLXhzgMFWrdImJdsghSIgWoPunaxmzJeL2909qB8gZMJtQETpMVqlka/G8lN6STkstNW+QL9/S9dZbiUFmjMtEgSITelWxlDHnH1CymT+fFLaLThV6ujfTg+ySUNvXYxOwmt7cTKBKmavi9IGgr2xwlFFtRQK0tiBthOSaHIgtPsj135nHV7iwX7UwnVL9SwuzIGsRsfql9oJa0uR1hJP29ofUVIWn1R0Is+Gy5/+8NSyRIqC19nsxfsD2QTh9ox5caR3pQtGdDVoLoiCdnE4VMu9iczMo46DrEZb27KUjHYH9bdO6939qBCgZprizqmreGPTxS51xtrZbE6DiVRZoS90ldSTL9jQlksu907am4UFrHsUQb3DrKhXlm51CSTYvk7Btw7VlWktdqNQhNbXv4j54umunfe++QUOj04TP28VmKrVaa9vKCn7C7rMDFcEpYXSN07lVDFTwoz41jBvaN3eaGc7YgazMUiC8sLUMQUipkqYZUbxZMbQbUfKuZ745hsbOFq1NCE2XXj46dynIDGJ0ujqsAd/5t3uy3zbfn7tcuO4KQL1t0u9TNSRlhe+PtoFdr7YdxyN4ove8TS9gTKItKCsz+Hh23xbenN0UytXVtaZQBI+Qsfq4D6l3zyUywcKRjIwSx8oGYZDdReeaFw5Fk+5+cmzPyazhMMCEOsKVBIDjKYw+hLih6hBbrklSEUjqSluadxhAORmGURTD6ZP4+yo6cNnUMqFCm5S25B+bmf546DqrEGgHwBkBVkm9opVHP7O0UwWkKxCyXhOOJVxqpQkMprzRGCYVUoajhCMLl5ZZGirARHCAZKuRd9bCb4c7SNAcb+4XkGrmIaitvRHTWPGbvmP4i+B+V5hVrK0s/W//oF6eXsVqvC4ah5DNJZDkurNpkYKK244h+vxz63VpEGR+eGUUNved/Gyy7jvrN0WTPKZrOG23dcdXIcjNRchiLaUExbi1A4olpt21GCCXRpV7Xa/67x7JGYFc6vVvtlxQsGvL5QlJRzVOZHVY+FMu/wSqIBFDjVAmb9UMMsFI6sg2UB8eEVZ/xx1uiVoF02nrRkPJTVqjiNwVmjt4qWlrWkLW1yN/HzkNbdVwPmP6SAYJ6jfkVlyIoVZAWv1TBir7zdbQ2aNRmdgBkaYwT3Vcazv7OTiesQEARzhf2XYi9Huo5Sb394mHzHASeY7rYGmBIfonlR5cbevb+jfsVtW39J/N2SnJjRWAoiOuooXRdVsOcx4wOo9sC3iZpmaB7TUWJjutsaILKjrOtJFgPz0OjydnR+2RYu2LsQbML+7gMPPkTtOnS+xjpgUokQuhG8zslEfKVset9oLAX1X16jdpUUoOH2x3H509IaTG1RrIwuOyrrbmvY1d3WAOsFu41eIEvAErMWBl4/U8S+dR/OYRm1hTLV4XJ3W8NqXkAZ0otkCdygDFhTIQVeh5gDCdVGsOYxvO1xzJAaFrpAc/QOd1d84Uuovf1VrGOTibjq4hD2BBOG1Lz2bMb9TrnTdNXV3M3WEhBoCQiyrw8/vxm4+tV+T1xxKRpL7VPLp0kbq4y/FrBmE2pspOUpmJNMxGXTBxoqhRWNpeAV12vF3MeoYGo+2oi8o+xlyDclrqy7rSHN258bjZzHbHyD7zMpFHThlSZ7YVScmN1tDftYtj+B7i0MXIUiYblfUPUud7c1tPICYsp7wGp4rBqmuP272xogsICZaqwQHuvGLvPw9sfD766yHUzhJHi/lVE6cM6juqPMqnr+0VhqO0KIeCeq0VGZ1+PLDbzcXMXviZQbRd6dTMS3C/8JhSMwqBnS2cyaZCK+C+ccWiGylglGIBpL9SoZPDWMCKa2um5h347PTNk9GeEozidwdxkjhDYkE/FpBSzk2tMSCrJDMOiCcBby26uxIRFMTdXsJ068EP2e3O8g0A4htDCZiKv6rHAFo3Wz+T3+65OJOFYpfVsEIxCNpdZp7ewV0COYKn/tsf4Xm6iU4qUlGL3YKhiBaCwFT++tasfgCEawIzSvjZ8Aar56aQuGiSgZGssLtdXB62kLhWcX1lGUYSp8iWR5IVA1a+vZnZ/z9O1YZFYNflmDLoHGELsEJl5lcvADhF3CdgXxq8zj8RYD/pk/UTLslQCzgmEdKEha7fesqg14FtcGPLVal5svoOLIWOH02ETxjclJ9JhVVc5d6OIqDCbfeDSzb85s75do1wY/N1ZMZ0cK9+19rH6nmdfvQgdXYRS46YfpL9bP8v52Vq0Ha55OA7BCQ8OFd377SF35ZVhxCK7CiPj65vRrc4O+W2lbEVLA+qTPFb7x+x/VmzVBc9GJoxUGrEhwhqc9ONNLpTaymYD1Gczmd7++qZ6JRUen4jiFuaU13dZQ57uHFStCSnak0J8dLba41sdaKl5hwIrMqvVsr5/lvZKByzEFsD6pTP6Xb7bWxyqwe0xRkQoDLt+5s70PVld5HJmILX2ucOzcWHGda33oUxEKc9MP0uFZMzz/U8lWhJSJyWJu6Fzhedf60KFsFWbVI+n1FwW9W5xqRUjhrM9o8cvuwikZZaMwYEVm1Hh2zQ16yTcSu5QA1mdwuPDUW5vrKzaUhTZMKwxYkfpZ3h/jhJ64GGcwWzg4er642rU+yjClMGBFagKe5xvqvJZtTXeRB6zP2Wxh455H63GiTx2D7QoDVmT2DO8mK0NQXPSTyhQ6zo8X73K69bFcYQQrYkYgo4s1jI0Xx9LnCt93ovWxRGFufjh9R3Cm9+euFak8hIBRp1gf0xTGrHB4F7ap9O0K1BTGjnB4F7apxO0KhhSmUgIZXayhErYr6FKYcgqHd2Gbct2uoKkw4NUKzvR0ukriYhagPAPp/E/KIeJAUWFAUS6q8x51V9ldrOT0UH4ry4Gisgqz5vFMjxv562IXYHFOnc1/icW5TonCgFVZ0OA77k7iXVjg2Mmx37zzk/mqKR6tZkphxBUs/D6EQvP96NIGn/vguFjGZK6AuvsG0bGTg1NNVvtndJx6cQkzbmmxwigmRb0o6EVXXOpHgSrX8LjQJZUZRQd7zqDR8QnF80J605MvLGZiXsMpTDSWglzZm3C+ANbnigV+NH+Oa31c9CNYkeP9aVQoFLC+DyloUy9fw0ReY0FhiAspg+JcfrHPtT4uimRGxtGBT8+g7OgY8U1ixcr4o7FUs5HKe2eG8twHCFR70OXzfa71cUFHelO6rIgWxWL+cyzcVdgPTy32a3yiiD7ty3EfxFufyAI/8rn6U/GMjk+iDz7pR5kRciuiRqGYX8jCPTQ1gYTU+ixq9KO6mUyV2HAxQM+JIfRJ8iw1K1IOWJZxBazP4fjk1P/BZX35fNf6lBNgRcCjlcqMOPYe2Jai6GQqz32AmTUezm3tWh/2SPRn0eHeMyjvICuiBhM5vUbOl1qfyy/2o0sv8rnWxwbAinx8PIVODw47ru84MJkE76+nc9wHAKsTutjnWh8TOZE6hz6On0ETuVzF9pEWzGeNzIwUUCZ+YTgAi6aXNrjWxyiwePh/PaddK0JAWaVZzeWnWx+Y+8AcyEUdCEH58C/9rhUxSFnnJQbrc/DTCzFIbsBoKXKBjC7GqZhE3mB9jp/KcR/EW59FIWcFjOIEMroYo2Iz34P1+fCTv1mfSgwYJQlkdDGGI0pFgPURh+yU83YFsCKHj581FMjoQo4ja6uczRbQ2ewF61MOAaO0AxldyHF8MSK5gFG7tyuYHcjoQo7jFUaKNGAUoq3nBs1fNHViIGM54iqMCmB9jibMCRittEBGT24E+Qb2IU+erD+F4FKUDy6lfl20cRVGB+KAUZLtCpUayOgf2Ieqj/3M4FnauT9Hl7dTuSazcBWGEOl2BbmAUacEMvoG36d3ruwRpi2NqzCUEIfsIM84OpvtL/9OYeIb+oDaubyMK4wbAmwCk7nyLOVOAlgEqucbpKd8ZuBaGIcBcw2YcwgUZixE44sfQsXAPKIb4aWsMN7RXs6BUPTPJPp+KBxZjRDaLknscncyEd9O4/o8i+4dgKyCb9M4mcsFJvPnUXb0NFN3Q6oockw2tqDJxtuxz+kd6UU1H2+kfq2cEje1liiN31edPv3Ssjlyx4fCEUiQsQshdLXGqQ0rjqswJsCSwuAoipSibwaaWPyQ7FwChmDgPoaJvic/as5F84DVy81biXLzbkS+GZdNU5hQOIKdgFICseK4CmMCLCgMiaI4EN2K4076KwxQlBmdLa6y4LEtFI4UQ+HIOtwvuApTIcAQyVUUYkBxenG+7CpMhVAMzHf6LbAEV2EqhMLMhWjs2u2ch8lFN5uTiTjWjXPXYSoIcMOe/7st3PAs0L3F6bcDhwRCqDmZiKdxv+AqTAWSn/t5Loix5qON3EKg1TQ2NqKlS5vQ0qYl3L9DjY0lV3Ckqwtls1m0f/97aH9np10C2JBMxJ/V+yXXrWwCLK3D0IkkVgYU4oEN96OWtbcZPtfw8DBq2/pL1LZ1G6dQJjJHj1UR4yqMCbCkMGasxi9takJtbb9AjZddRvW8Utpf/TVq3fwYbeXpSCbixDUz3Ul/hVOd2Eatgy0ta1EyEUd73nrddGXh2lt7Gzry8UG0/90/cpaMEjfoWXeR4ipMBQNDMW+2y3AHwaJ0HT6Enn7qSVtuFijn/j+9g9p3/orWKWHdpZnki67CVCAwDKv94C4qi5gwPwGLMnv2bNtv1PLl13EWDhSYAgdC4ci+UDiiqwKfO4cxATPmMMKeefB6ecfPIM/4APcxk6d/uoXKZN4Mbr/jn63wsB1CCIFzAN48B5OJ+C7XrVwGmO3pkiN27z3MKgvwys6X0NJlzWZ704TtAjegC9HRGW93W4MbfMQ4nvEzll5gMBhEmx75IfP3pXXTw1Y3WSfMYTqsbtmFXW5vWVsW0rHDAgoKo3vF06VyaWpaUjZ9W7F8uaXtcQrT3dYA2zufs7RlF2apCwZd4Sgw5VbubmtYjxB6nrULdLEeiPUqF6y+1pJ1mO62BlgB3ew+o87mlfZfl0X/OzvfM9tLNo1pC5fdbQ2QWACSDWQsvRIXRYo+spRDpPT19XFxXKwDcWZW4ykWlZPORWOpZn7Rpo75u8cQZixcwh6X6sR20xcrxezd8wZqWsKmA+CBBx9C7e2vWtnkboTQOlWFEYjGUvV8crRbrbq6csbOaGVQqKq+V6jt7Yf4LQhJYQmKygKjqFY9+2KwFEYMrzzrCfNBOQJWwvsDf3mSSt5jiCfbsP5+KtdkBNgv85VVX+OGjBQgyk2mW2GkRGOplfw6jlbWQcfA0n4YCMKkkXAPVv/bX/mVbUM0ykOw55OJOFGIv2GFEcNbH3Aa2P86shGWFAaGaLUHvk31nFYFZYJF2fCdjWjv3t/RPK2hDWRUFUYKb33A7IVNa4RBWFIYSO0a6Go15dxgdWC4du89d1M7Z9+JE+jpZ54zc0KfSSbiukL6xZiqMGJ46wNDt7ssadBGWFEYmPxX9Vlb0QtCVVasuI77GxJhKO2jAcXoOtKF9ne+h/bs/R2teQkuMNlfmUzED+r9omUKIyUaS63mFajirI/dCgN7Z2oOfNv0ZOEVgO65jG0KIyYaSy3k5z4VYX3sVJjq3m3I3/+mLW2XKbqsDRMKIyUaS63jrU9ZLpjaoTCuVTEMlrVhUmHE8Nbn2XJaNLVDYezYlVlpJBNxj1aXmFcYKdFYaj0/fGPW+tg1JIPkF4GuTa6V0Q/2XKbsFEYMb322C3uuWcHuSb+rONiU56SfFtFYqpUP27HV+jDjVh5LDld9tNGLinmScGfYG7VenFI1FI6s5O+vlcPjBP9S3J5MxKcSRfN5xXYRelnZWOlnCT7S+lk7rI9dCuPxeIvV/trdJ1/47Brxz/mHCyfqHB7O1bgeo1A4st0kz6Yuz1UoHAElfgbjUGJFEahYhREjChi1xPpYqTBQXdjvq7nvxI5FO7WOVVEcokz2yFhhVjWuIVlU5JPy7ZJ5SRpWFAFHKIwUswNGzVQYsCJVvpp3Tr24hDgeiib8MI1mIsgEbnEjO3CkwogxY7sCbYW5YEUCm0/siDKZ3QcKq1I8HTVrYAaOVxgpNAJGaShMtX9Gh89bdVffjs8kDJ3IAiBHMcW54hpIycpqX12FUYF0uwKJwvi8VWNV/prvs2pF1KA5j8FZPLQTV2F0wFufVq23KY7CCHORcrEiWoTCEaPBtNyeedLKYFbhKoxBeCvUzH+4fRa5/Hj92ER2qv6I1+PbjzyegzieLOE4Q/EAAAAKSURBVBeGQQj9P1FzXTCgkzjZAAAAAElFTkSuQmCC",o="data:image/png;base64,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",c="data:image/png;base64,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",E="data:image/png;base64,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",B="data:image/png;base64,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",p="data:image/png;base64,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",Y="data:image/png;base64,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",V="data:image/png;base64,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",R="data:image/png;base64,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",I="data:image/png;base64,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",v="data:image/png;base64,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",U="data:image/png;base64,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",W="data:image/png;base64,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",K="data:image/png;base64,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",N="data:image/png;base64,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",Q="data:image/png;base64,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",O="data:image/png;base64,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",M="data:image/png;base64,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",G="data:image/png;base64,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",x="data:image/png;base64,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",Z="data:image/png;base64,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",X="data:image/png;base64,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",n="data:image/png;base64,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",F="data:image/png;base64,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",h="data:image/png;base64,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",o="data:image/png;base64,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",u="data:image/png;base64,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",c="data:image/png;base64,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",E="data:image/png;base64,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",B="data:image/png;base64,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",p="data:image/png;base64,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",Y="data:image/png;base64,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",V="data:image/png;base64,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",R="data:image/png;base64,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",I="data:image/png;base64,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",v="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMAAAACbCAYAAAFDkqSlAAAACXBIWXMAAC4jAAAuIwF4pT92AAAYkUlEQVR4nO2df4xc1XXH3653bS/peu0yiUTIeGAixiEost0gSpsgexv4KxG4+adEUAHSIKXNDwwSoW2kgCO1SktV06CSSkyLUYiS/lNj1EiRcDGobeQgUm/+QISJwNiERGqG2MaJ7V2v19V5+974zZ373v3ee899776Z95GsXc/OzPtx37n33HO/95yJixcvBihX/+H9P5j+6FcP09u7ndojyMfgA9Qbzf4bZ255OYgOMqH63CR8+hJa7d5GlgMkz544+/wN8a8nrA9QbzRfjH+Pbw1xcfl0+LPV7mXeY+QKdiS/fN2N3wl/njv0KeCjigOItyb8wOw1/d/jW5V1FVAbJJ6agf8jpB5APPvf3zItfZ/qKpRXEJ/tj14/L309Savduwo6QHz2a697OPPgE1OzA1cRBMFR5QHqjebJ+Pc1H/x05gHWz/9n//cLv/iP8Kd4q2RXMBdoNGT8vqVXvy79+8ABZI9lknfeXck8mKzBpW2QdvbzD/1a+nrW1fYPoDp7ekxjO8hCvIqwu643mlfFT4COEYnEX574jvn4CoYeLxsSj+2hqXqjOTAyJf7IwuTbx96Ehj5TtMbkVrsXngw6HgcmY7LOeByYDJnIGKB1gOgRltJq9/ZZHyB+hNffdCCY3PTx8IXEk3aX1QGSt2Zi/RXBuuu/1f/b0sKD4U+OQX/AuuPfL/zqJeSj+JBJ/dCPH7984D0sg37y7GdnJoZeU5E5ZMZDYhbag3690dwd/54cErOuLKbV7r0ovia7gr1pXyAy/eF7w1cSj+2OzAOoBh2Rqea9/VfOHfqj8Kd4q6ZkH0y5fOlB6L10BReXfyP9OzxkIkCDftq9JztIG5Oz2isek8MjrvnAjmDt1ketzj4QuvTJ5ATD9MsDcXJy9pfhz1a7tzDxoc1XW9/7rANaTQLTSExStmuNyQiRl9J3yyUPwKlup6acnaKwXkCaKZHBx71KDOozqGC7AKQfEFuD4yJYnlHpZDpyP5KITi/qWGVh3QKyk0/eaZmnztkSVhegOvkY5CIoltbt1N7SPQejR6jeaO4UT35q8+dShxzwoo4ibrSIdgvUG026S43ka+vnXwgmpn6n///kmJr0EigMEMcaYsiTFu1F55HSaoHorg+cPN3d5Mlnsfa6r4UXm2TxlT8LFg/fMfCajnHDF4A+7yroYsXPrZz+mXEPZRSONT151edNLgKZu7KffNb36F5E1sRvo3jyEzNXaJ383/zbb5XvQS+i1e5tk31e2gvVG8194sR93fX/HExu+j3oxE0499+39f3kGJoWCnPPl7qd2s7MC+B4ZNK6URUrJ/43WHzl8wPvUjmCymkl1/OOQC0sHm/5zScz7aLfAkWfvAjqQw1MKsuAeBGTWSG+MsA+pQwiZ2/dDf+ya3LuYycTL7/Y7dSGgke2uJgTD3yhi1lYEtaoQeSpDrByujvwf45ZWBLusEdDfGHx8J3MhxiE7QKyejIbd1mFk8CTCLnLIq12b5c3F4CMI5KBaT/Hsa0vIBmT16XV7mlP4kU4WmCv+AJ1neBEfsjodbG6gKSIIHnyMaIXGSQEBDG2Bm3bAnNZf0wugsSkCRRMMb4A1HuVvRav6MTYtIJpYGsoPE7TTRTZilGr3bs7twuQicPWf/JA6ptBg37K5ES0L6DeaD4mvkbz5SSyFS+khVrt3lCnoMKkBe4TX0hO9pMnnvxd1kKSVsjsFGSYhBYH0Jl2rt02vMp3/o0nB/6va9C5+EIxa94/tFYdTtptyD02yhVSjEFjo8PiQckSksjLgjBRh1a7B/lYaAsMqceSCpk0RGVlDNitDvlYMrS0vDGkIUI4eGQp/cCSFhRDi0i3CmuFk5BGKY3kY/Pa28up75O1IMVHBZTdqrYWWWW4aY+NDFlLxoKtGBbhlg46hitrSVQQFgMLwwKw29RpgbTv1OlW03RhO8XXZJOTNA4uLAW37dF2azKJxZ8iaQscuUeqTVf0ZcK5oYm2uDTqgjUf/MzQt66c+PHA/2XdquwRGppoo+vAQcKVpn9fuvUy+HO0hixCa8gCQ92q0xUanQsIUlr63H8Njg3IboI+iLhT5PTZS9//5//0ntZnZS198dwvh15L7kfycolJx6DDFhDV+AGwG8UlSMvH3Wr8CA2drU6UgZ3p4UdJ0irhOZPu8qTJXLQIqKcSuttTk2U5+UAe1ZvLdU7sgFOlWidOXej2nSiYNhSPkohBRIbEIb7hfQOonm4avAFfc97FGjsH3jZAFMBXbpCOAZyef+x2asarea7wsgHqjeYukzVYoBGOdTs1r6Q53jWATGyoAzAusKtlbPCqAaIlZ2u/UqYlF/GlEbxpAG5Xcmrz7cH0lgcy3+NDI3jRAOjNj/t4WiEXl/llUNQYWMTY1O3UeAOgGhQ+E0NuPvXpyQFWtnlCBsWSgDwHJ7hUYyYU1gD1RnMbcvMp+JC2KRuNtwGNsN9k4xQHhXRB4j7XNEiQIFvTF6GURHHeoyx8dFNzb4B6o7kQBMFW1fvEHXUqaAFBXAWRfu8nDyhjpXkOzrk2gO5gq8uFX3w/WHp1j/JT01vuD/d7ZpFXI+TWAK5vfgwNvOJKlAwSlonqOJE8GiGXBrC9+WlJMmhv4L7nz0r/hmR5AgN5RluzUZx6QbINmDJo1pp289MS3BF/9SfvS/0b5KYu/wZpqKOmKlwEZw1QbzTvRqKZJBrJkqtliaRUMLqpT7XavWeNTyQDJw1QbzSfRaTPlNlSpshP8t4Zuy4y3OIPrBCvZi3KdGVvM1FCq2BvgCigphwF6cYkM3+6hFxPRJ5F8wmFKzvn9ba9qL9XRjO5FCM6akKyNJXXE0TzCZUr6+WuvbzczCSPP3dG6/3keiJSOZpPqFxZrkbIbdehbvqJJD9NGYh15agBcyAvSm1hFbqw3bM3lFFIRhhQy9jPpOL5DL27KYwe0tE0+S2CzZY9Ough1fsooCYTf+pgs+Uji9UkSHh+zQwelqXFRDDdcriARDOpv0WimSpkXU1at6QLhbopm6SK0E09O6xVTbDDxE01yQWW+2BLHPrb3w2uvPzS86KTHAcBDeTJkuqI6MSQtBqgqJufF0UE8oxqY6R+2dRsZkrhssAYyFOuNysbIJkJPwsKqCFbEE0RI6L7f7gYPPSv6lUwU9Cc+YC1Z8oiMxsgCqgpYzrUJ6piOjZk1VHgHguSMDbCnrTyAFl79aCAGsk+XN78IlmNV7WUZwAE8lLd1LStepBCLc/B9pkH54IbEmsDtAUqa0MyJ7SxX8xOIINyl6tcWnFwhnIpyiirp2OKLM+jDCoFpNrhpZULUsa43fwgcj2RkLZuIC/e4qOlxa/AAB7UTbRNr7r5DlE1AnVB3u0aGSec19QaZwD3fNOAFxRlRHykTJtvfYPWuddu/fssIcDAXrVSbFMNLm3a2zV97V/unPrQH2cJpehvzxap+dehLPuEh8u/zF7TL9iagVNVGwel3icMNkKhO2BUeJ2rQJY3LQnlSAb2BXjtYvueLEK5VojUi0ZTARaBtw0gy5KchpgdWQKUyrAIvGwA2j+m4woj2Z1NVQuu8dUCjuh+QMy6KMFenuEA7xpAlsALAcka6ULdbIuPFmCcLg3YvD1nKyXkxqsGULmdKmjHi0I8FXBXw7fFmwaIQg3W/bQkjfAQNlpObnyyALYJ0/Lx76reUlxWSAEvGkCWcNiG86+r3X5f3FJfLECpsg7C2I9aIhIDLKB74Zb6kC1lqLyIDNJirrvxGXjTHakYVPjglvpgAUPpKGUkS6agmz1At1RavDUvCm0AWbpzGTIRrCxluQi5pUACD+1ZNydF5gsit1NZF41Ev7KsKeiuG0ka9iGKdEuLtADI7cxSXMsKHMkAZIWFuaWFNECkulaiUqKh25+Qok1FuaVFWQBUwQ1RXaMlMsQSqRJ2JGsT5EXuDRAlZlUCrPWG0PgAuaXY8mXuC/hFWIAyKy5tddLJI4G7pcrlS3JLc822nmsDoMuMJvvM0FpJgFsKzcq5yK0Bor1m6gJnQK0+GeguHd/c0jwtAIrD22z0Q7KhBOEasnI/cG5uaS4NgFbhtq0dROEKJPUAbaJQ0Wr3FqxOBqQUSfs++4n1wTfuGZwNp+0RK1teaecWgC4zpt2MK2trhm4+8cQXNkjfT24pMo7Qrnhg+dK5qi6PLkg5XSU/Pq3SKe2O1AUdR8DlS6duqeu0lZjbmeHHJxN0iNy8fW3q31C3FFDVOXVLXaat3Im4nUhYOY1r61Opf0PdUlBV58wtdWkB0JNjm8wpC7QCNaCqc+aWusobCj0xaDjZFBpXILcUU9U5cUtdWQD0xNhm00Ky6qJhDcB13eoiWuoicSv0pKBh5Kx8cafBrLpISjJQVcfulnInbt2IFGcI3U6N4gxpoGkrKYkGQhFuKbcFQE+ITgpLk9ygMtAwB7B8yeqWcmbOhZ4MnRL7gVCl2wbKYoIALl9CWiYETguAngzd5E6vHedJTxlouKWAqg7SMiFwpS6G1W26/PzdFY5TDAndUlBVp1q+bLV7LMuXXBagfCLCZcaEug3lnd4FplNcBR1/FtXpKxscbql1A6DqtnWg+ecBo6rO2i21Td59lY26zQabfNLMqjort9TWApwvM6ZhU1sm0BiPXLulNtnTWdRtptjWlkHHI9AtNa5DaWMBbOo2EzhS2qPhECCftHEFcNP09VBJJ9TvNoFjhhwuXwK7bsLlS0duqakFKB8JcjvTlhl14ZoNy6BdNwiAqs7ILdVuAJfqtjTSyhVyAS9f/p9y3UDbLdVqAFTdhoR/dRCrJXGXNIGXL3+iXDkLdKtz61oA5Hai4V8d/vTRU8E7766EaevvfPQU+/czqur26xxXp4DDbiTvDoV90cijbzBW5n6626lBbrqOBUBJj8p68wOd5UtGtxRqAFt1W5ngUtWhbqmyAdAkGlnqtjLBqKprIKlxEAvA9vJaVMpTcfctM2EZk+S/DZe5qzY+veUB6H2Aqk5deyfrj3mo21RQRW1Z5exXvnm5s2NObb4deh+oqsscjFUWULi67dsZ4twsbagtjMuXmTGzrCI+kLrNZJmRiyxtqC2oqg5MCpIaLc2yAEjHYbLMqENWHMhVkc8YRlVdqlsqbQBudZsNt+5JDz1xaYayQFV1K6e7me9Jc0uHGgBVt1EYl3uZUQYtys//xWCMi0ISLgu4JUHDKouH71S9ReqWVmWsAFxWWhXLWDlRt5UdZlXdgFsqdkFO1G2jAJwURNMt7TcAmkTDdCd72UHHO1BV11/STVoAFMEDxEojCXk6KICqrv+GuJLeW4jAqgKHgnqK3uJUt1PbSJX0oILNFfogpQzXbJjbVJUxdMTkzBUq2cuM7zVkSs2yOly9rWqAYlmoGsAhQBzpEWqA7WW+SJ+Z2vy5rLM7RqlwqJoqRT6fHvebxY0ilE0uaBiYC7ugt4+9SfGJTUEQqPfsV2RCy5lhhnf5Yg7d3+3k/8cvlKaaahmIgpm708TLlIqTuiXLNXRqxH3dTs14T0LFJSoDYCCKY2rt0aDYHiUHRnbNZkAa2Z3dTi2X/IKjSGUAFkRifasoGrKGBnCg26lpieIrVqkMwJDI3WFJm0LrnbYZa6NZnVc1GstAZQAGoBtVdCBxG4PCkFyiq3yun+8blQFoYuLvo5AUdd0fPAPJURVc3e3Uci8EUkYqA9Ag2qTltPok0+SYmO92al5W0PeJygAAIqXyQp6aHUDPgnB/t1Njyyw4ilRrwQqiSE/ugjXK0gVs/lOxlzO15ihSjQAZcEZ6TGEKk77U7dRyrUtXFioDSCHKhAclY3MNU4SoCpNKqAxAQrQxurDKzjLAYmcqqjCpQGUAAlEWSHX1hgIII0Q3HeAIk26v5BOrVJPgBFFSAC8f/qBfGvNTyo34AEd08wmOKtUIcCnM+RaSDQmBemiqihanLqEH9/yre5BMozCUNIEhIeiebqeWW7lqHxl7A+AQtCWhhzItoweaZAKFKUIE59QcRcbaALjDnPQwqvJmUOoCIH8EDJOQbmzDpGNrANyRHp0MzeQSUfoIJCsyQhUmNWcsDYBb0EYPn0mqQsq1C9RrhWAS0lGYdNs4CenGzgA4BW30sIUPnUWCbJI8cCZconzRlZAOZ2wMgFvQRg9ZqNpkSNN5/vW9wfLx73KcVgiTkO6ecdh3PBbrANyCNnq4wp6WKUft9Jb74ez4CExCuqda7d7Ih0hHfgTgjvRQRgdXifm5I0SUIoTBsEY6TDrSBsAtaEPCnLZQJSCgHBMMU4RoZMOkI2sA3GFO00iPCdxhUiYh3bEoQjRSQrqRNABuQRs9PEWUQqPaDwy6nxAmId3IhUlHzgA4042HYc6b+Ca7JlChXE4NEZWpRmqFKxiZMOnIGAC3oI0eErSmeZIra2uCL996WVhJbnbmUk0Yqrl18MhS8M3nzoTVh3Sg+ifn31DXQEFhEtKNRJh0JAwgT0FbGp/9xPrgG/dgIwUZw/xDvw7eO4Pfe0+FdKVXk5beAOqN5i7dUu1ZmER6vnr7+4K7bp7R+sxP317OLAQoY+X0z4LFw3dofSYLJiFdqdMylnohLIr0sD389DCYhDl1H37iI/WpsBqyDpRdmiqWMewIC6FRhWHd4bZWu1fa3WWlNYBI0MYa5kTVnEl0H+IkNxh8libkVHyAQe8TQotvVG/XMuS6tdXunWy1exuB93pFKQ0gErSxqDmpN6UwZ14xfi5IisFVNjLeammpTKXgwwlZSV6fKZUBUKQnCnPyqDlnrljtTS1i/HkU7U6DRG+KOkBakDybQZl6tNXulWbVuDQG4ErQVnZcCOkYlKmHxLLUvlIKA4gEbUe5YvwkaKPekwuK6JjwMtPoQaI3Br1PH5Jnn3/9H2y/phRqUu8NIBK08e3b3fIAu5pTJ56f5DVDw5FBcxgGvU+f5ePf44gQPdxq97xeMfbaAKIwJ5uak3pJ6i25MZ0HmBpOGqHojTFMGkaI7JWpO1rtnrfaIW8NIIr0sIU5fYv0cLk/InGYlEHvExLKs+3DpA1fw6ReGgBrpIfCnNQrOlRzmjzMrqNHpGOyLMfahykjnZdhUq8MIApznmSL9My2VsOcBao50yA9kGtorsOg9+lD8mwGZapXYVJvDKDeaG6jHoIt0vOBHUZqThNMevPXjvNNgLMgaQelaeSC5NkMylQKk+52d9U4XhhAJGg7wvV91OvpqjnzJs8FtDXv3xFmsOCC5NkMylQvqtcUbgC+CNps0ZkHvPPuSu7n56mQ7r6iw6SFGoAvgra80d0Qw4WnQrpCw6SFGQC7oG3+hULDnDouTZH6ocBPIV1hYdLcDcCZoK3gSI9OVIdzBdgUD4V0cZh0G9tJAeRqAJGg7cQoCtp0ojqnmVeATfFUSJdr9ZrcDCAhaGOBei9OQZstZXKBkngqpNufl5AuFwNwIWij3ss3kEjQwYUl787bYyGd86wTzg2g3mg+VgZBGwePP3dG+S1//b3fennungrp7nIdJnWaFYIzF39QYIY2HSgf0BNf2DD0CZok3/l3p7yYAKvgrFnAlJHOWfUaZwYwahnaxo2lV7/OkWK9D0NGOidFvtkNwJcMbRX2sGeku+5rHApV1rSMrAYQCdrYND0uc/FXYFz41UvB0sKDbHeLKSMdW1pGNgPwIUNbhRs8zUjHkpaRxQCKLDnqG3FyXEp6deXlq0E2Er9RiPTf/+ecV2sAOrCXdp29hkOhal29xtoA2EuO3vid8OaUjS/deln4D8EkL6gvsJZ25YkQWVWvsTIA9pKjJY30PPHFDcHN29ZqfcYkQ7QveFja1bh6jdFCWGLr4kgJ2ky4tj6l/fATVDvAJKmuD3gopKNw+1sm+421DSAhaOMJc5Y8Q9t7Oezt9RGSojBMZPswCOnmTPYbaxnAqAvaTKDNLft/uKj9SZoYI9IJn6FAhYdCOq20jPAcoN5o0ibmvTZnloQEbb5qekwgV+iZr8wNlEVK4+mDZ73VBJngaWlXKEwKGUAkaLvP9oxi8iw5WgQUCr1FqBFGYdCyhkARwjDp4Tv4IkQ8pV2V1WuUBjCOgrYKczwU0v2k26ml7jLLNIBK0FZhAruQ7vpv2e5hThXSSQ2AW9AWhjlHIBd/BQ5NaBm2R/ZhEtJdLRb5HooCcWdoC6Lev2K8mJjmHelpVGFQpg6FSQdGgGjrItvurYEDTc0GU43b2dJxVPgJaYWW33jSNpFuKpTljiHVY19N2jcAbkFbRYUrmIR0YZg0NABuQVtFhWtWs9y9YHuUeyYjHX/18FeUClp3YEjQezdNgnPNxFVRwQXHottkFO6sqCgdDNHFffEcgHW1t6LCNQyrxJcmwUEVBaooEZZRIFoV3tnt1BYC2UpwtBbwGOdCWEUFB6Qenvrwvaa9PkkRdg+sBAdB8P9ljNX/a3xRCwAAAABJRU5ErkJggg==",U="data:image/png;base64,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",W="data:image/png;base64,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",K="data:image/png;base64,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",b="data:image/png;base64,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",Q="data:image/png;base64,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",O="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALcAAAC4CAYAAAHWP03cAAANE0lEQVR4nO2dTYwUxxmGv13WJuDAQugbxpBDxtlTQJFiCR9YJHzl75IcjGCTOdlBXg7IUXLAHCzF4uB1NuHUSnZlH3zCLNcgwR5sKSgR5oTdF6+NOaUJHpDBP+CJvqFr1NNTM13dU11TVf0+0sjseqem5q23q776n2i325Sm0YxnqTxrURisiXd3E2804/YIifYRhcFEJ3HdCQsmq0i0m3ijGb+hI6H3Tk/3/W6qTEKXzmyhn+/If2vuX1x56ye0fdsklwsXUqFMSBMvmsggqi1QZxOXan7/YZtufvGIbt/5gb6MH9PNW486v1+89ICuffo9/evT78snvmnDBP3q+ad6fsduOXlwY+ff15LE0x8i+9BSPhcfLMtAGrhFilTztHYzO6Zo5cwWfYmnYRuKDxP/3bxxgv79l225iU/87Hf/5WbtSqms5SXubktESWOqO+FuA51mlNAiCoOr6Z+F5vNE9Pbo+e1+SEcJobm2hCkVA7EVK3EKjeXxz0PWgGer29zExWNeJqyQJv7C80/Ru5LoqQxoLKRIC1TWuhcNK2hQ4tnWnRMWYYXswwd9qLbQQuZzuEVKn+ZcMGn9/rOY38oPolSVK7oyaWQF6m59PllFy09JO1pJaCHS6wstqIJBBg2sRmHQE/KkR0R4COCMZRnuo0dxCxXOY0+lT1CFXJ/SNUpUBh5ZynaSaUAFmKVU85mHrDbWjXLGVbq5QqmqM02qrQSHvGX75lXh6sOJjBuHwywnWswsSrWKan9U1CqjDour1OPwuGn8zrjo0R0716o+R4oUilWyXdJB7P/D3c6MGk91WJFxVW7Hj+mXJ+/k/jUPx62c2VoqtnG1I+Hmw9k3Du+C8nm9fKvCANkQhzTjaUZcZFGa7CxKbsZtHKbIVdxyj7eiMOh2w7q1igMP5nSjGX8lfuhk3KF6nDO/ixytxz+jZNmQc60mVT1CXiHLVlnl6Is/6pnNGsLxSqJD1Uz+ee7Hfb/nqbZFhfcbyfiJlzbQH3/9jNY0K8m4rsVvwxgp4+zHtCdVeke6UM74n37zDB0/sMFYxvJQyriJoi8KxlVMg4ybxrqMy2bhZEBx0yg3QNcya4yya46uSRZDDfpbHbgaj+ttOQdNpWRLi4aU2L0H7e7q+GEYCWtlNcWw2gNzQCbhTRVOZpx3gqgAq5gGGTeNUsa5XuXXBx99a03GCzVAr//9fueVJtvTN8XIVuGASpRI+ndVU0mTzxnPZl53yRgbO9T9ZZwNa12tDk9xxlcsyEghojBY4JXvhx3KcxdhlRsW5EWJni11URjstj7HTzgi/pGdWeYJUD37xvSzNQqD7gStC3sk+vZHkMrqiTSNZsyWukhEOyvKpIuc4lpONd9DBW80Y16scLemQpblbBQGA3dvDHo0l3ju1sIv4xQqy4N2iTUVQBsr6ZgqvaxpAWJXwqF0Yy6WY50gote8+pqWIdbAObuO2VH2TI5r0WxNucgDQRA8WdR2dO966WQazwS+rGdDy86xrdozBS+8YyFVjpozgZOC8+Yb4UhbhFTFqtyykLwucOa5KXrlr/d6/p+Ny+/KYETw7cG6jhv58a5yz5sLaBNc9WS7uqNt8mTGsbp0XDg7ee8qENwwENwwEFwB1YXgKkBww0Bww0Bwwzh7PpOrwOGG0dY91Hn4NEk2cox78ErXLmA43DAQ3DAQXAHZhryyQHDDQHDDQHDDQHDDaBOcd2+DfLR1fNI3eA2Cp+GOvrjeqhN7TGN0IpIL5c33+fX10L/jWX5fsXLml0/jzSJ7elxcfuH0VDsXjGzzahaxwIhXa5m4BmIYtVjbwA26SsGQgbWIPB6ObSbmWMWCfIN0b/jiXae1+MbjZZkyl4dhT2Z1dHeyyY5DR/Wil/w96wThdTAXhcFSNh2Vmwp4S+E/LP5iNiE90CBNocMNBMk911wQv/BKrmK8Q0QLURisFXlXKcEFddxymHdHyDCKHt2BAw964WN9Dqs6XKXu5jBxzeITa2xhf+GbcdI0mjEfQHPIb430MuxqaISB1bAnCoOPsylLxyUh9MhcT0LnHtCjrJYeh/c4O313FdDC9XQi6RN/5hFx6Kfv8rWEt734dvYxLTp/4milsV3GXxOuEI5VMspWnqPERIIZVrgaQRVihkOTOAbPHFgBaxCIPQBeOMpXPerc/YYTYQyuyK2d2ONc6uy12LzBlhddHtm73oLceCS2bcLKcFJsF4SV4YTYB/Y8Tedf3WxBTkbDqtCPHXv+9/2invBk387YnM3CHn9pAx3Y/bT0/1VxI+y4MSI2VwPsTp0HabmIdrGHnY+tyqaNfp4bq01snd1a7nhcvv6dtvRsAWMjBoHYBoHYBoHYBoHYBoHYBoHYBoHYBoHYBoHYBoHYBoHYBoHYBoHYBoHYBoHYBtE+U5N3lHLe3CK//8s7P/T87sJH33bfx2cJ3s+cqsl/LzvKzjZ4MTx2HRgC1YhBILZBrJzwPXau1VO3v/XbTblLzT659Sj3hOSbCn8ja3N0rWFxYvmZytGfKqdQll1egetYHARiGwRiGwRiGwRiGwRiGwRiGwRiGwRiGwRiGwRiGwRiGwRiGwRiGwRiG0Sb2Lczk7SgH22TB/tf/1/Pz1VfLeUilSmx9M+HnVcaHRtSXcao7S58+E3nlaZOW63H/ozzTt7sbt7Nnm6ntjIayc6Av3yuRa/87Z7Wi+vHgTOtl+wJcK0KcjpUkBXAsHNMxo13cRkvqMkuqrGlAGoRBNtSALXtcQwqgCpPVcOSYYNgIMogLPZqbb7tmGGxF2qtgDlauGDCHHOizm7V4duOE77bV4i9u54SGKPTLqbvYv8K111Vg7gjshv6RWGwxa+vaA2nREaycfZcPfWojFYUBt1oT3YfJC5F1kT2itm+HmQUBnxD57Jj38s2WrK7fKXd9UTwI3VTSBM3BrV/KleBI0pRR3pRskDpkvvk7nVOZOe4voXlHInC4GJeFpXETtNoxruTm/bqfB87d1KWuFdY5E2FxS5DUkCzSU91FxHtq/xDgW20ktqRX1f5FYVBpRd0azV3Ur1zMDOPKh4UZIVH/KMwuKpLuJHN3WjGh5NpCJgZ6IRDkRNRGKyVTbOUuZPb2y+i1wMMwUY/XDSMKWRujA6CMdNKavPcnjsVGCqBqYFt7M+Lz4eaO4mnP0CxAkv5nEfgBoUrA1dbNprxVRgbWA4PYtxtNON5WTZls+48nLeGziJwjOVkTr1Lj7kbzZgnWD5DqQJHWY3CYFZkPRuWDJykB8AB9iWDH73mbjRjjFsDHzjeaMad8KRj7mRUpM4Lc4BfdJZyi5pb2tsEwFGmeQSFd7mjEwl8ZHUyWYIKgG/sm0rWWQMgZWbHFM08N0UzO9Z1/j3osLTlyw/pzfe/tkpEnK1aU1RNq8qMhcf0wtyeodu0LgNzOwKfn/fEtE+MiwPN84FCYwamrQ4oWQF8VrsICYRxVe6MBnqBuTXy3unpWse4tgFzF6hpj51r9Z0lDezFa3NvD9Z1Rw04tuWfER7UByfN3alZg8muabm23bTBzzuJQHmsNLetVwdxfhCWuIN15uaa+Pyrmy3ICXAdBKDAW2Bu4C0wN/AWmBt4C8wNvAXmBt4CcwNvgbmBt8DcwFtgbqAFG5f6wtzAW2Bu4C0wN/AWmBt4C8wNvAV7KMHI3H/YpgsffmOdkHzKK1+af8aCvACgFYQlwFtgbuAt1sXcfPzC0b3rS7+f47+bXzzSkpd7D9p085aetIB5rDP3s9sm6eTBjRbkpJ+8Q3nqfOLUJ7ce0cGz0ot8xwbCEqAFGw/whLmBt8DcwFtgbuAtMDfwFpgbaOGahWcowtzAW2Bu4C0wN/AWmBt4C8wNvAXmBt4CcwNvgbmBt8DcwFtgbuAt1i3C5c0AjWbcc6vvs8llqbj0HxTBWrfwFi82usq9jy9krrXG/euAfDm3RPUhYPM/eQjWdVsF4C+1aud5s6/Kht/snfG4fttNEMRKuB0/7rwuX/+OFgu8b/HSA3r39LSxfILhwNwaEZ3hLGgJxgPMbQDVliA9QpTuIINywNwWoTpChIdADZjbQfAQqAFze0zZh4BP/fJhwgzmBqUnzNKzxirvNQ2fzz1LRFdQxMAzWhPtdpuHr9ooWeAZy6J38Q5KFnjGkjD3GyhZ4BErURhc7Zg7CgM+WHkOpQs84QSlNytEYbCE8AR4wJ6ksu7diROFwTwH4ihh4Cj7ozD4WGS9b7oq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",M="data:image/png;base64,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",G="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAAEnNBZRAAAYX0lEQVR4nO2dTWxdx3WAh8+sFVp/pPUWBfwTa9HXaGUKNhLAWUiEFRTZ6MebaGFDpPo2VWObWrgWooXIhQOpQWDKcrx6iEjIBZwCrUmjQBdWIHHRADWcSmxhKH0oIKlxVn2KRFuKYse2inM193ne5cydvzNzZy7nAwyZfO/dO+/w3DNnzpw5Z+jevXtElVa7txve2u00L6p8pPTirXZP5c5L3U5zv/LFW+3eNCHkdeWvdP/bDEkvrjhapZs0MC9cvEaD+eW0ycW2PLRGGn3YkWvJOOfDN7at+V0++kzmpuLodprsBYsvb28Uf2MKeyPK1WGMC3NGnWE88rdf2Sp9TyN/pHX59l/+mfzipiNXQUlbdjw2TJZOjApfF8mc+wc9dXgzOfDMBuuRc8WCcWH24svsL0VfUwcwYNnFu51mqcb85rdfCF97+qUb0pGvscfs6F975w45dvY297VP/rBWF/JrlapifpFzr2wl//xvf8x+VhDZ1JqR80af2wuNv8FUt9Ocz39Yo4r5DUD34aIcg9SHFRVvmhOKhb55+8Sxm8IbgKjgfbwLZ8ATqvrfX/z1/+3Web+1ayEcdYlroT0zKcncdMrjfQ7VtSh+viF6AeMGDZsLi1Q0n92sZyLBDS4QOoc+YXtR+H/eTeDxv2pycRae7QFRO52g4724kjv31g+3kD3jD3Jf+92Nr/QuXmbDi0y8+nvhaw3R7GNLf/ZnAbWCCQIDrt/yu96XVpcemP15fgvrqxQfEtUJe2CyKBqwX5/ZRjaPDHEvBn8bmKBhHuWNmshcC7hwGWUXXnPx4hs+vatuiXnTnEjP+76LTDW1J2gdWu0erAp0dXe122mKVxMKaA8ca6rlsCzz5FmUBu5wsCKE4aEcjBiUU0R6juaEOma222nOsLdAc3BNgBW/4qR3ojiuAZPlc9AmszQ1oZnq9FXF56CPH9xIDu0Z4b4Gk8dTL4rX+oTqvVXIzxSZtD/47z+R53+yWvaWnSgRPx1Ar3lohnYuOXWceZSF33QwjlRWTUN1t8QWeCCx/H2iugxiKbMIppx57w9uBj75vRHyox9sRB0si+7A2fhqqVsPg4aLv1BuorzSlzgMXmTPMaLQIspW3Dy4cWGZ5EnJl1D5crwlVdlqvgg7PpF3CJZmV9lF8hWp7uCLlkXxM2ohZ1iJyKR//tLn0hvKUBj0gpY/XqTV7s0RQl4u/l6yPclF5TMqKmuy5oQl1bvFwfOCFWUDLw5aZbAs1qt84Nwv706/8OzI6xo6rjVIHigD56GbgKELRlxlkRCyT/NjAzte3gZOpXnB5sY5urqdo5t/Mw5OvMmNZDh7OD0t75RDc9KBG8YGrVCRvmwPe8b3oIniX1co8Va7B0/9IRcDU8VkH3hgdqwS0eBFqhLEoEmJ2lQaOySKoTiVjfdbyOMqRWfVT61bn6LE5TljSBgkxgxYN/RsBF0unHpY+ROtdm9yzcB9wqrII9sa2c8QAlHg7MDA6RqzUiAEAl+gLFWVJZd46cLYJ7w02IK63KtEVVRyRlUY9h2t5eWj/vgXd8j8+3e1rtPAWhDYoDtoUpVVsQW81igHDtuHsQ48TlUhvgeOuZXibeCYgyaEXEfb5wRf48W9D0lzlpCYg4GvEEKeVL0esuSM6Haac7BdOK464BAGnaOk4yENOEc68Oe++w1vg1FkiTADnxJ9ZsdjD2T/utp5O/KzT7Ten+dqaeWruFAZXYHwtguvYw8KG24eabfTlOaqi07pmOzF21J8OI+WXY93AgiAiWffrDwkA5k/ppQm14Jhl11XpJNXfvuF8LWF83e5r2k8mEvFXxjnHZrsEMN6k126aeyNKu8sa+/pK8ZFtNGN1koHX5S4ybpRRtkYSmdO1Q0lkzwW9lybyb2lU77K4Hc8ru8dl22fW+8BFS4kPAKKmPa0XfWvrLwC4qWCvPurz0wGx2OFnli8pvoB7aUbcyRy9dWff2o0SsZ+n6bXU1oTsKAkIXx0/YubJ//xzui/S2ZGsOM3Pv1q+ftPb7AO+znLnjCFbrtPI2xVwjM5b5vsgE1lAjfMFsHkQLfTXPR9Uy8Cp1tO/d2bQLmusiKxxWVC1i2fm6YOcPIEoAq8BkIWMYGVyYeRuRdMWosH/J/kzAkh6alKvGRKkpJc7PWKywxP7wmTEbGiunpTPWFQ18kQm7Fup1ka9JWu7WnYs5bC3rPzQew9xJuy5DBhwAwzFT9EWCFD0B6RXexJ8CJcDacrw1oKG/ZqixoNReOwEW2I8AqH1lazQdgnpzYJXz9/+XNy5E29PWIZRU0vlt+ptSeia6th0/NKST1GRQYWS6X1juqE7cSoUEeijP6ZODbR3Xuo0hffUagnK0OlJm0J/UhpJeVUfKOj3bBFK9sBMiQrQpW5hTQusu5xWSYhPwORm5TaBqEg4ycUwAOMNuValZAETgiZadBN24QfdoGG41R6SihRa5MSmDnJqKRYnQ94JYFkOPZSMrwX2bMFivRBWBUWM5aLkSpY8i7wXFChCcwmEVyD6VzgR0376fCAU9FwNt3TUSsUfBwtgKxP1KX9eydGybcEdTlDx4P9zgoDs15K6dkNGRCviFXYPsirMLMnfaRnTkSEeExPB9h4cMxYfnn0VnE5MCmeQ6rH4BrH5gSS4PvN7ErbFtjgKMQZG8ussLkCxxR6WbuwUHDonazwmjAYHwhTYe/sLa3mHuAL+1jtsTgS+GlRJpbKQTarastQDB/K0aiQL4RA6CqnVkXAJAjXkC1mHD2B24tmhEU11Q0lJVklvgFC2CsRdr5HqXIYqmw1i/00YR4cXMTSdviSZZql4suDoG0nZd3K4BJ2oh94JPcFP4ph20UH4HN8hFV1KpqXsEDPPV5W/YDR0pBtSKXzuUeaD5ALJ8dK3wNlFGR/EFsQtBsEPanwvjVYrcUZwcNR3G/K3g+t4MCciMyGLw/FQrt36mgzD+xDVUqpchDPfutvt6z5vUqLHx14kyZot6bApf3AdHB5bFAqfF4MBlPLeQJXvP7pMtfOBmfhPXoSoD/B8g7H8popQ4hX5haaUuIdabXms6HSs/atdg+06HXYrICatMzvUa4vKC4DFW8mZUdDXBFccQMWuuACzRtXKJcLawSY0ODIx6Lt5OaKoAVehFc111f7MCxCLN8BZmY/QgHo07R8R1CaXrnA6WQ65+Gk3ALsmldlu3MqEXgA5TxQfWsdvApcpYlaBaBVilDBV4EapaV/xVj3plLBqcAD1WgZ23XKtOniROCRlFwqw7ouigh0gdesEAK6mUETeI1PMKNqO4rAI7XVukhLc6hgfQKCmpC6C5vQ0hzWEUUrgde5loqAC2zbLxOMBV7nk8sSztocJDYS+DoWds4hU6FrCzwJu88hE/Oi23A4CXstWrEYnTJ6McRDqkLZZVQyKbQ4ZBK2GOUqSkF21I4UpRWpiobXWthv/XALOXV4M8alttLtwVJkrdej2qDVBdKn94w/2O8mhoD0rGtZy/hamxI2V33i2M0s7xGJUtNSpuG1FTZkd7EHAxCFTahpEdagEVXmrGSD1QdweoLN3tU5g6TBJdFbRRpe24r3xbOjps2IZIhWoWsEbhsNCxlej1BIm3bUO5S7xejsJHKIyI6oI0+ehLfsH9DwVrvnvI9NVcBxFxlwHAa8F0TWbDkWTUqQGacYvK147h+8F3gSVN+vS1Hgtd29YfPPVYC8chC87Ym6Yk1fttivkyMWIbDDoo4LCBwEb1EweKDfHPtnRyvBFBrHD9p3/LQpRUJX7Rm1L4VK7EtRY9DfjssEjrH9X3csq771zUpu3GbqKi8VdzBHpbCCLblJqW0iz3PPbFB+r0th5wGt2ttw1WU7cnUJHlnIpPYCV/W/yxqoI5E1DGykCdMvDXpEL+GJBj3lu+7BaD2jQqPOHorNkt4VtZ40ocpzaNRa4KEVdK99WxlfdlmHWgt8x+PqNtxXrdxaCzzECv21FXiILWVIXQUO7qCuwH003YAd/GFauqgWe5kwSUI2bMjNPobpTn00ix9XbWl8TZrDtChXMAIPtc8PFiBw2MY/4euGeZepYlLlemEYinC5qvkKk9epw5tSu5n7LBNXlTnBQwjVLauQbOceVeAQLPrwDdTcvNpQbLM+a/vFYha2p8Z3GZnA87ZVNsSs2R5cwn4rB5SVJtKxu8rwoOHcTlUrplc7oJH7ESKuNZytm8UKPG0me4DtNmhdqw8eTWh45LvbVOBMscMruoVQEPeQ7viTgMUUy/ANTJqmrVJi5t1ffeZy9EvFX/C8lOsYd4qh0yBxnOLGq+DM66eJcpJt/rzzXD0UHHooXMUV+eHWWu4hOTJoRIoramCKouW659hrNPkui14oW2ku2N7VpAWX40lsAFfNp8t6ApV1jLX2WKCJnc7kCZsSWMUGjvzsE+l7Ft6/i3KvAlNlL8piKdtt765zjCOPoct6bsqAjoXnL8m118GEuSorfy1r0XutzB6pAgJQgd3D3EtXrKqPPfyB8lWu6/aQIlSKjEk3IMAe2VaYAAGAMJZO6JfhPvLmoGmAbTuIvX984yuryg8OzvRMqLxJtUWvdaLHFaqBMmCTWXYdMAW2ZTaQu30vqVbn1ImH7zQfz31AWDLzcvzgJtvbKIG4TljV6QmkLHDaYqt0BlYBzEuZ0HWrPlSNbrsC3SbU8xj+edXbcVj228TUaqsT9c+NhS4rg/TjX9wxvbQyGPbbdF4zen5NhS4TNrh2824WIwPY2m8bJ8LYYFKha9l0WWzFdWEBDGw9NqsZitp0Ze+lrKO3o4KNa7Cw3ysY7rG1SwDei85AFs7zTYavnG5D+z3b7TRRDhCj+WBU6NIwwGvvuJ8UyzCw32MYiVI5qE4vDUtKA15QkJGHowqZpkDr9SHsDrPoqwwIeFFtF3oxsCznRQNdZ9xqRCDHXPW5d7asAy+GCp67XcfzSFyvMt+Q2+8JF1rN4nwdDdt1IsEfO3vb9e0HKImRT1FBO+8I4C1wwQi+b2p4E5gsWojIKu0OO+SjNW+O90gRY2pgcl0pbhy/5MiOM/Y71+ZRl614RVTe1z7nXz/87OL3n96QnabD2r2HUMJH17+49R//86fZF54dmUO5qCXBCLwILTsHcebdiscal+kRyIs+26brEqzAQ4bWWX+Clq8apUpB6O9sO3qBcwGm7hY9tJz/e60KExg7ScEL0KqCuzUsWdWs0gcArOgi3ZhLUNalgtNq3pP0vycDGJJLlujh/kWX6+dQqb2CU3dimirzempPXsYqPYc+V3e3p3YKTrtsTa8Dy4zNMlX4Rb+3dUv0Ck595vnUrhkdUPiZkCMkKkSn4NR/njM5upuw4jRV+Kj8+CgUnPrR83Uuch4ZYN0nY/DfQ954GKWr/6TUYbNElT1Iyx6cgrfavRmf9SoTqMxiZgNiEISC023ixbRQrA0r1KpXvulUqYLTkB636XuiNkz5TGcrUomCt9q9+RQFWXcsVFFHzauCJ8VO+FZ0LwqeFDvBwYuiO1Xw5GMnFHDqoztRcBoVuZiSmxKKQPLXbhdRF/QzVK12DxT7UlLuhAagK5da7R56oheaBW+1e3Dc6V2UiyXWOxNYSV4oFpxa7aTcEfNI84GQBn8By5pbWXCaBHU5uSNxAiVkoZsuW7ED6kdWVaeXA/jm4zZJXcYWvNXuwaGCq0m54wOKLEHJAaizzCo3lIcMSLkJ1a2r1P01wsiCp7h2nIAb8t6JUW6tPChkEniFyNPdTnNa4X0DaCs49bdTCmtkHD+4kRzaMyIcNBRxvxJ+V6tl3SpvWi5Kq927lpQ7PsBqlyk3tOyJQLmBXa12TytWrqzgVLlTOmtkXDj1MPnWY+UtVD62bJvhmSepLiqh5KIk5Y4TUG7dmqbQ2xfqTHvod26LkrsiVfDkc8fJ269sHWjvZQooOxR2Dyy6krMk69tTquApWhInsgWlKdCy4bV3bis1D/RIaXRFqOApEzBOYPPGpI+gCbA4hbLrtq3vEBBmJHIVnO5QXq161Al9TPxuDMC6gztTYXvxMd7JfpEkalW+a70w+b2Rytoxwn1PTm3KdkhlPd4cwbXga6RBt+BTXb8I+dEPNq7nr7+PutUD8B731/2OK4GB655SkbCmjceAD56K7sTLr89sc96P8QMaGwd/GzaHoOHmlf+9vwMaUNx8oPhQcYsrKXeEQOsubOUGJd43ezPU+HcZoMN9Be+7KNT3TkTIpIOY9/M/WY1RuTNYX5z1wb0XZUnggLFjyQI7lwHEtm0YVHB6Cj5FTiLkO8jKDcRquRl20b2cvgU3PjGRqBaPrXNjI9PpXMGdtApPuGeHJBXWhEfDOoBsSqbTuYKnbMFIwfa/Cd2VrAHgdvtvnp7Aw4X/XSOy8wsN2qUsESEurHedAN1OFjxRa5KCR4wrFyWC42rKJAWPFIieJBdFTlLwSIGSawk5oOBRda5d74DlhgMFLkN5kGhVB6BC7TAUHW+1e+tdb4Jmy0ND2SFiXznfkeehDJBvgy2nzR7/gOKCRd5M/81/hhqCVW62fFwPCw463Vfwy0nBzegr5uPDWU42/Ltl5OufY6QmFjwroJ8rOBwyfrna8VRDHmrLIxLFn9cbH9QnRPi1goMzHrsfDlYUlBIsKihpzBa0SiIpwiklb4HCpqItxFDFChR5z84NZHLPN6RFJRP61CSCcjr/H1ZDgi3TBjnPxw9uqkuWW9Dkh4gjp18jpXiqPphCm2CpoYBkstJ+qUHIeKDqbFF74DTyBf9jGgSrMmpCj5osMGfYHwbmfOqYL3kfEgXiv1DfIyl3NZy/HFTVWBOWiv01eU5tJeUjwCW5cHIsRT4q5P2wyiKbIC/dRnsSHvU9spOHN/u+ZYIBuqxFvsEzpVxdtttpzuVbnb7YM15+OhzCV1CvA3o5JvCJ3HovieqDl4Uo4Nj9NV+NXmH1zibwi5Lu0zlENwTWtUGH1bI2JkIFB3NPCwJ5K4Rfp5MkMQHuScQ7mONlL5bunFB/fAJ9SBakhwCfiN2TCVkfe+nWIA27TKEOyxLoDZPAA9Y2ETJVDAnyUNr7pg58MEoOjY8SOMDmToS1CIVNp4ooJ3fQCx7AGqENEM46dva203vALBGpZdPiTHzGYkJVuYnuoeNup7kYik8O3bxc/nGgg8Fr79wh+2bre2QVQq+RrWl2qrglLNrpefQGYxCeMRkhJqDgruLi+flHiC48/dKNrF1H3YhohlqlbQIv635QqVe9iFCyD101P4UHiJ0lIG331OHNlaUTwEP2/N+vZg8dRkJaJJmDSj3pRVgpOPm69UkQndmgVohsR1QXkRKAhYe+lD4aP8FDVnQlbBUcrDe4YIFzlO6qG2Ot4OS+Eoz63PUsI0vaOvUwmuLpKALssn6bHpd7dFtDKZcdNlkgigEKfCXbcPlSKSfEVsEnjt0MOfcEXJIneLkluqAoeE6r3ZsL5fAyuC1v/91WFEUHHzy0UJqNgkOE6NWff4o+JiQG2gDagnoGrNtpTtMF6HX/chkErOFTL97IoiC/sdyGhuNydSLQfYQVupBEU27iojYhTCvdTvOJUGLmoOh7Z29lVtg0of/AMxuywxh1AKx3gK4JxLbHMVySIs5O8ULMvNtpDrEnnKvmUYtDy889syGUr2FFYNYbFpFDurFtHZyf6KVuy3Sr3avs1D6E9g5YKmgdzisGZL0Xup2ml76s3o6s0y806VPRjx/cmBWttCHwBZkWAVhvb4qd470mA6PoTiMuELKzUW7YVAHfvS6VViu23tbxbFMqq6QDrgv10Q+42PaHuLLpNj64IxCBqVMZ4Qqs9ypdPA5VpdwkhA4PdDE6SsOLqOdA59+/a5Qsldc4rAuerfcSDfeNulw8qoK60YNFq93bT8tvoeyMwu7m0okxrdJvEFI88uYnjr+pOTobPR52LcFa7w9BoYsEWewvt+rUhTlq68LALuTEq7/XioNDTksdrLhD673KhPmCsNY8grTgImhi14yNZYckKdVWICFHUFQtOHKaASj1JD0XEAVRKTgL7dA8Y5KuCxGWc6+oPSOhJiWpKDhSxiCsi6ZNcrFDIFoFL9Jq9yapwn9T5f2qWYehppWqKLih9YY8ohmdY2EhUxsFL6Jq4R0qilNk49Z4MCHqMReqD21LbRW8CM1Z30//28e+LPPLQ7TiMgUXPJSgzIt1sc4qrBsFF9Fq9yDzcfdfPbWhfeZvNn+35H2Vj5VFpOC379679w8X//jRT//pzk+pMq/rRr/rXsFlnPvl3ektGxu7lv/z85F/+eCzPyeEPFnxkCBv+vLL+x/6csvI0H+98OxIZbuEMZAU3BG0rqPqSehrshJkCQMIIf8PPG6eWS+QRt8AAAAASUVORK5CYII=",x="data:image/png;base64,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",Z="data:image/png;base64,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",X="data:image/png;base64,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",n="data:image/png;base64,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",F="data:image/png;base64,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",h="data:image/png;base64,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",o="data:image/png;base64,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",u="data:image/png;base64,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",c="data:image/png;base64,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",E="data:image/png;base64,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",B="data:image/png;base64,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",p="data:image/png;base64,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",Y="data:image/png;base64,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",V="data:image/png;base64,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",R="data:image/png;base64,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",I="data:image/png;base64,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",v="data:image/png;base64,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",U="data:image/png;base64,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",W="data:image/png;base64,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",K="data:image/png;base64,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",b="data:image/png;base64,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",Q="data:image/png;base64,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",O="data:image/png;base64,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",M="data:image/png;base64,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",G="data:image/png;base64,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",x="data:image/png;base64,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",Z="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALAAAADMCAYAAAGkUBlyAAAeB0lEQVR4nO2dTWwex3nHRzJtxR8Syfi9JYqlQ2jrJBENLMA9SALkY03JFwdoAlEOe6jdRHIBVUZ6oAm0hp0cbEWu2wNhU7CB1odaoq8xIBKog8ZIIPkk50UBS4l9CmWK/raTWMV/9cxqdnZmd2ZnZneWnB9AkHzf5bzDZ5+dj2eeD3b9+nXjr+/+6I9LptfaNHod0Pfa6zczBRMzK9dVr+tQXm/Ts4rXStcre/yDn6/ZdFh9fY1MG72m7TFxuE7WeH84P9ikek/b8HB+cK5GApVU9diJTZky3/i3rjHGRj20uTycH+zPGrbVWxOCiaLU8HB+UPj+xuyY8nX+Hfz4oTsKv2cNT8ys7Nc1Dh6au5b/fnDyNoit8D5+Pv3GZ6Ue91TGuqenKWgv12POxMzKU8Kvs4yxOdPfh/ODm39rMLgb/246CLnR6rDpY2oqNUxjrJUUcL3cuK7H+PaO9No0fR8zub7d6V/DUerZpMnFpQdEx8TMyh7G2OXh/OCa14YhNf43JhcrtYKmKfl1fpOMrlcJniPfvKc0N0p5varHyp7p0F2vmpogwysTMyuXDRqF3OdUw65S3Ybzgx2MsXtMelwYKusa9kErKyEvEyqX92afjYptbcKg4qtRkYKM+Tj829N357/rVkDPPrq18D5WQ9qGOVtv35T/wdu/+1Phg/nDcPKlj7Pv7/7hz8oehxOF78UKI83gorDbJlVzhsnj8cTMCh7lafpVXgVhVbokNZlfU3q0LVZBpWGzk5VQsIZH5Bf4I2miLbhGd32p4SarIBU2U9OsarDSXd/e9K/DdpK16bFpB+QG14bzg9JCsiklpfCBqCgTMys+9v05tRLmEnvlxCj7IVl+6h4dUcqm15q2b6RrkNjee2+1eST5OGqk8Dbt16oEDTIwOk2Z9dUe4aGb060DjTtMnT7Ef6bFu9bUZoPN6Myxnjt4464rvSadZSEnu1BoRwky3cx22Lejw/nBgvyivLIKsuD0AVcdbh88zhh7LtbOCozzUaLUWXlMtJnvTeGf8ebFr9hjL3xk8pmrIyrTLr+YNyD+PDV3jS3OjuWvPfnyJ+yZo3flf4cNzn3bR9gHV79m37r7xjONTdH9995aahNgdsMst1d4H6ZilbmY0X5GXvEreezfPspeXpwtrmNef+uLfJeGTqKzvJMff37jkUBndZL7Nf3tr4WdXhXBbNyhEE3cVyLv65zSdM4iG95KM6Gp8VXegFZtQrFprTPS1rXRvqk/ENYdFsysyz66NDGz8rzN9VYdJt3GlmcnjiqteydAugnLyzGbZ6a2w2jswMkPrwvbZnxYrbXXhOH8ILMI0dh9na+1nToMzj/7Td5RH/0sIZ/AVmIxMuis/KWnf+3TrzOz/3//z+fGI4Fp+8Y6XLfXcsW0fe+GFHZD75fo+Gna4HIrglt+fBuLvU4c6Cy3tQvLSK8S8T7TTT94e/4zOu+bWrsEHYdeoF/Ha45F506/8dnsww9sYZf+8Be+Hh6vaR8T0HnD9qslzDt7+IEtfHBfrbqenvTlA0+u8gX/E1Ud4J01bT+jbkz9+9Nr+XGq6QrL5rp/+c9PrNqv1eFLmkMoX9i2X6fD4x9c/XpV3IN5HqbG3/7dn6zar5Qw9E9uwHY5WENhEWUiDFPrpWgAPMYYO+6pw6MssPUyOzn0MRkIbRi5pXCsOhxibTCcH1y0ub7JTHeA3RxDG0GLo0YP8PrfhHbNurLAd2n90Z6eqrw8ozIMyg+m6FSEIevlrjpWQ77s5M5KYxF3lonLzs3yC7HCVXUzLdJ7g9a3SrTC4BzC1KRviuSiwF49MVo4WtAcAq1px2H+B/iOzm6748ZuWDQrcQd++OEzwaF/L30wP6GHq5v8N1wQZ3/1ZfY7glrEz9Qwajxx/OYXd7Pv/eRqtveCNHgHn37tU/bi49vy3/Fhr9D73AcCe7Z//v6d+TWcXd8ZYbu232J1Z6xmOnSaCadCOJpa+OXn+fv4nUuPS5mr0pGDt+fXiBKEAGzOABtNzZC0ClF6vKPyuZzIpd//uXCNCcEcGgNxplfndKIDZm8IEjsTgoLjc+ydFvsm+z1v8uyf68qydnmpYmJmBd5U8loD/sBHaMuvO03irjdzmvenKTxA9f5SlYeBtQVeMI8e0DVc5zFFu+Z9adccI0067O34q4kxpkmH97Eb+mnkeqNCOKc+b/eXzQ7HwRNNOipxhdq0OrdupMPD+YGzjZgin5hp9BPH5BSpEF3teUY8zBg7K9y5RdGTVkXdKRJ8H0exXuWLdxerpYLMMC60P0WBKs06jBmNL8qxp6OjKesHpYJ9fHuF9ukg8j2XDhc89HRhTS5wBz5AjnmV7mjGTvscG4d94Pv6WglTAxjGDpt+uHQ4XvIBbtp+RhO/taqTzf9996v8ZPNvf3atkW9aq35rPxSyfJAT6Rmf7ffOwSOIC41vKnb1XuOcQhC1gPnGBD8f3HMbe/EftuXv/dWPr+b+1LqAhBiIfb+RCRce9qJwGcUzc+f1mA87erGhQxiDCmFhE60vvPMQQeuEIxWXHHZJAGWQmumMi0uEQf8nbd0jRJwELIV9Ft6DoxQCaohlV2duOfDMZ+whU/QfhwfCkqjxTfQyRIhRSJxd20fEE7d9Pj4nFPy8SwTHSUL/qzS8ElcBZ7cYY6Ts2oe8FkLOC6+LYd9AU2v6r7MX1+JjDBbddJV4epy9DxHMwJHF9XOccwjQBCC7Ze4Q7SC+4rV9olKMEH0MskxDwI/CF/a6Kk1ZF9DTEFy4LPQ6WNHpVc8mT2todyiGwa+FfLqCbzQUnT/flTMUrXnFFc1yaFtGWzu5A9LvXQ0VBYO+69rchN6dffaNJODAJAEHxmijIa9rExmw4O2pi0+siimo3aElCiiDQVUxEDGHFvSBgqB7k+apZ7wznB9ka33vmXYTOdmBLPfFvmzrx5Qw4gluTTMWbpXrf4jQmRBU/Q+q8BzVNYY8h/CH/U1cuOSYIQ7ctrgvm65jJjcJETQ8KEUEGRQ+WPmL9v26zxFzu4kKISbGFmvk8Nercr1V4T2nLBcucsJBEEyI+BEzecudRsogJLrD8Q2u2bW92DXEUvHs3zjO4cKV8g0oP0cWGkc+KsIptW3BojrwXxjVT7AFwjpw8sPsr3gMWFXGCNwMnkmQA8EsvPk5e/PCV5kfhCp6CW1DKHuFRxqpEUV0wxY0+OG//kYWc8YaVIMyYQQnEj7zQKIteJHKJXxwwmyTkgP/LITKPUYZPRX8puFzEHF4v5TrF+FmH31mviDCU4EbgINbPH2+55G+ZQ/tG+M8oOv5HmSK7Bvwl7smBqDt8BTQkLixXc6cEXWpQ31VkttolDyA6gL8us6T3Re0/mtWjicGjnIbhdqE/40E3BQpiR6rihbV4cOzR3TobtqGLenIKDBJwIFJAg5MWwIuWOtcop0dKUxMbRwyBBUwDk5Dx6HZQDe2kNU2tJCDCbhND0YbNFlQg3l+erUHC7WXv88Yu1d4K7qAQbEaHwHPz9dgFqY85F7i7pwFbPCIfRFrNKZCyI/wHyZmVrjrQn5C3AQnAVdF6bCbhvFvxOjhzsz7vxuHwkKSCyu8jMFyRVjOfduDVDn0jipKihVz0zc+cXcVcBY9hHM1xA5zcKKAuy9EYsr+wVbQBFTIbM3TEjuyyChKip+UMKH/Qiz0zqYf48UWUeFX4RSAKDsd4swOZ2jy6a7r8FNhnq1NG1NH7NH2WefkSHvh/fznWDPWpa1yYGLX4MIQgUnzwcnbsmyqwvgYdb7FvmQ8GaP0iOI46bQ+bYteCJjd3CXyCXMh1gwnMtELmKqlHNO87ZTLoQ2inuRqhAsuxJ7hPfatVi5cuDXBc5OVk2VckIPRYyJaDRYscwXhMvKu1G3PYyPmISLfAYrC5YgC7jrAvIq00QhMzALO8+jCP1jmoZsJl7o846vFl7FnSZH4yNj7paLdvHPc55iRcAVLnfNpSaj+M085e6oacPrn28gHFLL/zHWIkDv300fulGf30YmZlcYbAdpE6GyxzplKxP7DuA7Du6L/TsNPYw0WDTEwwvACQhwxeafvJHI+2hSfDpU51Jcp1EWD8/FJFi4TCo2zeJdR+SSqsjWff+am+4TLbtFFwJWHgNLaNdp1qo5vDQoVrRqPwy4CrhybpIiixslBA1JZs0FaGjaeRxoLWFzCiAeenKniOjVGi1d+iKrqv5i/vy7pRhWuxh5EJt2DyQyTAia7jz/7OotnE2ic9zEkENrEzAosRqO8/4i5Qzk28bTENTDIaZlGzhi5WQuLf0m4LFQkqScKfUNkqSTcM66VWZy3yrQQr/J7iDLAkY6hdA4lVygUy7kWthd7MNkC8mWD7GeAxXobSeAskevGOmXS1hHK2CMv4aJK0Ez15wqEEC4LmH0VGrwsvkZaHQtnpX4cDtWvYOZKxZAwWlcMqg1UxX9ckvjXEdoeLC/RYkhuJwdSjmuu80Lo/MEleyqlTugERcW9Ky6bCBPaONGYlH7vctlWWJY1daq2oY0EzbE6hiwbXONMOvQMTBJwYJKAA5MEHJgk4MAkAQcmCTgwtjl79tBpbNTlywKCuLppm92faZL8lAypjJFrVV1ar5RysZ7KMIaqKgQpOZ052tMQXea/lM/dHmVYWWkVkYTbmN0qR8eCgBX20oQdu2V7dy5gctBLlQjcKSwKRA22TpSfUCMe8GYCpvI6CX+MFgScahf5h094yRYRjt1oecTmlLeqwAizq5DSGaoqL3D4e+yFj0pFS1ToanLogAY75aRZDyAABkVLUF3GJ3DRQqmdRhsLVdEQjhjTxiir0+tvfZH9LL4HJ+1Fiu8Qa2RwUEeDp9aCa6wYfMgotgIBLBxehkf+HNTW4DUy8BrXYPT94ORthVod4v8jttHw6TzlfQyGUORAbYRHqQJNFoXgGWSUEh9N/CzkLcucu+X3ReEyClxBVioZXW0lRqECZ9783PbfNGWPVwEjcIQLBam3xNxpsjAYjWeZ1klO22IACtrANSLizUJZHTwhHF2SORU8al9XdMoHXvNFPEw1gRh1fu+J0ULZm73S5MInCwwNXDtxjVjqBq9jEhKHGfFmYXJilENCDL0SKTz2wutysSgMJb4JtkzDOMe/miBm3uNRmPLsLmo+H3tteFu4kfg8mxpIpngVsNhhPNboNIYKvI4v0yJM0w/eni2nEJCCNqakyY0LFuM2H07EwEdTxOUW5o4QjFAQixfDuihA+XGVgksqQV40xD0zzZp0am41n7jkz3nbspIWFADjMJ4S3KwmT0IFS9Bgr+mxpKSaGdA4VSxaFeLExeGajEdZ1mpGE55tTTgxD6ZuDHdgAevgVPU7EAgi3zycHyQje0D4JNeKr+wGI4sdTIWrA8FzTIjLtKTF/sgjX1Nte/8U8vzIG42gIU0bATmJUkHA5NQmRwUlDFHl9iltlcnPKgnZEl3ipDrnvzQm13OlKt6u0thDd+Vo+33uDTvrghmNHbApBcBC8rjMknXsN90BuySm22+RrksuHdwkj4/vNq4YGrow8V9smoC0raq0zln7ArThVKXGlOR4Epgk4MAkAQcmCTgwScCBSQIOzEYWcCvRqsEFrEpEFPozTWkjQVPoyuCl/JBtJCKqoPUETaE1WM4PeSrw51VCptiC44Sn4qtaQpZeV+WH7CxnmtAHOV140LE4pAbL+SGdSv96prW8mkEErMkPGU05HE1ezSB16bz5B0vmy1bzQzZkTjJfovgfN4Eu+PJ48lFq55BiOBCpPFKx+ByvhUpUbSoYd81t6Vpqp064IOaSkLIRX2aVlpqNcR0icuHCHZ+HCMAlVHALXY24JGR+KiL2/1//61MxMMap/401WIxvFjvHKPwpZGCJD8RdHPyCxf4jXk4VtNMElyEiF7Ac3MI7yVGtiSMg75NUVidDjGRyqcWUrGmBcRFwvtZVBbdgHOOEzJHuQN4nqe5SBg8PY45reJdaRrmAEaLKY9gYTXI+oyfFEsDCa04nwmKFF8R7iEoC5UC8hw+c1sGGyzSntWTNWlWZ6cmi7WmDXBlO/XetZXSuxsbgKtzC3x5+YIsc2LibyrM3gp7CqhoazhsNb44ntJfnM7PzVpMW+Jm5EwGHcqChr5KQQnviVv95X9UJWvHsaYKYL1MVjIiAQSFIvDK9YZfEvEyrtF/4KgkZmpgFXDnESCGv0dasi1nA+dJMznTCKNicE3GtjnjHYKbIAAv7BjRXWqMGqQPni6gFzOrXwV5szSGJ3hZBSzDVafTR2IXL+qDBfYHW0U8ZnlJDYZ4KXQlsI5AU2BHH+gHwgTkU04F730gK3BAacZUZl5H9B+nxcM6z9Y5NWWonLCwrsgm1Eo6zHkkK3AAyG16Q/xKnpKr8kSI4OvnBz9ZUKbgWh/ODDZ+l1ZZ04NmM0vEVDgLqlBfs2j6iS6A35XoEthFJCtyMkulZlVFXx7Y7NjVO55kokhS4GSXLs+gBUsevKU2qgpQe0JLo1sATMys76Fh6vzTSXaSvc12bn+io+7KclQSbt1f/aTRbJug4+dLH7OyvvlS9a1T5LzS0vt+vkf9SbO5ZUSgwuUTVOUHLXCETVCfncKTEF6sKa/HE0Qa5jJ8QXbjahpx2jll+7DtU17TTc9BOFbih4sqsUW6irhQZI9ZSwxxRnZ7TNlRcGch/R1ezYmcKPDGzgqloSn4dZUj+/fGtSl9zlBLBFKzJAn9UdKTtArIi/Adj7N6Kj5/z6fHWFAocLp0awhT4zKNbs42mDDLqwyFZI/8DXRzIdKLAuiLNiEBRKa6MFLok4uxj6krdrOLD/TNEH7F+h3lPpbgyUugVZ00R/B2crqwQJYM9wr1MlJdfqzFDpYMAM0r25mc1o64KRI1hfS8x2oUdu7dmNE2RlmSGasj7lkVv5KJpXdGVApd23FgSiMFfVaCAjkKAa8kpxpjSXuHp1z41Lt+l8tCmGK/W5d+JApMtsZTwFxWheE00uZhb5kPw87XsfY1ZKuY8CVFBm90zcp8QQYoqXir5Q7mhuGJZS4E1i+TRXunajOZiguJ8NZwfbDG7NDx92MRxdJtpSzo1BXqtkWoL2W7H6PRtoWHKstsoNqYzW2QfcVTeNXLI7+zwhdOpAnMoirkwBSl2tP/IGPsbTROjlK5oZyo3WI+hE/7fMcb+T/j9coyyjUKBVSg2BEsGJ3fvTcysdGJQ7wu6AwyBTk/WbOmVGY2cXerqKJ1vI8lyH6HE2FXKiyjZsT4txXpnB6YddF1W3OdcssqsN+B4RPsEreMRhTVFH4Us08uDDFoi7JQTg0scC50ovA+QpWe1xtJzpq8xeb09icOGgs7eq+pD7FPUk9gwUAK7UuyexFzMmUvq6H1EBk17VdXL7wmZ7D5WKHthXfbFwzE40buwLkKKaPornSwJdOJo0jF1o+pkpMlvrVhPMXGd+gL3jOWYM8rZkII6E70mKXCi1yQFTvSapMCJXpMUONFrkgInek2rDu1ki90hlMDwaZvFqdzuivffaanaw446n4MW+sBIFroo4WskD19cFuIRl9p0vfSuwOScPk1fVTcysbFYpLRgXu31Poom76B0o02zlCc2JnDEOu6q0I0UmPKCnWsYApRIqGiUH85KgQ3LWyYSLrxDue6M9itGCpwUN9EBRopcqcCewt4TCRcqa4doFdixfFQi4RtlyWblQQZFMSTlTcTEBVWwbkmBDYL/EomueI5SK+QUlhA08iblTcROnsw8H4EpDD0pb6IPvEwHaDcUmKwNrrUSEok2yQ49eGqpIJlshvODxn+LVJ+m+WoT1bx6YtS6sCJKgaEeCadJGxykw0VqXM+gsukersC9sjigDpuYDv/9q1/rMrYbgdIG36aU+ciLe6mc/1bLXumm2vYF/4dcV871weVt4v+Q8/yagtK5+Drw5KqTbANzaNN3f/RHZeHqUKhGZSRNrgI3A3WIFXUZSqAq/JMvfVy4caipgS8RjAq7vjOSFTfRoSomA+VAFR9U86kDCbtVWedRY+LIwduNJKxqQ/X/oOgKHqb7hIeBz2Kq0VM1w70xO1b4e0byfOyFj5R9U/WjogBPCJY3V/iMRgGKjyzOjimVV1WnAYr1m1/czQ5OVisYbmiV8jK6QXIB78XZ8ZLyYrrFl9yfZ47elfWfAwXDA2yqvLyN356+u7YADtqUlc+WrXeUZXzp9+azURdEm16VUQFtTGMiUJIDJz8svAbFeOVE8bT7xce3VY7sSJMv13rASI+HRQTKilEXIzq+qx4kFEjhNezk5Y2I3EdGtSlQf01EHqGzErYnRkv/twxGy9OLnxktgVR9kcEs1eJo2oioFVilLHjNdHMIxdatJ3954avSa7jxuGnydAulRDtQ4qm5a+zZR+8qjHaqqRQPyMmXPsmVSV4rM1IQWXkZ1WGTR+m65ZOvqRsDBJYssSsuJ2oFVlG1JmuDS9LIDeXee9+t2UgtKv59NJrzkf59xXIH12NpIG+S6pY/PsAaGA+kPOPgQYmlhJYJI0hVWreJ6gqMAlhGiKMPFAVrQowSmLZVywwWaDMBxcLSRARlV/FAYSSFMmIjJK6t+boSSor+yCM1qpMyGo2x9NCtY7GZ8w0eRlgZ5D5j3b1r+y3ZTBA5S1wz2go0tAbrPmyQRCBsTLFYx8nKC4XCNB9iCsQDIysS+oJ+YFkDZRQVAX15UrClok/om6rW8P2SBYGDEfx7P7lqXEPPFjxYkLHcJ8j3VYN1cscscYk1rRBkjabGWyXYHOELIxRGXNkKgCkPa1TdTcb78ufqpknVBkg0yeEz8IW+HJzcko3K2yRrBpY5uEZlg0X7qMXGaER/cHJLaX2La15/60vtZszm/zH5n/Az+gSLi/y/YEOpG4lt++EZlENYyp15JmZWLtaEpScSMZE59IiPfiqUnegLiyVvNEpEcTjdwkTkXBFDjEohRZQ953y6i4kIuSJXUipZx4UKQIlETCyqyoDVRSXXVXVMJNpAW321Ni9ECq1PdEhtJXzjzDxJkRMtUqu4HOvcaJQXbSnZjBMBsM6P5pSdkiwWzydlTjhwCtlNmxYY95YfmEbmQ5RqNUU3J3SgIOWCblNmS/AM7VSvFyP1nmTR2DCgfvVFWmqeC5mtvdUSAyExOIDRmmJ8QpljZnVNDucH1XFMnqgxgS73tTq9TCrykug1SYETvSYpcKLXJAVO9JqkwIlekxQ40WvWkwJHnWEoMtaNrNaFAtNhydmay1opfRoRpXoSArspmXnv6b0C08FBnfIebqt2bywM5wfHa9Il3INyEuQC0Ft6rcBUSUl76kXsHM4PzrXWqYig07YzFT2Ca+wqz3beR3qrwHRUWpXXGBmVxzfayCtDfrVzNZe9R8uw3tFLBab1W5VjEIL/xpq66K03hvODpwwizs/KFYD6QK8UGFOdQRmwZVXw30aHllGTNWKYpWVZb+iNApO32Xs1IU2n1ouXVQio0uU4La90HKHlWS+IJr0q7YaP01eTuLtG5fo3GrSsGqupCbhvYmZF52e7TBEUUSh55wrsqRJ+K76+6wkssxqmTcD15yklr1FF+ZB0psBkurmoG22RsRHZH5EFEnUakH1SlZaUOE7e/wlz+VdGyCDVK7LK18h/N5nhTpHduXU6UWBaLrwnvw6lRREVXY0JRulNFcmeUTPsXFVZ/kRB/jtUlamgtMgJ3ED+x3BPTUPhfdLVJq5krkHO3/PPfrNSeIwKv/Cs5hJTtNFL1FPaKyBRODK1m8hfLktAHOniQKQrBd4jv2BTFwKp/DVVI5MCm1HSQCimKagLopH/hlHgkqPJwpvmKfSRFl+T6T2tg80obbpsShjwak4KWj/17HIJUbBFvkup9+tKo0LQKEyi4EyyRBhT2nChDgmqKdXJH8VspuaURodTXRzbdxZWTxu5y1VWCExT3x7cku2AsROusEIsdrmBo7X3OUv79SJjbLorE5SJFUiUf01tk86sEJ3nhXC0AyOBxiE6YWodTzbsTm2pjv9D53bgaBKbCCdx03W+DjGcBJHPQMkbDmW2UO1HrsyJqRlltlCUW8POLj3nLE5CMXM8H8tybd1k5mkT3agF89Iug4LbKIyIUlwSa/Cg67NcuiAFdTajZLD/6SN3GikvwAitqH08muzY9iQFTvSapMDNKIUoPf3ap9rKmjKoOqqoaLmWzID2pDVwQ3SbOCwNnnl0q3IThw1cRQ3n5FHXgKTADqwHM1rfSQrsAQqIXLA8yFgmG3ZSXAeSAgeArAmyRQE23qWNHiXtFcbY/wNJEVDXdGI+6QAAAABJRU5ErkJggg==",X="data:image/png;base64,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",F="data:image/png;base64,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",n="data:image/png;base64,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",h="data:image/png;base64,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",o="data:image/png;base64,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",u="data:image/png;base64,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",E="data:image/png;base64,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",c="data:image/png;base64,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",B="data:image/png;base64,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",p="data:image/png;base64,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",Y="data:image/png;base64,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",V="data:image/png;base64,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",R="data:image/png;base64,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",I="data:image/png;base64,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",U="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMAAAACbCAYAAAFDkqSlAAAACXBIWXMAAC4jAAAuIwF4pT92AAAYkUlEQVR4nO2df4xc1XXH3653bS/peu0yiUTIeGAixiEost0gSpsgexv4KxG4+adEUAHSIKXNDwwSoW2kgCO1SktV06CSSkyLUYiS/lNj1EiRcDGobeQgUm/+QISJwNiERGqG2MaJ7V2v19V5+974zZ373v3ee899776Z95GsXc/OzPtx37n33HO/95yJixcvBihX/+H9P5j+6FcP09u7ndojyMfgA9Qbzf4bZ255OYgOMqH63CR8+hJa7d5GlgMkz544+/wN8a8nrA9QbzRfjH+Pbw1xcfl0+LPV7mXeY+QKdiS/fN2N3wl/njv0KeCjigOItyb8wOw1/d/jW5V1FVAbJJ6agf8jpB5APPvf3zItfZ/qKpRXEJ/tj14/L309Savduwo6QHz2a697OPPgE1OzA1cRBMFR5QHqjebJ+Pc1H/x05gHWz/9n//cLv/iP8Kd4q2RXMBdoNGT8vqVXvy79+8ABZI9lknfeXck8mKzBpW2QdvbzD/1a+nrW1fYPoDp7ekxjO8hCvIqwu643mlfFT4COEYnEX574jvn4CoYeLxsSj+2hqXqjOTAyJf7IwuTbx96Ehj5TtMbkVrsXngw6HgcmY7LOeByYDJnIGKB1gOgRltJq9/ZZHyB+hNffdCCY3PTx8IXEk3aX1QGSt2Zi/RXBuuu/1f/b0sKD4U+OQX/AuuPfL/zqJeSj+JBJ/dCPH7984D0sg37y7GdnJoZeU5E5ZMZDYhbag3690dwd/54cErOuLKbV7r0ovia7gr1pXyAy/eF7w1cSj+2OzAOoBh2Rqea9/VfOHfqj8Kd4q6ZkH0y5fOlB6L10BReXfyP9OzxkIkCDftq9JztIG5Oz2isek8MjrvnAjmDt1ketzj4QuvTJ5ATD9MsDcXJy9pfhz1a7tzDxoc1XW9/7rANaTQLTSExStmuNyQiRl9J3yyUPwKlup6acnaKwXkCaKZHBx71KDOozqGC7AKQfEFuD4yJYnlHpZDpyP5KITi/qWGVh3QKyk0/eaZmnztkSVhegOvkY5CIoltbt1N7SPQejR6jeaO4UT35q8+dShxzwoo4ibrSIdgvUG026S43ka+vnXwgmpn6n///kmJr0EigMEMcaYsiTFu1F55HSaoHorg+cPN3d5Mlnsfa6r4UXm2TxlT8LFg/fMfCajnHDF4A+7yroYsXPrZz+mXEPZRSONT151edNLgKZu7KffNb36F5E1sRvo3jyEzNXaJ383/zbb5XvQS+i1e5tk31e2gvVG8194sR93fX/HExu+j3oxE0499+39f3kGJoWCnPPl7qd2s7MC+B4ZNK6URUrJ/43WHzl8wPvUjmCymkl1/OOQC0sHm/5zScz7aLfAkWfvAjqQw1MKsuAeBGTWSG+MsA+pQwiZ2/dDf+ya3LuYycTL7/Y7dSGgke2uJgTD3yhi1lYEtaoQeSpDrByujvwf45ZWBLusEdDfGHx8J3MhxiE7QKyejIbd1mFk8CTCLnLIq12b5c3F4CMI5KBaT/Hsa0vIBmT16XV7mlP4kU4WmCv+AJ1neBEfsjodbG6gKSIIHnyMaIXGSQEBDG2Bm3bAnNZf0wugsSkCRRMMb4A1HuVvRav6MTYtIJpYGsoPE7TTRTZilGr3bs7twuQicPWf/JA6ptBg37K5ES0L6DeaD4mvkbz5SSyFS+khVrt3lCnoMKkBe4TX0hO9pMnnvxd1kKSVsjsFGSYhBYH0Jl2rt02vMp3/o0nB/6va9C5+EIxa94/tFYdTtptyD02yhVSjEFjo8PiQckSksjLgjBRh1a7B/lYaAsMqceSCpk0RGVlDNitDvlYMrS0vDGkIUI4eGQp/cCSFhRDi0i3CmuFk5BGKY3kY/Pa28up75O1IMVHBZTdqrYWWWW4aY+NDFlLxoKtGBbhlg46hitrSVQQFgMLwwKw29RpgbTv1OlW03RhO8XXZJOTNA4uLAW37dF2azKJxZ8iaQscuUeqTVf0ZcK5oYm2uDTqgjUf/MzQt66c+PHA/2XdquwRGppoo+vAQcKVpn9fuvUy+HO0hixCa8gCQ92q0xUanQsIUlr63H8Njg3IboI+iLhT5PTZS9//5//0ntZnZS198dwvh15L7kfycolJx6DDFhDV+AGwG8UlSMvH3Wr8CA2drU6UgZ3p4UdJ0irhOZPu8qTJXLQIqKcSuttTk2U5+UAe1ZvLdU7sgFOlWidOXej2nSiYNhSPkohBRIbEIb7hfQOonm4avAFfc97FGjsH3jZAFMBXbpCOAZyef+x2asarea7wsgHqjeYukzVYoBGOdTs1r6Q53jWATGyoAzAusKtlbPCqAaIlZ2u/UqYlF/GlEbxpAG5Xcmrz7cH0lgcy3+NDI3jRAOjNj/t4WiEXl/llUNQYWMTY1O3UeAOgGhQ+E0NuPvXpyQFWtnlCBsWSgDwHJ7hUYyYU1gD1RnMbcvMp+JC2KRuNtwGNsN9k4xQHhXRB4j7XNEiQIFvTF6GURHHeoyx8dFNzb4B6o7kQBMFW1fvEHXUqaAFBXAWRfu8nDyhjpXkOzrk2gO5gq8uFX3w/WHp1j/JT01vuD/d7ZpFXI+TWAK5vfgwNvOJKlAwSlonqOJE8GiGXBrC9+WlJMmhv4L7nz0r/hmR5AgN5RluzUZx6QbINmDJo1pp289MS3BF/9SfvS/0b5KYu/wZpqKOmKlwEZw1QbzTvRqKZJBrJkqtliaRUMLqpT7XavWeNTyQDJw1QbzSfRaTPlNlSpshP8t4Zuy4y3OIPrBCvZi3KdGVvM1FCq2BvgCigphwF6cYkM3+6hFxPRJ5F8wmFKzvn9ba9qL9XRjO5FCM6akKyNJXXE0TzCZUr6+WuvbzczCSPP3dG6/3keiJSOZpPqFxZrkbIbdehbvqJJD9NGYh15agBcyAvSm1hFbqw3bM3lFFIRhhQy9jPpOL5DL27KYwe0tE0+S2CzZY9Ough1fsooCYTf+pgs+Uji9UkSHh+zQwelqXFRDDdcriARDOpv0WimSpkXU1at6QLhbopm6SK0E09O6xVTbDDxE01yQWW+2BLHPrb3w2uvPzS86KTHAcBDeTJkuqI6MSQtBqgqJufF0UE8oxqY6R+2dRsZkrhssAYyFOuNysbIJkJPwsKqCFbEE0RI6L7f7gYPPSv6lUwU9Cc+YC1Z8oiMxsgCqgpYzrUJ6piOjZk1VHgHguSMDbCnrTyAFl79aCAGsk+XN78IlmNV7WUZwAE8lLd1LStepBCLc/B9pkH54IbEmsDtAUqa0MyJ7SxX8xOIINyl6tcWnFwhnIpyiirp2OKLM+jDCoFpNrhpZULUsa43fwgcj2RkLZuIC/e4qOlxa/AAB7UTbRNr7r5DlE1AnVB3u0aGSec19QaZwD3fNOAFxRlRHykTJtvfYPWuddu/fssIcDAXrVSbFMNLm3a2zV97V/unPrQH2cJpehvzxap+dehLPuEh8u/zF7TL9iagVNVGwel3icMNkKhO2BUeJ2rQJY3LQnlSAb2BXjtYvueLEK5VojUi0ZTARaBtw0gy5KchpgdWQKUyrAIvGwA2j+m4woj2Z1NVQuu8dUCjuh+QMy6KMFenuEA7xpAlsALAcka6ULdbIuPFmCcLg3YvD1nKyXkxqsGULmdKmjHi0I8FXBXw7fFmwaIQg3W/bQkjfAQNlpObnyyALYJ0/Lx76reUlxWSAEvGkCWcNiG86+r3X5f3FJfLECpsg7C2I9aIhIDLKB74Zb6kC1lqLyIDNJirrvxGXjTHakYVPjglvpgAUPpKGUkS6agmz1At1RavDUvCm0AWbpzGTIRrCxluQi5pUACD+1ZNydF5gsit1NZF41Ev7KsKeiuG0ka9iGKdEuLtADI7cxSXMsKHMkAZIWFuaWFNECkulaiUqKh25+Qok1FuaVFWQBUwQ1RXaMlMsQSqRJ2JGsT5EXuDRAlZlUCrPWG0PgAuaXY8mXuC/hFWIAyKy5tddLJI4G7pcrlS3JLc822nmsDoMuMJvvM0FpJgFsKzcq5yK0Bor1m6gJnQK0+GeguHd/c0jwtAIrD22z0Q7KhBOEasnI/cG5uaS4NgFbhtq0dROEKJPUAbaJQ0Wr3FqxOBqQUSfs++4n1wTfuGZwNp+0RK1teaecWgC4zpt2MK2trhm4+8cQXNkjfT24pMo7Qrnhg+dK5qi6PLkg5XSU/Pq3SKe2O1AUdR8DlS6duqeu0lZjbmeHHJxN0iNy8fW3q31C3FFDVOXVLXaat3Im4nUhYOY1r61Opf0PdUlBV58wtdWkB0JNjm8wpC7QCNaCqc+aWusobCj0xaDjZFBpXILcUU9U5cUtdWQD0xNhm00Ky6qJhDcB13eoiWuoicSv0pKBh5Kx8cafBrLpISjJQVcfulnInbt2IFGcI3U6N4gxpoGkrKYkGQhFuKbcFQE+ITgpLk9ygMtAwB7B8yeqWcmbOhZ4MnRL7gVCl2wbKYoIALl9CWiYETguAngzd5E6vHedJTxlouKWAqg7SMiFwpS6G1W26/PzdFY5TDAndUlBVp1q+bLV7LMuXXBagfCLCZcaEug3lnd4FplNcBR1/FtXpKxscbql1A6DqtnWg+ecBo6rO2i21Td59lY26zQabfNLMqjort9TWApwvM6ZhU1sm0BiPXLulNtnTWdRtptjWlkHHI9AtNa5DaWMBbOo2EzhS2qPhECCftHEFcNP09VBJJ9TvNoFjhhwuXwK7bsLlS0duqakFKB8JcjvTlhl14ZoNy6BdNwiAqs7ILdVuAJfqtjTSyhVyAS9f/p9y3UDbLdVqAFTdhoR/dRCrJXGXNIGXL3+iXDkLdKtz61oA5Hai4V8d/vTRU8E7766EaevvfPQU+/czqur26xxXp4DDbiTvDoV90cijbzBW5n6626lBbrqOBUBJj8p68wOd5UtGtxRqAFt1W5ngUtWhbqmyAdAkGlnqtjLBqKprIKlxEAvA9vJaVMpTcfctM2EZk+S/DZe5qzY+veUB6H2Aqk5deyfrj3mo21RQRW1Z5exXvnm5s2NObb4deh+oqsscjFUWULi67dsZ4twsbagtjMuXmTGzrCI+kLrNZJmRiyxtqC2oqg5MCpIaLc2yAEjHYbLMqENWHMhVkc8YRlVdqlsqbQBudZsNt+5JDz1xaYayQFV1K6e7me9Jc0uHGgBVt1EYl3uZUQYtys//xWCMi0ISLgu4JUHDKouH71S9ReqWVmWsAFxWWhXLWDlRt5UdZlXdgFsqdkFO1G2jAJwURNMt7TcAmkTDdCd72UHHO1BV11/STVoAFMEDxEojCXk6KICqrv+GuJLeW4jAqgKHgnqK3uJUt1PbSJX0oILNFfogpQzXbJjbVJUxdMTkzBUq2cuM7zVkSs2yOly9rWqAYlmoGsAhQBzpEWqA7WW+SJ+Z2vy5rLM7RqlwqJoqRT6fHvebxY0ilE0uaBiYC7ugt4+9SfGJTUEQqPfsV2RCy5lhhnf5Yg7d3+3k/8cvlKaaahmIgpm708TLlIqTuiXLNXRqxH3dTs14T0LFJSoDYCCKY2rt0aDYHiUHRnbNZkAa2Z3dTi2X/IKjSGUAFkRifasoGrKGBnCg26lpieIrVqkMwJDI3WFJm0LrnbYZa6NZnVc1GstAZQAGoBtVdCBxG4PCkFyiq3yun+8blQFoYuLvo5AUdd0fPAPJURVc3e3Uci8EUkYqA9Ag2qTltPok0+SYmO92al5W0PeJygAAIqXyQp6aHUDPgnB/t1Njyyw4ilRrwQqiSE/ugjXK0gVs/lOxlzO15ihSjQAZcEZ6TGEKk77U7dRyrUtXFioDSCHKhAclY3MNU4SoCpNKqAxAQrQxurDKzjLAYmcqqjCpQGUAAlEWSHX1hgIII0Q3HeAIk26v5BOrVJPgBFFSAC8f/qBfGvNTyo34AEd08wmOKtUIcCnM+RaSDQmBemiqihanLqEH9/yre5BMozCUNIEhIeiebqeWW7lqHxl7A+AQtCWhhzItoweaZAKFKUIE59QcRcbaALjDnPQwqvJmUOoCIH8EDJOQbmzDpGNrANyRHp0MzeQSUfoIJCsyQhUmNWcsDYBb0EYPn0mqQsq1C9RrhWAS0lGYdNs4CenGzgA4BW30sIUPnUWCbJI8cCZconzRlZAOZ2wMgFvQRg9ZqNpkSNN5/vW9wfLx73KcVgiTkO6ecdh3PBbrANyCNnq4wp6WKUft9Jb74ez4CExCuqda7d7Ih0hHfgTgjvRQRgdXifm5I0SUIoTBsEY6TDrSBsAtaEPCnLZQJSCgHBMMU4RoZMOkI2sA3GFO00iPCdxhUiYh3bEoQjRSQrqRNABuQRs9PEWUQqPaDwy6nxAmId3IhUlHzgA4042HYc6b+Ca7JlChXE4NEZWpRmqFKxiZMOnIGAC3oI0eErSmeZIra2uCL996WVhJbnbmUk0Yqrl18MhS8M3nzoTVh3Sg+ifn31DXQEFhEtKNRJh0JAwgT0FbGp/9xPrgG/dgIwUZw/xDvw7eO4Pfe0+FdKVXk5beAOqN5i7dUu1ZmER6vnr7+4K7bp7R+sxP317OLAQoY+X0z4LFw3dofSYLJiFdqdMylnohLIr0sD389DCYhDl1H37iI/WpsBqyDpRdmiqWMewIC6FRhWHd4bZWu1fa3WWlNYBI0MYa5kTVnEl0H+IkNxh8libkVHyAQe8TQotvVG/XMuS6tdXunWy1exuB93pFKQ0gErSxqDmpN6UwZ14xfi5IisFVNjLeammpTKXgwwlZSV6fKZUBUKQnCnPyqDlnrljtTS1i/HkU7U6DRG+KOkBakDybQZl6tNXulWbVuDQG4ErQVnZcCOkYlKmHxLLUvlIKA4gEbUe5YvwkaKPekwuK6JjwMtPoQaI3Br1PH5Jnn3/9H2y/phRqUu8NIBK08e3b3fIAu5pTJ56f5DVDw5FBcxgGvU+f5ePf44gQPdxq97xeMfbaAKIwJ5uak3pJ6i25MZ0HmBpOGqHojTFMGkaI7JWpO1rtnrfaIW8NIIr0sIU5fYv0cLk/InGYlEHvExLKs+3DpA1fw6ReGgBrpIfCnNQrOlRzmjzMrqNHpGOyLMfahykjnZdhUq8MIApznmSL9My2VsOcBao50yA9kGtorsOg9+lD8mwGZapXYVJvDKDeaG6jHoIt0vOBHUZqThNMevPXjvNNgLMgaQelaeSC5NkMylQKk+52d9U4XhhAJGg7wvV91OvpqjnzJs8FtDXv3xFmsOCC5NkMylQvqtcUbgC+CNps0ZkHvPPuSu7n56mQ7r6iw6SFGoAvgra80d0Qw4WnQrpCw6SFGQC7oG3+hULDnDouTZH6ocBPIV1hYdLcDcCZoK3gSI9OVIdzBdgUD4V0cZh0G9tJAeRqAJGg7cQoCtp0ojqnmVeATfFUSJdr9ZrcDCAhaGOBei9OQZstZXKBkngqpNufl5AuFwNwIWij3ss3kEjQwYUl787bYyGd86wTzg2g3mg+VgZBGwePP3dG+S1//b3fennungrp7nIdJnWaFYIzF39QYIY2HSgf0BNf2DD0CZok3/l3p7yYAKvgrFnAlJHOWfUaZwYwahnaxo2lV7/OkWK9D0NGOidFvtkNwJcMbRX2sGeku+5rHApV1rSMrAYQCdrYND0uc/FXYFz41UvB0sKDbHeLKSMdW1pGNgPwIUNbhRs8zUjHkpaRxQCKLDnqG3FyXEp6deXlq0E2Er9RiPTf/+ecV2sAOrCXdp29hkOhal29xtoA2EuO3vid8OaUjS/deln4D8EkL6gvsJZ25YkQWVWvsTIA9pKjJY30PPHFDcHN29ZqfcYkQ7QveFja1bh6jdFCWGLr4kgJ2ky4tj6l/fATVDvAJKmuD3gopKNw+1sm+421DSAhaOMJc5Y8Q9t7Oezt9RGSojBMZPswCOnmTPYbaxnAqAvaTKDNLft/uKj9SZoYI9IJn6FAhYdCOq20jPAcoN5o0ibmvTZnloQEbb5qekwgV+iZr8wNlEVK4+mDZ73VBJngaWlXKEwKGUAkaLvP9oxi8iw5WgQUCr1FqBFGYdCyhkARwjDp4Tv4IkQ8pV2V1WuUBjCOgrYKczwU0v2k26ml7jLLNIBK0FZhAruQ7vpv2e5hThXSSQ2AW9AWhjlHIBd/BQ5NaBm2R/ZhEtJdLRb5HooCcWdoC6Lev2K8mJjmHelpVGFQpg6FSQdGgGjrItvurYEDTc0GU43b2dJxVPgJaYWW33jSNpFuKpTljiHVY19N2jcAbkFbRYUrmIR0YZg0NABuQVtFhWtWs9y9YHuUeyYjHX/18FeUClp3YEjQezdNgnPNxFVRwQXHottkFO6sqCgdDNHFffEcgHW1t6LCNQyrxJcmwUEVBaooEZZRIFoV3tnt1BYC2UpwtBbwGOdCWEUFB6Qenvrwvaa9PkkRdg+sBAdB8P9ljNX/a3xRCwAAAABJRU5ErkJggg==",v="data:image/png;base64,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",W="data:image/png;base64,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",K="data:image/png;base64,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",N="data:image/png;base64,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",Q="data:image/png;base64,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",O="data:image/png;base64,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",M="data:image/png;base64,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",G="data:image/png;base64,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",x="data:image/png;base64,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",Z="data:image/png;base64,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",X="data:image/png;base64,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",F="data:image/png;base64,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",n="data:image/png;base64,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",h="data:image/png;base64,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",o="data:image/png;base64,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",u="data:image/png;base64,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",E="data:image/png;base64,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",c="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALcAAAC3CAYAAAEnaf8JAAAACXBIWXMAAC4jAAAuIwF4pT92AAAR60lEQVR4nO2dTYwUxxXHiwUHYwIsoW8OCT5kAicW2Yol52BWWl8B5xIOWOySOTmG4IMDCgfYA5GJD9kYx6cW7CocyAUWrkYyHGwplq3ACbtPdhyfMhuzgMGOP4j+Tfe4p6c/qrqrql/1vJ+0Moadmuo3b6pevXofKx48eCCSdLq9E6I6Hwe+Nx+/uj94p9t7UGPQIQLfWxEOrnvgmDETg8as+Nlv/mNk1sL0zHMHD3wv/PnVLx/NfXH8O8f2rs3891yx4EUqdLo9+ZmrsHDlfuZvaxl8/9Qa+cFVRZKHNm05uOuxob/TNniW3LUNfvvesNJlDp6lVlXInbnKG+T97tCXKNaU+AXbNq8Sl46PV5rA0MyTg4Kbn35TaWCwKu+FOnQdM79RdWZlSO1EWU8h8+Ym1/NL4eDYTDUPfCPwvT0DpkWn25sQQuypOmLgewNmiZHdP5bEWKfb26JzYJGwgVq4+xsdPDYbiij7ncy15emfPzLwJlpn/o+Pvq48YOngqrPN2pxzB1fF6OB5jPjgeRtHbbvlw5wNXOSZFsnB89Ty6Nm74sI7Xxa+caZpkRww7ynKBhZ5X3+hyYzOlflnS9/VHjx35pNH/tv/c8WnuDRmYOcPwe5vxLSIx8vyWsCk/Vznm2kAdtBEchhjHhFT9E0ilyYtUuYWLMfjzU9JjTEXJy2q7HAyFp4Kl4+PVxpP2TLXOek0Kru2UWvIJEoTzzM0SU/87VM/Mj5xFTWUnvjjm+xoVew6KoOcjk/t+IHU75Gb+OnL96R+T3riuhyjulCSuMnJX3z3K6XxK7uGdG1EVYUhNXGZ01z697LAbcDJ819UmmgaKVXBZJ86tNSfXNJxJDtpUXDDUwXrtoqu7wlW+0lsjHXf2KTxlQVOy1etvqMGcHxLnsQ3ujJpkXR+BL53CzovHqrDtBDibJMTTJLl4hhyTySpGWBRl/nA9z7OGyPLrwLJb2hwwkOUSpy4m2LAKdTfgBzwrWzvdHvX4/9xzSG0Pf4DLvd2NjsXNWIhj6nsmpRw0j2BK2BX/SrTo+EQokQlp+epA+u0PAJ8KFWdqHLel4j4DZ5/ZnX4IyoeDPDg8eurojTxvIfBHZ0tT1eMlnezPWkxUl9OKpCZ+PrH1O5xpSf+welNVeYjzfuvq40vPfF1a4xcnQ9QFE2dRmrij3srNU8xm1dnfij9u1ITP6UwoC2kJv6LDF+hExOniNTE4XSnhtTEj5y54+bEbfHHv8s7/UlNfP6t7LyRLEbj1s0kqoIhcV1YZVxlieNNJo/qCZJ776OvKwuj8OiG6J2tUVBA8g0+633b//83X1ovpibk7t/D1y59NxAxWZXSWzcYWG+/unFo8mlkTuoaVW22VFUg3RdeWw7/XPdmTZdbQ8jqeDLYPmvyWRe2WdR1SSSRdk/snr3VT8iyfaeZhfSqkpfs1RTK63h8p980yp4spCymV4dzr2ywethAQpa7BwlTke8GCddm5yQe+F64tJnKNDRCcp59iVOffHp+Y+l/JPgAk8rRE2k63d4iNlGDk3SRvwS+d1h23mXhKixgdWaSdVDSZArcpeQawizHO06SdHjQ9WRACKOFGSuVf5gB+rFkzuXnOQpi4OZEFEY20cYnJMjvRKThc6MuCVsgyhoCf3Y0HpcEzoYbOgsL3DK1Y/aKKAoqlClBYoqiyyq4oLMK0OnCaLEplduKrAdFeBOyaHE9UxZOhRs8XDniQ0zXVsLr//aKfI6KwZvzWWMarhqBpxr4lgYBpskwX6rwGm4ZYwI3uQ66jFEN11GkyjbYzE1iTODYMJsI3K8LwnlNhiZolwg2SwqxFHUx9QzaBV7X2qCECaFrFTilQkhUYYGXIBsTJwvb4SXoDs7SKvD3NJUrpoTuZ9Iq8AsEs1TqoqvmdYxegTfk/XMJ7Wt4XsMUFzHhNdQucNRFc/FInyZORdCNESsFmSVXrv/PyIRtgJQg3Wt3jDGz8MU3bpNLgSsD1fXDyvC9b429h9ErNpFYB20nHKjw4l9viyv/tPONrCXwpBCxbkOr8/Jq9iXWROSZ4bVNeRORiquS1aqT2neaeReydZaTZOJfVYguZ7PaLpHhlk17CnFK26e42+PiWKXERBEEhV6erSlLnCh25/73nx+WG7g4VS6UdQlbEMlxTKN903zy4NLQgyY1P2uD0qnV1DFipUDTUW8/a1N887frHRdZPYyZCTj8QPBFnaNGEWj4Aop+m3r2XbO3hv4OhQCT63p8qqNsq2ticVXge9Odbs+YwLOglgNvi8D3rsdLykz7H7dZBnpwRVlWL4+uOIzTP8UlC9Aj9WSOE6z0UpizLhxrW0CZvPz/TDs81W4BeeR/HmHZqfBEUXcFIXPwiZea5N9FFevR92JiBDOXrwkh0HllEVaH6ouVqkkkiYTuVKsATVyt2upGWtjUurgQ4RO0yJfV8lJhR51mnGwiapnJMo3PFTbRzsPUySzTEZNXH4WXjHpsjCy7AbI6r7Og6/N5VoGIdCGaPShY7dRj0WZAw9OazYLWy8Ce51IjMyeJCrGFxNV+RvFwYot+xbtYs53sveYKnW4vtL/HInuaMUtY2AeanVukkNEHTMExrqJpjTnORrPHsyxsi7CwLcLCtggL2yIsbIuwsC3CwraI0Wwz9IaN6wIiOerk+bvWsrpkOLZ3rdg/tab/m6aLTDZSzBGC3z37eSPV2coKO5rM3TGm2ds25w+NzAWkiejqVydDVlKWbYwJe/q5NaW/A6FD+1GsAPnzSfBhxSVKZQLokc2GoHuU90hn+ealptjG2DJSJbMLmWk6W2lXaeiPYgPO5b9XQXfP8irabDINhU0/i7CwLWJM2MnMYJcwmXhlTNiu1qAyeegyJuz5K1zwK425ZeSe+zWndGNM2K4W28UByBRGhG1ywqaBbY6Tqwm0CxvVc1wsjJ7EVIUJ7VKpW6aICiaqMvOhJgfywoYzvk2o9vspQ6uwk7cebUD38/AyUoCMT14FFnYBul2+LGyLsLAtwsK2CAvbIixsi7CwLcLCLoB0/5u2obv/g1ZhX2xZsyHdlee1Cvv1y/d0Dtc6tArbZCcN25jo26N9zW5LmWfVlgMyaBd2VolnFzHxLTVijbjeOsu5tlmugrA550KGdzu6nKCZhimMCRsBiqcdMwWfOmRO0ML0CRLCRgaWC0DQphOqjB/XEc2K1oFUwRqNDDEbmWtWfCMwo/BA1I7zsDpMrtFpKicwpVPdIMgjZ+5IvRYBME31gYdZigNLE6fdWtliWRlhqq0DES4Aweu+yU4CRYDfpml3Qi1h5yVyqmh5FnXzFm0241Sh1podd9ZL+0Oef2Z12MitCkgyrRsFS7XPmZYNEv6QtMCrdswryitX4ZymcXSizRrJckChKoMKOoPQKfYw02r6pU9g2PQuH5cviHlsr97+kU8TE7hWYWMNT+c/bt28SjrtQ3fGQtV9wxRW/Nlx9YVTB9YN/5u3MmzWbKJlLLV0E+0lMIpsWVgp+LEFtXXbyEdv2nvmKkaEjbXbFW+fTYzmrrt6gWAKozsILhBwwoS/hDFc/SyPpP2bvO8zYZGYrGamitG6fnmYulAlzg0sIzdG8ckbIKwMPz1yj90AaFQ9VqVjJ6NMGPUTWyOzLD+jbBGJXuwnWvuYzbMcN3NL2tk7RlQYRkk24+wLO1q7F1r3tM0yoMADJ8jA96bZFNTGTNr4GDquB743wQKvDQQ91EYs0zcSCfxl8o9EkyeyBC0kW4FjJ7VyVe24b+Ra4HuFfTVLvX7RbrqRl5ZcFgLfW1EmaCHriIrsxLDbctQ/8rAQYmfc53DEuIYUybyloojSZaQO0QezJ/pg8GFtH8EPh/keuC1goaHz66JpV5E25U6sMIdt7alMq8AKPRf43qKuh6ql3J1ub0/UCZiVmdHNJSyUge99XHVcZeVGu+VoW2GFZmyxECm6UpCMtHJ3uj14B8/yx8k0yCc4w8na6jJ+KVZqhhpQ8omylTxXuTvd3pboZMvmB0OVhei+MZNM5e50e4h3OM4fKeMAy9EqPnTwHFLuTrd3dUQvCxi3mQx872ryCQauJ1mxGYd5O3JN9+krd6fbm2fFZhznYuSqDgmVO/KI7OdPlmkB/RvOeOWe40+VaQk/jRwiYixatdndx7QJxDcJzphk2siGTre3c4wPkUxL2ckdm5jWwsrNtBZWbqa1sHIzrYWVm2ktjZQF1MW2zavEtp+sCis/o+z3zX99I/699F2reojaArJEv5G4sDN6TbtevtFZ5UaHBZm+H1B6NGJBKd8RrbXZB6Xlp6ceFVM7VkuVgkd/7xffuG1tfrpppHquDup0H4LCo9XUwpX7VrrANQVW42N719Yqs0+1S5MEs06u3OhrVqcJBVrDJJvSYQs+ef6LsG54XbC1Q6lUwBdMx3uLqNke5KOr59uhXY+5qtxumiVTE/qaPomogcilqA8SuiEePXOnb8JgK0ed9m2bH/53q6Li6iI+U2BeSXsY84MCmmq4gufFl1XXl88mTiq3yW422BF0tabTCVZiPHcTnXxwvnFRuZ1zBVLr9sbQhf3cTGtxTrlH3Z3HyOPkyv0eK7hVXJW3k8p94d2vCMxiNHD5ptJN5X7ny9Blx5gH/n9XcVK5z72ygVwn8bZy7vcblC+lqOCUhsANiCYu1Lq2txn413HB9eZL5XE81HBGuXGtTPFyZVTArfAHpzeF4QWu4IRynzqwrh8HwjQHVnEErLmi4OSV+6DBuAlGnVjBXYC0csPG5hWbHlBwF2xw0sr96oF1BGbBZAEbHAFVlCGr3BAcu/toMz21hvT8yGoPdcExZkOPdUBWudmX7QaUQ5B532dqgeoDVGHlZmqhK1fTBKzcTGshq9xIiGXoQzm3kqxyI9Oboc8dwnVfyCo3p5O5AeXPiaxycyoZfS4Sz4givXJ/6GCtjFECGVGUIe0tmb9CW3ijjAu5laSVm3Ml6eJCbiV5P7fLJXTbCqrjulBejbxyQ4hHz94lMBNGJCriuoATN5QwT1jBmweKve+1ZWfm68z1OxQchdCZZkCXBZcUW7gWW4Ii6E8dWuKrectg13Tx7ONc4BS6EDx5cInNFAvgnqHT7ZH3Z+fhbFQgBA7B4+TO6AVKjR1y1+wtpyXrbMOnNMi5RH0TyvHF1MF1+pEzd9ryOLOtUe4kaHiEkhCs6OVAoU+ev9vGrm7NK3cyB89Eg1TTDZFcA16Phbfuj0LUZTPKDYWWqfsHv+qRs3e1KzxMmOd2rA6TkNtaPgJ2MxT4wjtfOdmsSQPNrdyoN4dSxLKt72zZg1jp0ZYvbr29fs0Kcpn4n0U7HJQXinvz02+5JfgwNGxulcNgU4cedOLd33AtFazGuEhpc9djjdA6UMqu5rjE2fenZWvbbZ1W3CZ44bVlzlQqZ5aUwYkVCb7VslvIuCA6vCKmoabYAOcV7sdZDsnTVHwLWXZB84dfrxWXj48bqxcNU4nqgdPFTge2Ie0qQGjl6cv3Cn8HJsz7r2/SruQ4WFJ2H2L34vLOxZD3g0G5Za7YYyVHz5xwxfVWVno/fEFg7pxzoEUJmybFONGmCis4lBU1oWXAiptedeFpgLkTH8R+7K0MTY7Ho/+6COU6fRRwRjoIucSKXNVUiD0wbaoey+EFxTi1ZMG/vdvxSDXGHs7txzejGGPEc3PSAlOEs0Yb4rnjIHp4DXAI5G2aSYIbyqtCiGfbJBXEhTy99ZHQvsafZQ+MyUOnK18W7GJMJpNYuVun3A+Dib4R829Vz9KBm41bl7hL4HtXsaTNjbogmNaxgAcaC3wP7odZ/nyZFnFYxN6SwPdOCCFu8KfLtICZaMEecAXuFEK4VXWFYQaZDXxvPv6bvnJH2r6FFZxxlNnIAukz4CODgge+N84mCuMYz6cVW+TdUAa+NyGEeJk/YYY4sDI2Br63mDXN3NuNwPfgItzIqzhDFBwcx+PDYxaF1+/RCyc63d54dNmznT9ppmFmkofGIqRiS1JKjhV9P3/CjEVgfkznmR95KAVORUo+jZ9Otwe7fJ5Xc8YgQx4QFSpHBQa+dx2ruXgYvDMe3Qrhh35+FkOVa0KIE4gL0TE/LSGv0Yp+IvoJiVb2PdEPr+5MEpgZUGCYGYtFh8LKCCH+D8CLFpIHjHkAAAAAAElFTkSuQmCC",B="data:image/png;base64,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",p="data:image/png;base64,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",Y="data:image/png;base64,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",V="data:image/png;base64,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",R="data:image/png;base64,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",I="data:image/png;base64,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",U="data:image/png;base64,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",v="data:image/png;base64,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",W="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALkAAAC5CAYAAAEDqq7KAAAACXBIWXMAAC4jAAAuIwF4pT92AAAb2ElEQVR4nO2de5BVxZnAe4YZhlEHRdxUgQxXrxUIWluCUuqa2oLZxTUpXR5GokYtwNWUMVEHNigVqwK4a0pDAj6yxg1ugJKUGAyCFWt9sDvDZjVo4Qp/KKLlDdcrWrWRlZcMj2Fm6zt0X/r27dfp7vO8/au6NXfu7dOnz3e+2+frr7u/Dw0ODhq/xow9f6rq2GZE0VkoDpIX+ZS8532GEOpBClo4B9H/z8Pvl9B/2c8q5dIS0Wma4DJI5ZVyCd5X/xowolIu7ROegD4Jof2qt7Rq7nvtMvJ2UqVc2k7+qbkH9BWEhWrIO3VXgDj3AIVoPXsllXKpiXcFI6pnHTbKqHIC3dhAi+gPbCrmnGRTcAK4pM5CcaqOXutCxFR3BTQfPH1O9b9xt39e8/+ty/ajN3cdD97D5/A9ewVwkmZ06mxdbOVwEHnRJ9KBXEGzTuFpk4ZW369deKb2SZBMRKxISKW3LNsf/AXxkO8P9tVLGNc5gv4dBDfZVovIL1rrJtuA69xCq+lE9mduQ91NpjsoV5UjnhZRvWJoeMeyvWmT6UmoY+bTn1e1iMbips+rlEurlScgdBaKvQihKaAN1F/EflYpl6YKK1FZBWPGnj9I/xV9pmVViC4bMZpBvV+qPFrXJtKxgYStp+2hzkJxH/05ftuDBDaSiGZBwTPxSWrsIN7fzkLxPFHlVVNl+c+XodnXf4u0VilOHvS9QTxDi67cwAbidwvE/ln//O/QKy+/FKrF0AjSkDrrgW7tgn9cePKL4h2hTsCD7pKdmyctrKa4qJjU2UJugMsnVvVRqGvrgJVw2fjW6v/EXLl7+mnoiRcPh285a3LA/8NPa0ITOlvYotyWa9k55Cqg9VDxzkq/zmFisdCVErEQ+4b9XiSWOjvfRlvqbJsI7ZpoVVHrhppCVx480ga++B9nlddYAqb9y5H/noEG+z4L3tNdbp2ZYSN79mFRJ3MogAvNomwW2d+l1DG1hLVfnNouHDulzpYRYmuvwBWwVhl7VTplTF413adoAMJaG1pSiQGuD4S1Yshnn+zZg/7qyr+OulVyI52C++CCRoOdR3uKTG09A6ZQglxTKZfmiqoQep9Iw8HUExmrrgwpFnZAKFJTujdYQ97c/g+3BQ2FF5iS8Hfpg/8cS8NJ3U3to6r/izru0D186/j5qGXsTc4aKoO5A5sq5dJM+gOeznfRnrkoJRySGWzxyBxBUcC0c0R1REM+CeMTJTbqms196KF1X1Y/f+DG02ss8NWb+9Dmd44F7+Fz+J62d6/7+jB03ZVtdTYwC/vDDS35R27rQLOubEPvV/prhg60MQ4NhDEK+R6GE/D9jKX7gvdk/EI4d2Rz3Wc8mHZuCS15aDgwfem+mkbzYL+DIcvlGo0UYS35t3YdD6QEt3rD60eq0uVdBM+PTLzi5HgARo06MO3cFFryRC9BgqTBrAqpgLJP/mA4enjeGUFJ2tUvQ+qZ4ZFkVylzvcKFWPU2caMzzOlNY8OpoVYV5UjHxjVvw9Ft36s5mmcmC53k7O+g7YrfoOaOr8bScF2rUuXhdzq1Y8COSrk0UXSYtPE01FRF5OgOM7UbL7ko4gBv4v2vW8aESB1ZkWPrftCZymHLjBl7/llO3R4s+GG1u1Iu7RZ8T/RNqR50GYTQF3gZiLHK1DWc94OkBtx1K1+Som5RkqIXAUmtlnwfG9KFNhL+HiE0GSG0GBeh5z/Zz1Rlek1MkLqGX33136Gnf/VUjT+GTCrG4WQK1Z+LHEvEQ2Y7E2qC6gKENju78CvORlNtEDZe2B3K3HgIT7a2XmA/4UqAiZaj2+6s+YwshuKV5z49afVAHOkDLYUb3bSYNGTEJdwRWWehyH2GkIZXV6FcdOGFNZIm0mYb39TS4bThBE7jC7xyZEnao+SDd997L1ATWj3g/auvvhZJQ3mwje8sFDeyxeju8Cx4wJhUHAWqAQa9jGIfvRgzyUbrnKemV4HGi7q9YV3/EZlemyC1DlPkoq4jkvn8KGDbCTq+IwsNZ2lhR9VpvQNcz64JxLeOOB5cWOBCQzv6yXeqz1SAjsPD594wbWfdz/REAMA69uF7MtvBc/obTAQEOm7UaN5C73PPGVJTlv5+zrT2MKdR0sLqjo6O38rc0jA+dFOsdJzMMtDr8ll4c0mIs3jLllAN3/DG0aDxoBJ7Pj8hbCQBpmjgIl03GoV9AEFjgZ6HR9Q0GuZ+gEWrDtWUD9NL8LYM0LDtbMEPoIt1TzD5nr1o2+MjuRImE1cyYJpx0+Kz6o6/9O69uk042fCwD6ADhwcDab/9xEjU0X7y99K16Ivq3VCxE0+I0ZszdBrNneASNTxpI0u0pBmZPoCSwPoBlBaMHkBJoJxKzArShh9798HUXoa04Sc+/X18LWGAFbsyuItrE2stBVlmjCmz36dyxpnjU6nbYCNqeM1Gyzgbf6Tnb7XKaU+TA22Tnwqck1HBE5DpFHmifbrs9ybV8SR/qFozEjrEKP3zRfOqNEZz+tgwm0hNLdILZNjPdMp0h90za7UYwXThgYvFCPm0VdKMVcPxrWZ31c7j7L6VljHBesGNDZ2FYjdCaAVzkTVolllCTbMbl4mLUD4hvHhijqIYeDymaq4QWeGozGJHZWJBtU5IeyKR4mKyDggzn55N9Qj6RRA2fsyFFTiPFfTWfA/fHcftQmCj1IUXTqjutxehWy7lgMt5bqVcqltP4AJ2L3A3r5+FlSEv/3ut54KdSWeXvLy3cye6+hvX5Emv6zaTmSLcgM2DFSxiFkVR9Ti/4pRRF9MmDKGETuAJH4UQtuvVaS448ectqP+jlWjg4AdhajMyEkILXSRwqg7lSYde9GM0ZPS1YdqZCP0fr0PHdy1Xnjqsza8tdJ6wiYBl3/FI86IkERquVS1XEdLdFU3WP1NluJXRwhdFDWib/EvUPOJSnbaljoGDH6KjW2+WNUtr24DroGlS0rZG0BTV1klVtdzBET5wkqtGDhl9zcmABDkQOAqeSWKPQmehqDQrtRxeppqfF83mIdH2/ZVy6SzZsUqHF96nxQX6ZxQErB1dE1ajwTlTdflkw/8STU9dDVl9IEaNrGeohvk1EbjHDNg0WRejgCXNMQvSisqCyfZu54xivNTfhJ5Hzg5C5cjYs3cAdd3/f3Ul6LChMtg4RBCv5Rlq64ForTmskqaDyUS5Jj2WaFG8xcewrBuCMEEMI1hJTfZqwE2B8qr1urRQIEYSLFJGeFcBvOJYyC9CIc9NRNNDreQOAytwUQij+399sC4+rW5IWXaBNcIarhNFKAHmkgepMLiIzYOUzj2AOAJXBbuCm6B7nie/P7zmsyQFrnqQRtqnj2E2F7E8s1A5jhB2E6JoZj957ku0+rW+8I2NEdKnR7L6Hy7+RzecXv0f9mfQ/TRPoLLQcDSu++wJY93pn+7gKLKdC7RwYEMMCBWsGLbreJGzW8eFYNluBs4x96pTW/igHaAM0yae6grZ3XUugcGR0uEl69PDTEbAxcE2KhUiq4U1GcPeELCQSKg+Ebo7nJClezc2oecNG6H7EWkCZCqUblZQDY6IpmcyzkIWgQVLkQ6OGhXrPl0WTs1lro9GwupBysb8ahQUyjZfJQZdoT8m+iLNe3mjQqZsOsvsnGyqa+4Yh9quWBvndSfCYP8hdKTnb2Sndr8hUGVaDuv6T9TUIh/1ZRXYRTzYf1DW+i7dcKKhN3rhjIpS9yAsDoVFollHQ7MJoaLwmm59DbUXachXpqDW8QuChM5pRneVLoU00LkI2227JhvB8oB2uisezvaRmi5YyhDK5XK6RLZ5t7NQhHxhqzIrYod7jFiS3jHNhtLm7YaOrUxceNduAnihJ0DSQl/jqExdOiPDMvFgm4QkieQpUZaJ+pWmhyh3MyxTZhZv27irMnFgvMgDp7sK7FWT1CX4eBowK1cryrzAZNvh7RAxKhMX2gLHjd7I87Uw2xp1dw7rDC6cDEDShPLBCVqGf449OvtnfGgROVKB41xWplnyFvsVBfUIBY5dtdaZ/LzQaxFFL9qu2X1o4YV+Ct7ef24gHQfAtMp0CJqGqzqPEyGJDbcXR5ndOF9hLHlqtYItDB8+HP3byn9FS5b+U5AiSsb6555Fy1c8hv64dWsc7Y+KNZVyaW4UdbMhRbhxuehEYQt+eB9av/55bmV0uRxFLdKe09SB7cNVcRTR8p/9FM2efX3d57zUczmhB5u5dXG1rQSOp9K41AU9Y4TOCht+BTnkT9hMdiNwiHEsKygSOk/Yoi4nB0yxtbjo9INaGbRlXUfOhV2D6QySUd5entDDCDttuzAGj3yG+svrUP/Hz4Y6zkTofuYniDczCrWOnx8oArx0Q6Lg0XgoaIFrzYqIuhSR9ZJFIPCPZuiqM8OmGKcFrnwCq6yRPAkd4TBWGnEf58gsPBZa4FIftsgaUZmMLBD4LEvAOkpZcDOM9so0reCVOqafbsbzrAY/g3XzinRSWsua2YemcpZcZI3oDuWzGmlOY8WwVp6WGoGLHDYX/eVEtHXrm+gb37xWavqB0KHct2/4Dvd7EoUuq8A6eQla7uzY3LOwoF/R4EwAmeKYpGs0yjDcorCsu0Up/U3Jy5ZzxUJ+5cpbUUjW83D6ACfkaX+/YuuNslsRjjTxnbLe4ZzHYAqw4cz4WNmXJtstCBChP6+RK2CLjSnOwzuBT6Jl7E2uq00VJ30tK42aZCVwYuY1Wvxbm7yiVgL3gYbD42OuOEYhy3nNeNGPJx5WNeNFMp6Y8AKPlx0teB+5LGa5799D4KPDpQwv8JiJNTg8wpGW75l+GvoaFRr7/Uo/ehzHLRexVhJ0GEKoQlD4A4frez/6uA1vHEUbXj/CrYMuB8HldUJ1mxCbwHkhrQkgfPIdxJLlhbqWReKH70gkfTbkKn2cLIQ2XU43TLcJsQx8HrmtoxppXwWEz37hjaNBkHgTIEBwiqPwRz/wodMaECCnBGgyCOaufzkQBO2lgfLnSuKaw3H0a/P22q4IbnBKiX7gw0ZInnzP3iCBB/l5Q78NEZIXrTpUU67n4RHa57jrFwdq/tf9NSVBCxZ4JBF/6NjfwIyl+7gPNgAeZns+P2F8rrd2HdfKuJIw0Q586Kj7CCfgkGGTFyItwk40vwTNW4wwoY8eo8gf9MneAS2tZ01GeOimldgEzmrvdVe21SRF4gE5heDFoso/YWrhxEFsI01VihoXgLWTpEmoQ2wazvaxptqLmO7pQN9g8H/a09QQIh34QF9Km2gwghNZKQj36zQbBH3xLYaZTVQ5i1yQ6MCH7UtVWVNY29vGTCTQgyqRfc6arxFm0Yp+4ANOJRo2Nw/Co1G2KwGb3QXsoAjyANG+Enhws+ZrlEQ68EHY8wYChURMBLhA2UVCV+TKW8dqK7RD9kvrWhRp1Nd4Znxg6P7AjacH6R1VgG9F5qY1gc12KAL8O7bdWGpmfEDT4cJFgxKwWAJHlGNhE4ijjAe0Cb6PIwOiTtYrYQGf9aoeP6eZMrzAY8YvdXOMX+qWLvxSt7jxAo8Xv9TNNd4sTBle4AbYZGf0AjdAshNZiY7A0xPOPyX0y6NKSNERuDBwDcSKakQGvng7UoELA9cc276wIQVug05qX+HUy8DBD9JyHbFxdNv3ZKdigxXXofvQFM7aNlqGWVl3UimXlFkBdAUuzLqnCEuUKyBWii1aAq+US1IHl8gZnydOfPqSyhzs0rncMHb4PNmXkOo2rwwc/BAde1fePeuGvNYWuCq0EOQVzqPQYVR5dOvNqmKTdOsLO9KUrpIHoUP3AmGK8sCxHQt18v2XVV0ujUmiarDL71WVg0gTWY3iBv21qgshhA34a5qkGu7oxbrlIbJl2iNyQj/dX/oVOvG/+p4Mk+jKxsnvdFKy55xQ6dcJxt5CV0HIMoqRsJGLHMkR5v1JI9YZwV2mX8/7VJxuFkUpThOY4hSQPc4qTAdOkyhFkjEWBzCHgZK98yE5lHFkTYglRS/WfPIiwBZlNiwca5OdxTE/oygDw/LtcaTtTSwnMq/7Ye3aOMvEhZ9Ejhkv8JjxAo8ZL/CY8QKPmcQEzpkhqcuwYljmMZMycZGYWUjA+e93ywYZcZaJmsQFniT4BnRTbmZYDtId9obktZ680LBKrphDKeNkLw1bT56IPEwN476aqDE5twOn+Af7YqNOWjnDNsnaoZU6Kq/15A2nSo6FvEQnq7WEi/ELnOormHSGYJAviULxPfnFWsmx/adMr+qIOTg9LtRWRgjNDLMCytOYGCl5Z6EIZsfGhB9/cO53sMI7nff15ItQ/kNQbjyweSdl9h307oNhs857GgNtJe8sFDdi5U7zqk6i7MKNSp7GQyfa23k4l3sjL1luRHbg+w6v3iyPfaRKjhX8T7qVvfLyS+jCCRNqPlvww/vQ+vXPGzVu+c+XodnXf8tZfR5n7MdjskezoPxCJcfrY7Xj4i6Yfy+a3y3eiRVGOXnKzbRNt1me+NiC3btau1njRKbkobayIQ3lRApl1zn+2zd8B/1x69YwzfLEz36s8NZbSlzAVfLOQnEmRII2rT+sstv+ODypZj+ez0ishxcpea/lrGWAjvKq8MqdKx6rlEvdcV+QSMmdrtoyUXbXyt00bBRqah/trL48MXjkU6uojQbEOnkXi5IT/vBfPei8gnwO6dnnfovuu2+R83O3FO9ArRfc4bzePANBLCEUBwRBiyjcXyQbZ1lESu40lEcaenKv5G6AEFbHP1ppFc2UAdYgTTSN5qFDw9jkEEEKIkl53AE9PUTQddTLz4pqt75oWt/K9QPKXSmXpAoOygv+bnitf/534rp+9tOTdc2+3rg9YI97BXcPyLXtirVBnrPW8Qts638Br2h1385G8JMPvejHaMjoa0Md4zGjv7QyMGcscD4olSl5qCn9tM54QqxFiLnoiQ+I6nps2502ZoxTV2Pm1q7c/t070SuvvKp1fPOIS1Db5KeMzu2xx7JXd+Z5ye0qRN+Dp4MwoZc5GMdQpdHere/K4xIH3pOSLvo/XoeO71pu0qZNlXJppu3FhApJgbe99aa1V/e9d3qBNEaGmXXOt924Hmr7G6wdxpGhJ8nyMsUNKDe4sbyCpxcLF6O1p8VoIzNeKB+EQY95t34V8NEOnbgMNXeMi/vUHgOaWs4I3LgGvbn1VkYnEbTiCrcPPXZr8buoqX1UHKfzOCbIaqVOtFSHbWhtF3FXnG4aDmYnO8ah5rMvQUP+YqpXaI81kYeJEwE2tKexgHmLJKhRcuwTh545TFDIhgsg6YkXgzUtu3EczcDHHtjkttvdTPA9eWOSQK7oLuJCjFXBPZ4YWUKUvC59g8eTE3qrLkQcZ6XbwC/JS1+nxJsrjYmhuaKfDvsUvTj40T4XuYCNsqN6JW9MTJTc1k/u05B5ck9ifvIkOfecIWjMyFO/752VfnTgcOMmCMs7uVXy4ac1oTnT2tF1Xx+Gzh0Z/oG1Z+8AWrO5D61+rS/UcWsXnokuG98a+nwsm7cfQ09sOhz8AGVcPr4VPbOQvyj0iRcPB68w3D39tODF49Zl+9Gbu45bX1vc8CaDZpLFV5qkajLogRtPD5TbFvhh/OiG04MX8JPnvgyt8DZMmzg0eAEvvHEU3f/rg7GdO20YTgb1kiW6gZJ3FoqwnHFVlgXxyG0daNaVbZHVTxR+0apDaMPrR4zqeEvQC6p6frgueGW1J3WA0SpXvBe4i/TkmVVwMEt6HjkbdbSLB+AH+waDnnDzO8eUdcGjWvYkeHjeGWjapKHorl8cCN3WW5apl+DLfqxP/mA4uvTuvaHP2+BkezIIBpDbHh8pVPD3K/1o8j17A8VQKTgAg8+H1n2Jxt3+eWCPiwAzAsyiKIAfo6jHh+u83IG932D0Bj05xLnoLBS745wMcsEvv98hrMXWjgVlh5cnFZhMBm0k8dGrA0+8Yit0BCPTySBboEf7WiffOUTMkywCJonIRofrakSbvFIuWe1ZyKwLUTZYUw0MZW6yMIR10X3w9DlW55u+NLKYmLkmlzOeeZvYAdMLxgl7Pj+RgtZkj8z25KLBGXDVpKGhJ0HSBJglMFB+/MXDXrEdkNnJILBNYVaSN5sJtjqYIyJFD2NmyFx6cP4wQG/sCY/BZNA+PPDM/mQQ+Ko3Leb/HkHJx5wzxGoACoNAMuvIAk8S00khl3wi+aHNvao99BMNjhEhO1fEmEwGrcCTQbNIN5jJySBY13GrZIIFemAY7IFPGyZ6dIEfCBwnU3CdiZ04AHMGbHYe4Fd/+4mRaILAC0UDZaCsaM4BzpFR06mbXD1MBs1JuDFGgNkCEz6wMErkUoQZTHoW833OqkPdRVU20/pRAU8rMNt41wBKSz/t2LGMznXDMRleO5OvnUEwAwoTRCJlt0HXjpetQozaJocVl7DswCWu18vEuDOoOhmU251BMFkEZofNsld4RD+07lAol2SSSk4A0wNMNNNrD3ruVYciMU+S2BnUUNvfyGYJ3s2HG+ti8wQomMj+T3K2En70E8a21Nnc4CHa+XG/ct26K5JQ8obaGQQ9E7yiVLa4lCUscM0NukzX7/H05J/c7Qzy5A/bySASJi72ySAfkqIxSSBMXLYngzweDbqJkj/mpeXJKXWTQXOxTR4GHybOo02Mk0GrSR5QHybOEys+TJwn1wwc/DCRy7NW8kq51GtyHCRJ8jQY/cks8kqsJx/44u2kTu1JCMN7bmKP1+BKyTeFPaDfLDuvJ8Mc/2ilSeO3216xKyVfHfaAwb7Pgpzrnsbg+K4Vpte50VZATpLVopNeFphCLYQ9ru2K36Dmjq86aYMnnZz48xZ0bPtCk7ZtsY25ghzb5N0mBx3dejMaPPKZw2Z40gR4VAwVHJnqFIszJa+USxtNYyoe+cOMxNxLnugI0oxvvdm0/qWVcsnaHkcuzRVCZ6G43TQ2YusFd6CW4h1O2+NJhmPvPohOmDsXNlXKpbAz70KcKzmysM+BppYONHTyU95OzyiBebLtTjRo7hN3YofTRKLkyLJHB5o7xqHWixZ7Zc8IDpQbRaHgKEolRycVfbVtqAvo2VvHL0BDRl/jrmEeZ4Ab+Piu5S6qAxs8dFRlHSJVcuQ4tLNX+HRw4tOXAsW27LVpJrkaZPKIXMkJnYUirHGZ4rJOMGlaxt6Emr8yBTW1uI034jnJYP+hYADZ//GzwQSeY9ZAAoioRR2bkqNTa9a3mw5KdYEev6ljHGpqH4Wa20dFearcMND3WaDEMa0p2gFBrHDih8iJVckJnYXiRLwUIJE0LJ7EiFW5CYkoOQH37I9mNQ6jR5tYzBIRiSo5je/dcwf02jNJWIgkSY2S0+D4L9DDz0hPqzwawLKO7rjNERWpVHIWrPRL8CZrfiJ5T9zsx0/eR9PQW8vIhJLzwPb8VOrlzZxo2II9Yr14EV7myKyS26AzQaWzQzyv9eQNv1vfk3u8kntyj1dyT+7xSu7JPV7JPbmnIZXcNOoXB1fLQ1X16CYNdVVPrmjknnwEnnpm2YG/U4Jn9qKuZ4tuNg9X9eQKhND/A5r6KHt/skIWAAAAAElFTkSuQmCC",K="data:image/png;base64,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",N="data:image/png;base64,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",Q="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALYAAADGCAYAAAEI1UpTAAAfIElEQVR4nO2dDWxc1ZWAr50QCGAnhulKkEwdXGPIpHVtQCGAKMk2P0hUJEHLXxcVQ1y1ZYF10gYQ7JK43a6gVCQpBZVmSByBBLuhkCDQkh818bIkKQJie5sJDGaaYQJIiyE/BpwfJ16dx33mzZt737v/772Z90mjxDPv3XfnzHn3nXvuuedUjYyMIF2MZWm3L9M/2oPmVGMVa188G3c2SiNZ37AdPirkczPdh1RTGm1xNJy3e0vp9VX4VQJR5rjh3uZUY4v7s2R9A8uPdKiQz00sEQs0zCNXChOst6HnzlfvnvdG3O+5X5O/ed4IvJzs3LlrxPG+dVxJz929bmofGBXD0Jbp3bZ8lyz+56LzZsy4dPT/WHQbffXc1fjo+4V8jnh8sr5h9P9F2tLUPtDlbKypfWC58/Pquoutf6vG1sBn6IXXjxQ1vP/DD4v+Hu05NIwQutXzaxB46LYz0XVXnFbU60I+V+VuXGgcGBn+HB3Z9vfut3sL+VxLkcxJF8imE87PSxp3/g5OoPfEO5TUMOlvd2O2OIrE4tdjN6RvkE0nSm686qb2gZIBRxWeYpGlOptObNfVuHX72/ISUUeSrG2oYoEfbWvPsaL3HnvpS+KPScPzSXTH7w8zN0RitOeid6jXeaONu2VHkyXrcRbuB8H5iz6Z6Pp7xH653p/i91DhGs89e8nSc9Krd897XSzHcfe8L9PvHOeJFgENqipSDKLvOv9I1jfAhacghDoK+VyP+2Bi4yTzrS/T30Potf2NdsMI626nRCx2wzTbhcUossdz4u3v0TCzvEsa78v0r/SyttxyBfPCfpFwy/yg8w/3re1lt8Df9tMfRFfyDG1ONRbZKTLABdxG0QjLADZ+zhtMQ6+03WI/yJf84h60fv3z1v9tbWGatnjhtA3dUIdcoPb0KqtnNDODZhAl6xtmevacZhDRZA2iSNY3gELsK+Rz1kO/6vxFn5QYoNsePgtNOpv8eH1xx1F075rBoveGP3gO5TbfWWoUkSxbWsPAwstPLXlv7DdvIh6r1yjS2bhTz1vw0GlB0xDnD+r32HOqYtGgRNIKHoPI3XPRO5TfnFMB8Q7F/z9EaD9POI6K59PfLSpeu8WMKqqgL9MPA9Y27EaZEtqOsziSEKfnihXu5xBrZ0GRm1ONE70OIJlX9gPSD+aOEzp8XnOqcR/hOLCqOigd7Czkc8y2i+M8y2Hm/IzXNq9rTjUe9DyBfGFVrCvkc22sHYcDWptTjSV2vYrOz5s3F01LTUWbNm1BezIZr0Nn2QYF8uu4Ctcl9vIWOWJpxrbN4OAgSn27aG5UovtSo4rXM9HD6cXcPpMBSulYl+gD26PNEienCESJezhFN+LpErPDdDi3GlV/Yyaqrjm/5DOnE9UNRdqjo1JJx1VLmAWnwTjtOy3o8OFSvxSTjpvsPO1eoFBXyOes4Zh6c/p13su/62hDtNPdhCWh2wr5XJf9B03iJUMYT4cJ7RHfB/0//v7qovdYH/kwObQtOl9EOu3XeTestrNWm1knke24e1kI1AZugHrSwZMSY9C2h+q4L+KjJr3g4+RdzRAaVXh03avT3D5sB7RRhfmGBZ5ZOgFNv+AU9Ma7x9Etj5AmwlTqsukEs5ns2fGAnpzcki+5OWV+PhFEr8fsnyBdwOc+8DxeVkCec07V0lfZnuw4vory/m2S7fqiNXRIF0qfmjA/5fC5CKNE0rSO6vBcIZlO92X6NyCE5jMcSnQWySDicmN+ivpJ2g5IsyEFppHg6jSPvjJ0eCVtYuIHs3p4dHhWc6pxu/M4Fl2meLKKvFI0uAMabWgdc7+frG8Ah+QBxDb1spfr7XNHSOex+AbBibjWr7MknB2WxdlxlnFaqMMYJR1GLnXy7DSWsoWuMVcEP0mvlekwi/sAwjfdIZx+bfneiDokXFtbi/b8b7H7fHHHVx2n+QCdf/hJep10D12QOuyE4lJe5vxDi597aMv0TveFbFj93BSJw8S0Q9jKa2of6KB9Vl3TROywAiC4eq2MabqC9sEpFywhvv/U6ieV9NxvNWFEJNi1uu4i4vvPvnaSOw6B2D7tA4e+blPhaoBwptc/vthuW6otLmc8TFB5vwD4raHDlPao5xFuRPBzLweDKnAHDqnjpJGDansE4XFyu9dYHi6BS5p1rcbPymtV2Skvjmz7PvOxTiuvxPaA8CnWu/ulZRPRhcniJiD+nCVMfOTIx2hkeND3OBJCvmvb5evFuq1D6NfPfUE9wkctNrpn+k714F5/5HG2Dw6NoIvv+pT4GWVXy8ZCPrfA/oM23eJ6jD9w0xk8h6Oa8VVodus44mdVY88kvV9kzzg3uxSdC7H5EOw5utPLA9HlO5Z7BHT8vWe+w7x0d4Clw7SFexZgAcqPqtPOYR5umdUDIg5EEVkxU9LpMBF3msY7hWGl7TF3WsYGvrZTaAmRyljnIk5T+wB4Mv2dEGrpzKYTXJsutD4RkaYlaJp6UP0d8zl+6kvuJj/CMcKrYNpCiPzuAR0L/cwTgbY549H9N55hGUdg1fHE7SlbcjY8czmUTSc8Q6FJuOeIC5jPVMOEpvYB7qh5941IdXVppI23aZJ6HGSx+hTRm00nuPYDIkr8x0TK/pFufOOcx9F+HT4nT/hMqMPIZ8gblThv3AfpnKb2AeeikXCHkZftgSXeqipWA2KY7F9KpsPIz2By78Zy0e3xWSftg2w6Ib1OLmOaUo0cXgOIF+FO60x14EdoI2v6Mv3L8bqN9m1bpgilsPsy/QvwA5oUXRFZ4Qcq7L5Mf4fXWhkj3c2pRm35W1QivY+dB9fOOFWYtquF0S5sSKrhztihAplICZx3wDf6jXUXCStahN2X6ZcNZQLbbDt+OYXiu9uWkS4FbXCjeuM3j5AXNqcaNzC0aeV4a041eg4Xrli18wr5HNUo5tis67n72LH9tGS3MQllwu7L9PvNkovCJ1XhExBYJIRkfQNrpK+bhYV8bgP6OlvPbspxnkLXGlcNzsfmVKOWW1Zl1KUGiEKXFjZF0Fx78EXQsG9fNaN5AGxU57zQLmQnEsOCVmhWjMxOB+fYta451cjtHlUFr5ZDxK4d/EoD8ijMuPxK4l5zD7q9Nj7ImH7Wwy5MsddeTEul0Kv/9TLz8TU1NaPBvqQEFhQ8/Zgymi2VuQN7iH1NP5tsOkHUGMYkgQI9LGXFylXo0RW07XijFAUROQnEN4KXkf7Gex5nZgYLVYK26fzlv6H0U2uEzg0qOGSlyEmnfOvHXMe3L7pd5DKeLHvwX4TPDUrYQhbE2AY+Yc+bO0fkMtoQekBS0uh008bVIDjtyo3oR+lzEEp/HUDhlZbHBFxjNkcC91ZCSsaiPXoyQHTrsZ6l6OSBt4paGXPuD9C4aQ/6tiwj9Muu+B7av3+/0LlMwhbNkh92eIVOy/HkYtSP4sYvEcRy2v6tcuLppRPQpR4B8M7swT6UTNGd+I3ZZbHQ6seHAycQcggbJjHX33CzXzpBErd6BRqxDiPRS27BiIjtzgBxKGF+QDa1D2h1+kAc/2RHPum9hWF0+Et9v/Hxd1eg4Q+e1dY+yU/CPYOU1XLR7FwI77+Zde9n0j+CJm12UpSiz4bLzsbmmxAy2fJsYN/Qm7872/rLa+OTH1Xjz0EjQx+zHl4iuGR9A21ViihkG55hRGhl5K3HzraEpAvYciGyg4FRuz2Fh1eLYK2zjWbuOWGprTITB/Vx535Roc2siGw3OfHRK2j4o5dLJkc2qkMZqKWmZDEpaBsVm/PdKM21pqP0FgwdQfDEnbWBXJcVLV4/nWO0F7NbyJtuw0Jks8FGkVjYBtEibMhaEAR3PC5XDVA3doVH31VMHrzSQ+jiw09Poq27j6luXWlSVZ5JDfeON90TGhuBdNBIds+XCLwrNdz2ONRus6fYOhC1rU1nnkYmHVGqhS4zgQlC0EhAs5W5WR++vYZYho+GX6ogThZn0wmhcAoZeMbssltAMK3hLI4oLXtiQsSqbDphZJ8+V2XCMsZIzIvfBnBarclyotdUcJFWO5tS1UkHItcJt52N2IS+MJtOUFctFKQD8RQSQ6yLcSHbCIcMu4TG9QVkngU8FoRMH3UgvPNAJL+QArwShYSlj1SCcrFSM6j4oDWJiW4Cy8ogMpQENc1WRZiTu7Tp2rAaFGFeqVmLy0cFtuVPNVFYFisboYduGMGZHTo8bGVt++F1Ewph45xQXZyTHS1ZHnQSmLCxBvfQatFyEBmhG80RhTgL5jGy0m8bc1gwJuy+TL/Qrl4feptTjZEQNDIlbE1JuYQzQSTrG6b45Ina57URSRStY7YrTYZKpCwSxpQZnrHZImizs3EOv9AJmgPl+QJ1pZqTGTbsNHM92PHkbKe1OdXolT5YJco3aykXNkMWNDermlONxAVXPAzZwlaSEgmP14GgVNhYo1kE7ZunD7MdzyR9BZ2sb7Dvpt5CPudloSgZHlzZ11oL+ZzvHacyrx9LpRItuaQcgh6Fth+GdCwNjzZICXt9Ba4qr5+fDa0tDbOP8EZrVSfrG0CjXxS4hLuW2T6PWa+nwHUnUUQ6H2o8WmoQqsBVJFGkDR+qktQSCamgbYgCV2FnkwTdq1nQK0MeEkecX0gJG2u1m3VR8leYRFaz3Vq90UTmykI+F0TBIh4Wko6VSaLo3stu3AMX0uS31BShMpOaoiEkoKGjVcb/AilD5837Oh3dnsxetGnTZqkOeeVilUoPav8/yHysvJmGa2tr0aZXX0GTJ03yPI4xFWgRfokFVFgjxmprU2BeEntq9ZNWMls/QQOQhRhSi8KPowpZYfca9MLRYHpYZv7ai+YKZLCEHweGGxawv4SKkLCxNy6ocdqN74Lxzh2vWSmaRYFU0JMnT2Y52/MuE31ATpQIjrTAcdSsEf8bSLu7kvUNvosI11//D0zDhh87X/9vuJ7fYZ4TLaEHJBRZa041CkeUimzxO/F/f372WO99x7CLlNlfrjKl8/rn/4SW/Hwpzymj9XbAIRZU/mzui0KN+yOv8S2egFY/+tvf8F7KEwbtptEdmRQYUJufF9WCRth0FOSqON8IJ+2LxBM1xMLm5LIZM4TPNS5sHQnAooKwb8TxkOMtli4s7Oq6i6k5+Eg4MzeoSn3HWbemCCHNdlkTUOR9BGe0ZEFY2GPOuojpuOqaJjR+zhvuPotetohXN28RPld1vhHf1BKy++H90nqOm7YMjTn3GurnshouYfppyaSTz6YTJSvpKnOVQFrPY3tKJ7Cnzfozqhp7pu/5MgKXEPZCnflGbG+gjng/Cyg0cXTXP1rDxrjvPsJ1rojAb7jxh2jnrl0sh67Cs8aibeUVnRmeR+Cs9cW8fNq+D8hyzjnC89BkLOTmudoQJ3dh0HDWcdrESk3ZsnnzFinrw00sbALgSgUhL/rxT7jOw/GEVPxmkLMU7+wKHUe2fR8l6wdVdQsCN8UekDhPK1eOjygxnFuNRoaVCdrCK5alYk0/kcUIDogB+aFJouiu7fWXd4/rvJz2WjUky4TH6ycVfeSmbc54dP+NZzAde9/az9ELrx9RdWlrnA4CXt+IdEw0bw5WJ4+99KX1kgHG6ePvr5Zqww+avc1r+jFXk3YDZa5g8iAqaOCua0+32oCMxaKc+Oxt0VPB89Xrd5DXxEZ7/mwAClxCoUuVzO88aBV7E4FjvM4X8rkiD2ayvoG6a1nZDLKpfUAo+kmHoIGNyyaiqUm9W+/dgsbv9ZCEylKtiWcY4c7pAcLQIWgbELjIkHLqJX+QvjYW7jps5jF1QqvpZ6rklciSF8tQorq2mKdmQ+X/pvaBDhFBv7TMXLLIB25iMyGdwBolVLOuGksNuPR9GPJiF3LrwDF0yjICmy7kprKI28kDb6OThzMbc1s6lGZmgEJu2/HWYGWCDqKgGkySVFFddxEaW3/LfBxpq65dHfmtgyioxjob5URpGfTYn20Q5cKe3RpcmUCZmaUJlAvbqzK/bqYHeG0WlAtb96wurNdmIR6zDRIL2yDKha17hcWLNwK8NgvKhR1UlVMU8A/NgnJhH/6yUipk8aNlzB4cMi/wrT3KS8oi1WEctiNKqXRgCWzbQ3Uqm/RFpSMKw7t9xRfLMHWXJMGbjOwXt+/kw4ETKvvof71PT8qc3o3XVrdn0wmtSQ9Yg3S4swXrrt3rRFCr67LphHS6UR6YxmyRXxwelCYsE8Fa64dMCxpxPiAX8zYONXclb3FP4KEoWGs9kL2YRkIZtj18Fpp0tlrDR7DWukVQZbN4JbBR5CKz7v0MvbjjqMipRP79P74QFrTIHaoKXmHvE73uvWsG0SV3fyrdbXgYdm2RehYIfwdZjAwjbsDn/fRS9nzmMEm6tvOgMpMy9EXudYUMg+BhdQd80bbzH8Zj8HPAw080xMwH5RMWFljt7O2GCh+bpDObThgt5slS5F51xaQwYXRiw/KALOcNTAcYjlGGX/hZ2ftLcQVrI8TLYnI14LmIhW0QP2EHndTWBMYc736bTnvKXODhskYkBN6rI8aZADj/8wLnGfdn88wgeRYQir5IU/sAS3UmXoryUcn0zxS8vhG/L+Q5DRZZ8SHgKSgGczUQQSNea8RnSFnl52/A54vc8jbr/ASFnUy0VfHABI1ETD+KwFuz6QRrOROZwplM52bTiZmE8iWBChrJlrsCvwlOk8F1jqgLQMQ1KtJHXUQmfzYK0A+tingGaZBY2AaJhW2QoIQtsjQutLIfJgJ5QCL+h2Qga4aqCUzYUaUv02+vx8LkbLmhgvsxnMSKzUlfpp9UBRzFih4uYsXmhKHCvE2s6AESKzaFvkz/TJztZqaimuOxohuk4hUbK3Abb9lDBXRjRQ+F67fcqCjFxmYEBK3eGoLuuNnYnGpUmvurkgl3HhRJsCJ3hTyqHKJqZjanGgNdGS03yk6xoYozLsJu0qwQYV1zqrEt5H2MLJFX7L5M/0RsXqgOa9NFIAqdrG8AOUGsT71kU7C6NqWQz4X6CRNZxe7L9INyrIzAyGxzW8AekQ4FSo2wvDvwYBJaIqXYeHTersj9ZoJD2H7WmiqGEZX5J0JfVzwSXpG+TH8LziekYsTxoxvfPKCMPc2pRmo2gb5MP60YMfisF4REoS28Cp0JUhdmcyTUIzYeoVXYhW7y+EbpklQ+t2Ir8XBgexge9/DvvkI+51lSnaE9HSPsTJnCUOirfrXhdmDwWKnyRgntiO0INlLBOrwYojSXC77xDqiaEGKFpplaYNa0uSuKM7a7XHUVAfjOhXyO+zvjm2wDZW5kmW5Qa0m2c6FT7L5M/wJckFUGiHHtUK3IuvBRaBJgLi3wG+Fwuys1LkjBgNHB2I8uitlGQlrBQ6XYkqN0Z3OqMdQzdTcCCk1iFTbX4Ca2V1ZNzEVI5PGN1IPNqJmSblhhBQ+FYuNH+j4B1906PDJHatVOkUJXEtwKHrhic4SB2oTJhcZFrNDSwG/fUsjnfE3MQL0inEpdDjEVG2KllmICttV9vTxBu/tYRt1yiqlYIGhyxXzFIRxi7EtgpojH4oZN2Ua9JesbaNvLYuisKuRzrPlrglFsHOexlvKxZUdFxVUnisKgpHJHKOgqKMU+SHkcL25ONUqtskUN06P3vHlz0by5c9DV8+aimhpqdfkiBgcH0aubNqNNm7egTZs2m5RwZyGfE3LhGldsymidx6N0RQbba1oZtABFXr7sX9HkSZOUtgvKvqzzV2j9+ueVtutAWKlRQBlz3MY/LKxMiXeQqGNaKoV27ngNFfI5lP7jH5QrNQCj/aO//Y11jcxfe61rKkYqaU8QI7bzgrMqfTMrDgSizTe4AOVa/5/PMpsYqoFR/PobbkZ7MhlVLS8WDQAzqth4R/g2e0JQ6aN0sr6Bd3GKylOrn0Rz587R01FOMnv3onlXX6OqudbQL6njAKeuoJS6qX1gCvZE6PQj92bTiRbSB47wUeG6vG5qa2vRrh2vBTZK04DRe+7V16D9+/eraM4ZI3+wkM/5PuVNKzY8djcENVKbKmR08sDb6OibPzVxKcu+DZtS24Byz7j8SnT4sFB5X1GskIuKyStiuubc0Jbp2q8RJvODhmKzhJlKStpsdJ9edd3FWtu/bMaM0Cs1kJo61XI5miZWbE2MOesire1fdtmlJr+OFPMCuAErQrGb2gcmms4GVf0NvfcRjNhRITl5svGeBhLdh+3dBXjHB8xwuzQXPzKeLqC65nxUNbYGjQwParsGlJl/YcdRqyo6VEy/7vJT0aTEGG3XixJGFbupfaCLsP8OIvxWNLUPII2VzgNJ9lj9d1ehEx+9rLRNuFlO+faD6EfpbxWVzoay/4+99KX1/4duOxNdd8VpSq8rw85du4xf04hXhKLQXlguG1x+T8X1aUFXWjnxSTc61rNUySXGnPsDNG7ag1znhEXBL7vie6r82cxoVWwBhSYBO87beE0VbFcHntNvZPhzNPz+ajT8wbPc51bXNKFTpi2zzBoZglTwp9asRcs7f2X6snktiq1IoUkU1T92XG8KDq6KQpZVNHLkYzScf84yU9w2uGVqXLAEjTlXve/XtILv2vUXdP2NN5u4FKxMHsQrk9thZVKpYmtU6BiFmFDw9c//CS35uRIzrBfnUOHaeKJEsWOFjia6FPyGG3+oasKYL+RzU0ROlC3xHSt0GaBKwZf84h7VGw/O4x2pbYQVOyhPQ4weZreMQ0/cWcvdNgQ6LWr/iQ6XntQOGhk/dqzUZcThIfYBDiaFj65Ypds/LWSC2MiM2KJpyWJCxoXnDKH7r/kITU5+tfS9v/CVz7mwfz/KZPainTt3qdwVwwNz5ic30pPHpvYBbRtRY/Rz9M2foZMH3gq7pLlyiiCFXpE4R0bEULkqagiu0Vu1HzvOcBQBju66BZ0czEa1+0yTSuUrj1EavSESDqLi4DU1OQZdmGSfS0PQ0d7CsBVZB/8//GX4dyJFcJQmsbGQz/kGtWmLFWlqH1CWVkAFoMR3X3s6Wnj5qVqvMzg0grq2DKF1W4dCo+wQr3LszZ9GeZS2ua2QzzGVFNQdBBXoxLJtznh017Wno5rxVUF1AX346Ul035pBa2QPiohMEL1gVmgb3Yq9z7RJAmYFLDQEqcw03ikMo589PmhtEDDJiY9eQcf2dOq84iGc+3u5e3InmZuQW6FtdJoiKqt++QJLwrA0HAXAXLnlN4csG90Uw7nV6Pj7q1VejSsLKs4uu4FRJ4QV2iZqYaslREmh3ZhW8GN7fqlyR4/wkrdHSTxphbbR4RUxMmmsPb0KPbN0ApcnI6y8uOMouneNvr2RTo78z3w0MvSxiqZmsWRkCgrVfmwjSg129NNLy2slH0bvWfd+pt2TospDUsjnwjeJceCr2E3tAy2Omn3wr/13IEWComx6sDDrvgPGJ5c2kJoNWf++hUaOf24p/8iRj0gjfHchnzO+858HS7Gx8poqwi/M7NZx6Il/4g+tjBqX3P1pFBZ8rOrAmtNmCFON9wvuDrtSg01dCUoNPBMNM+sqxqpvgVAtG/dqioduD2dGUR3AhBgWlyJAaAfDSKQ4m5oca+3wqCRgxTRGnEgoNtjWlQasnIL3J0aMSCh2pf7A02PFFqaS0gjHVBCxYseUJZFQ7CBDPoPkjQr93iqIhGJX6g9cqTe0CiIzYr9jMMQzDMAOnBhxImNj/w4nNa8UHquw76ua6mw6AaGHWrdXqGDr7mMVM4rd8fjhSGwORggtDEEfiBRF9+Ed5i14md35aglLxqeHb6/RviE3SO5b+zl64fUjYelOHmf76nHknz6IB8NQoyweG8dirzRxAzxw0xno1tmRiKXgAkZqeDIZAHJOd0RBQUXRsYNmpYnyGOUUwgqbDK7tPGgqDnthNp3YYOJCQaJrz6Ox3ekvLZsY6e1hMG/49XNfGLtcNp1oM3WxINGl2BOLarVpBqL/nrlnQihTLtAA9+UtjxwyOUnszaYTLaYuFjQ60y/ApPNvJr9fFDb4mty46yCfTSciEXevirLNBAV7I2GSGYZRHLJB3fH7w0bziLiYVc4TRRI6R+zQJIaHsFcI3DcZBgojMywqBbUx10V3Np0I9eZb1eiysUOdThhMltmtp1qeFVB6mVEdRmOIZdmy+6gpV50MraqqHYcd1XlF4vId4aciRm+VCzRxyY5oUdZ2t4oaNPEoHV3K1gUoW8DUyCpjjHbKbjVSphye8dzXMVopq1VJmXjsWKnLi7JawJFR7Fac/Dsm+kC0n2/BoiihYvIIk4/t8eQxkoBCzwxrYkkZVLr7YgWPDmWr0DY64rF1KvghnLp21P/a1D4Aiw2w0jlfw/V0MlqQKJtOjBYk0rxqW/YKbaMzVkSlgq/KphPMtbSb2gfAXmwLkbLbSrySdUkbrw+wFiPyo2IU2kZrdB+SU/BePDoz1c72uD6M6Ntk2pDAqqwlq1D4O5CKEflRcQpto12xbRgV/BDei6ekcpTj2kZL8znozKYTQpW1aDAuilWsQtsYU2wbSlmQVdjW1PJDBBjHoi0eA2/k6HLdsKEun2ES44odBPhm2m340oey6cTEcEig8qiIbKt4wmZ6MamidqyEjUpKI2w6yKfsUxyEmVixy+d6MQ4qSbFNmga98QQuWCpGsbGimUq+ybyYFKOHivCKuMGuMh1hmj3xSB0CEEL/D9wjs0hj+npCAAAAAElFTkSuQmCC",O="data:image/png;base64,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",M="data:image/png;base64,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",G="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAAEnNBZRAAAYX0lEQVR4nO2dTWxdx3WAh8+sFVp/pPUWBfwTa9HXaGUKNhLAWUiEFRTZ6MebaGFDpPo2VWObWrgWooXIhQOpQWDKcrx6iEjIBZwCrUmjQBdWIHHRADWcSmxhKH0oIKlxVn2KRFuKYse2inM193ne5cydvzNzZy7nAwyZfO/dO+/w3DNnzpw5Z+jevXtElVa7txve2u00L6p8pPTirXZP5c5L3U5zv/LFW+3eNCHkdeWvdP/bDEkvrjhapZs0MC9cvEaD+eW0ycW2PLRGGn3YkWvJOOfDN7at+V0++kzmpuLodprsBYsvb28Uf2MKeyPK1WGMC3NGnWE88rdf2Sp9TyN/pHX59l/+mfzipiNXQUlbdjw2TJZOjApfF8mc+wc9dXgzOfDMBuuRc8WCcWH24svsL0VfUwcwYNnFu51mqcb85rdfCF97+qUb0pGvscfs6F975w45dvY297VP/rBWF/JrlapifpFzr2wl//xvf8x+VhDZ1JqR80af2wuNv8FUt9Ocz39Yo4r5DUD34aIcg9SHFRVvmhOKhb55+8Sxm8IbgKjgfbwLZ8ATqvrfX/z1/+3Web+1ayEcdYlroT0zKcncdMrjfQ7VtSh+viF6AeMGDZsLi1Q0n92sZyLBDS4QOoc+YXtR+H/eTeDxv2pycRae7QFRO52g4724kjv31g+3kD3jD3Jf+92Nr/QuXmbDi0y8+nvhaw3R7GNLf/ZnAbWCCQIDrt/yu96XVpcemP15fgvrqxQfEtUJe2CyKBqwX5/ZRjaPDHEvBn8bmKBhHuWNmshcC7hwGWUXXnPx4hs+vatuiXnTnEjP+76LTDW1J2gdWu0erAp0dXe122mKVxMKaA8ca6rlsCzz5FmUBu5wsCKE4aEcjBiUU0R6juaEOma222nOsLdAc3BNgBW/4qR3ojiuAZPlc9AmszQ1oZnq9FXF56CPH9xIDu0Z4b4Gk8dTL4rX+oTqvVXIzxSZtD/47z+R53+yWvaWnSgRPx1Ar3lohnYuOXWceZSF33QwjlRWTUN1t8QWeCCx/H2iugxiKbMIppx57w9uBj75vRHyox9sRB0si+7A2fhqqVsPg4aLv1BuorzSlzgMXmTPMaLQIspW3Dy4cWGZ5EnJl1D5crwlVdlqvgg7PpF3CJZmV9lF8hWp7uCLlkXxM2ohZ1iJyKR//tLn0hvKUBj0gpY/XqTV7s0RQl4u/l6yPclF5TMqKmuy5oQl1bvFwfOCFWUDLw5aZbAs1qt84Nwv706/8OzI6xo6rjVIHigD56GbgKELRlxlkRCyT/NjAzte3gZOpXnB5sY5urqdo5t/Mw5OvMmNZDh7OD0t75RDc9KBG8YGrVCRvmwPe8b3oIniX1co8Va7B0/9IRcDU8VkH3hgdqwS0eBFqhLEoEmJ2lQaOySKoTiVjfdbyOMqRWfVT61bn6LE5TljSBgkxgxYN/RsBF0unHpY+ROtdm9yzcB9wqrII9sa2c8QAlHg7MDA6RqzUiAEAl+gLFWVJZd46cLYJ7w02IK63KtEVVRyRlUY9h2t5eWj/vgXd8j8+3e1rtPAWhDYoDtoUpVVsQW81igHDtuHsQ48TlUhvgeOuZXibeCYgyaEXEfb5wRf48W9D0lzlpCYg4GvEEKeVL0esuSM6Haac7BdOK464BAGnaOk4yENOEc68Oe++w1vg1FkiTADnxJ9ZsdjD2T/utp5O/KzT7Ten+dqaeWruFAZXYHwtguvYw8KG24eabfTlOaqi07pmOzF21J8OI+WXY93AgiAiWffrDwkA5k/ppQm14Jhl11XpJNXfvuF8LWF83e5r2k8mEvFXxjnHZrsEMN6k126aeyNKu8sa+/pK8ZFtNGN1koHX5S4ybpRRtkYSmdO1Q0lkzwW9lybyb2lU77K4Hc8ru8dl22fW+8BFS4kPAKKmPa0XfWvrLwC4qWCvPurz0wGx2OFnli8pvoB7aUbcyRy9dWff2o0SsZ+n6bXU1oTsKAkIXx0/YubJ//xzui/S2ZGsOM3Pv1q+ftPb7AO+znLnjCFbrtPI2xVwjM5b5vsgE1lAjfMFsHkQLfTXPR9Uy8Cp1tO/d2bQLmusiKxxWVC1i2fm6YOcPIEoAq8BkIWMYGVyYeRuRdMWosH/J/kzAkh6alKvGRKkpJc7PWKywxP7wmTEbGiunpTPWFQ18kQm7Fup1ka9JWu7WnYs5bC3rPzQew9xJuy5DBhwAwzFT9EWCFD0B6RXexJ8CJcDacrw1oKG/ZqixoNReOwEW2I8AqH1lazQdgnpzYJXz9/+XNy5E29PWIZRU0vlt+ptSeia6th0/NKST1GRQYWS6X1juqE7cSoUEeijP6ZODbR3Xuo0hffUagnK0OlJm0J/UhpJeVUfKOj3bBFK9sBMiQrQpW5hTQusu5xWSYhPwORm5TaBqEg4ycUwAOMNuValZAETgiZadBN24QfdoGG41R6SihRa5MSmDnJqKRYnQ94JYFkOPZSMrwX2bMFivRBWBUWM5aLkSpY8i7wXFChCcwmEVyD6VzgR0376fCAU9FwNt3TUSsUfBwtgKxP1KX9eydGybcEdTlDx4P9zgoDs15K6dkNGRCviFXYPsirMLMnfaRnTkSEeExPB9h4cMxYfnn0VnE5MCmeQ6rH4BrH5gSS4PvN7ErbFtjgKMQZG8ussLkCxxR6WbuwUHDonazwmjAYHwhTYe/sLa3mHuAL+1jtsTgS+GlRJpbKQTarastQDB/K0aiQL4RA6CqnVkXAJAjXkC1mHD2B24tmhEU11Q0lJVklvgFC2CsRdr5HqXIYqmw1i/00YR4cXMTSdviSZZql4suDoG0nZd3K4BJ2oh94JPcFP4ph20UH4HN8hFV1KpqXsEDPPV5W/YDR0pBtSKXzuUeaD5ALJ8dK3wNlFGR/EFsQtBsEPanwvjVYrcUZwcNR3G/K3g+t4MCciMyGLw/FQrt36mgzD+xDVUqpchDPfutvt6z5vUqLHx14kyZot6bApf3AdHB5bFAqfF4MBlPLeQJXvP7pMtfOBmfhPXoSoD/B8g7H8popQ4hX5haaUuIdabXms6HSs/atdg+06HXYrICatMzvUa4vKC4DFW8mZUdDXBFccQMWuuACzRtXKJcLawSY0ODIx6Lt5OaKoAVehFc111f7MCxCLN8BZmY/QgHo07R8R1CaXrnA6WQ65+Gk3ALsmldlu3MqEXgA5TxQfWsdvApcpYlaBaBVilDBV4EapaV/xVj3plLBqcAD1WgZ23XKtOniROCRlFwqw7ouigh0gdesEAK6mUETeI1PMKNqO4rAI7XVukhLc6hgfQKCmpC6C5vQ0hzWEUUrgde5loqAC2zbLxOMBV7nk8sSztocJDYS+DoWds4hU6FrCzwJu88hE/Oi23A4CXstWrEYnTJ6McRDqkLZZVQyKbQ4ZBK2GOUqSkF21I4UpRWpiobXWthv/XALOXV4M8alttLtwVJkrdej2qDVBdKn94w/2O8mhoD0rGtZy/hamxI2V33i2M0s7xGJUtNSpuG1FTZkd7EHAxCFTahpEdagEVXmrGSD1QdweoLN3tU5g6TBJdFbRRpe24r3xbOjps2IZIhWoWsEbhsNCxlej1BIm3bUO5S7xejsJHKIyI6oI0+ehLfsH9DwVrvnvI9NVcBxFxlwHAa8F0TWbDkWTUqQGacYvK147h+8F3gSVN+vS1Hgtd29YfPPVYC8chC87Ym6Yk1fttivkyMWIbDDoo4LCBwEb1EweKDfHPtnRyvBFBrHD9p3/LQpRUJX7Rm1L4VK7EtRY9DfjssEjrH9X3csq771zUpu3GbqKi8VdzBHpbCCLblJqW0iz3PPbFB+r0th5wGt2ttw1WU7cnUJHlnIpPYCV/W/yxqoI5E1DGykCdMvDXpEL+GJBj3lu+7BaD2jQqPOHorNkt4VtZ40ocpzaNRa4KEVdK99WxlfdlmHWgt8x+PqNtxXrdxaCzzECv21FXiILWVIXQUO7qCuwH003YAd/GFauqgWe5kwSUI2bMjNPobpTn00ix9XbWl8TZrDtChXMAIPtc8PFiBw2MY/4euGeZepYlLlemEYinC5qvkKk9epw5tSu5n7LBNXlTnBQwjVLauQbOceVeAQLPrwDdTcvNpQbLM+a/vFYha2p8Z3GZnA87ZVNsSs2R5cwn4rB5SVJtKxu8rwoOHcTlUrplc7oJH7ESKuNZytm8UKPG0me4DtNmhdqw8eTWh45LvbVOBMscMruoVQEPeQ7viTgMUUy/ANTJqmrVJi5t1ffeZy9EvFX/C8lOsYd4qh0yBxnOLGq+DM66eJcpJt/rzzXD0UHHooXMUV+eHWWu4hOTJoRIoramCKouW659hrNPkui14oW2ku2N7VpAWX40lsAFfNp8t6ApV1jLX2WKCJnc7kCZsSWMUGjvzsE+l7Ft6/i3KvAlNlL8piKdtt765zjCOPoct6bsqAjoXnL8m118GEuSorfy1r0XutzB6pAgJQgd3D3EtXrKqPPfyB8lWu6/aQIlSKjEk3IMAe2VaYAAGAMJZO6JfhPvLmoGmAbTuIvX984yuryg8OzvRMqLxJtUWvdaLHFaqBMmCTWXYdMAW2ZTaQu30vqVbn1ImH7zQfz31AWDLzcvzgJtvbKIG4TljV6QmkLHDaYqt0BlYBzEuZ0HWrPlSNbrsC3SbU8xj+edXbcVj228TUaqsT9c+NhS4rg/TjX9wxvbQyGPbbdF4zen5NhS4TNrh2824WIwPY2m8bJ8LYYFKha9l0WWzFdWEBDGw9NqsZitp0Ze+lrKO3o4KNa7Cw3ysY7rG1SwDei85AFs7zTYavnG5D+z3b7TRRDhCj+WBU6NIwwGvvuJ8UyzCw32MYiVI5qE4vDUtKA15QkJGHowqZpkDr9SHsDrPoqwwIeFFtF3oxsCznRQNdZ9xqRCDHXPW5d7asAy+GCp67XcfzSFyvMt+Q2+8JF1rN4nwdDdt1IsEfO3vb9e0HKImRT1FBO+8I4C1wwQi+b2p4E5gsWojIKu0OO+SjNW+O90gRY2pgcl0pbhy/5MiOM/Y71+ZRl614RVTe1z7nXz/87OL3n96QnabD2r2HUMJH17+49R//86fZF54dmUO5qCXBCLwILTsHcebdiscal+kRyIs+26brEqzAQ4bWWX+Clq8apUpB6O9sO3qBcwGm7hY9tJz/e60KExg7ScEL0KqCuzUsWdWs0gcArOgi3ZhLUNalgtNq3pP0vycDGJJLlujh/kWX6+dQqb2CU3dimirzempPXsYqPYc+V3e3p3YKTrtsTa8Dy4zNMlX4Rb+3dUv0Ck595vnUrhkdUPiZkCMkKkSn4NR/njM5upuw4jRV+Kj8+CgUnPrR83Uuch4ZYN0nY/DfQ954GKWr/6TUYbNElT1Iyx6cgrfavRmf9SoTqMxiZgNiEISC023ixbRQrA0r1KpXvulUqYLTkB636XuiNkz5TGcrUomCt9q9+RQFWXcsVFFHzauCJ8VO+FZ0LwqeFDvBwYuiO1Xw5GMnFHDqoztRcBoVuZiSmxKKQPLXbhdRF/QzVK12DxT7UlLuhAagK5da7R56oheaBW+1e3Dc6V2UiyXWOxNYSV4oFpxa7aTcEfNI84GQBn8By5pbWXCaBHU5uSNxAiVkoZsuW7ED6kdWVaeXA/jm4zZJXcYWvNXuwaGCq0m54wOKLEHJAaizzCo3lIcMSLkJ1a2r1P01wsiCp7h2nIAb8t6JUW6tPChkEniFyNPdTnNa4X0DaCs49bdTCmtkHD+4kRzaMyIcNBRxvxJ+V6tl3SpvWi5Kq927lpQ7PsBqlyk3tOyJQLmBXa12TytWrqzgVLlTOmtkXDj1MPnWY+UtVD62bJvhmSepLiqh5KIk5Y4TUG7dmqbQ2xfqTHvod26LkrsiVfDkc8fJ269sHWjvZQooOxR2Dyy6krMk69tTquApWhInsgWlKdCy4bV3bis1D/RIaXRFqOApEzBOYPPGpI+gCbA4hbLrtq3vEBBmJHIVnO5QXq161Al9TPxuDMC6gztTYXvxMd7JfpEkalW+a70w+b2Rytoxwn1PTm3KdkhlPd4cwbXga6RBt+BTXb8I+dEPNq7nr7+PutUD8B731/2OK4GB655SkbCmjceAD56K7sTLr89sc96P8QMaGwd/GzaHoOHmlf+9vwMaUNx8oPhQcYsrKXeEQOsubOUGJd43ezPU+HcZoMN9Be+7KNT3TkTIpIOY9/M/WY1RuTNYX5z1wb0XZUnggLFjyQI7lwHEtm0YVHB6Cj5FTiLkO8jKDcRquRl20b2cvgU3PjGRqBaPrXNjI9PpXMGdtApPuGeHJBXWhEfDOoBsSqbTuYKnbMFIwfa/Cd2VrAHgdvtvnp7Aw4X/XSOy8wsN2qUsESEurHedAN1OFjxRa5KCR4wrFyWC42rKJAWPFIieJBdFTlLwSIGSawk5oOBRda5d74DlhgMFLkN5kGhVB6BC7TAUHW+1e+tdb4Jmy0ND2SFiXznfkeehDJBvgy2nzR7/gOKCRd5M/81/hhqCVW62fFwPCw463Vfwy0nBzegr5uPDWU42/Ltl5OufY6QmFjwroJ8rOBwyfrna8VRDHmrLIxLFn9cbH9QnRPi1goMzHrsfDlYUlBIsKihpzBa0SiIpwiklb4HCpqItxFDFChR5z84NZHLPN6RFJRP61CSCcjr/H1ZDgi3TBjnPxw9uqkuWW9Dkh4gjp18jpXiqPphCm2CpoYBkstJ+qUHIeKDqbFF74DTyBf9jGgSrMmpCj5osMGfYHwbmfOqYL3kfEgXiv1DfIyl3NZy/HFTVWBOWiv01eU5tJeUjwCW5cHIsRT4q5P2wyiKbIC/dRnsSHvU9spOHN/u+ZYIBuqxFvsEzpVxdtttpzuVbnb7YM15+OhzCV1CvA3o5JvCJ3HovieqDl4Uo4Nj9NV+NXmH1zibwi5Lu0zlENwTWtUGH1bI2JkIFB3NPCwJ5K4Rfp5MkMQHuScQ7mONlL5bunFB/fAJ9SBakhwCfiN2TCVkfe+nWIA27TKEOyxLoDZPAA9Y2ETJVDAnyUNr7pg58MEoOjY8SOMDmToS1CIVNp4ooJ3fQCx7AGqENEM46dva203vALBGpZdPiTHzGYkJVuYnuoeNup7kYik8O3bxc/nGgg8Fr79wh+2bre2QVQq+RrWl2qrglLNrpefQGYxCeMRkhJqDgruLi+flHiC48/dKNrF1H3YhohlqlbQIv635QqVe9iFCyD101P4UHiJ0lIG331OHNlaUTwEP2/N+vZg8dRkJaJJmDSj3pRVgpOPm69UkQndmgVohsR1QXkRKAhYe+lD4aP8FDVnQlbBUcrDe4YIFzlO6qG2Ot4OS+Eoz63PUsI0vaOvUwmuLpKALssn6bHpd7dFtDKZcdNlkgigEKfCXbcPlSKSfEVsEnjt0MOfcEXJIneLkluqAoeE6r3ZsL5fAyuC1v/91WFEUHHzy0UJqNgkOE6NWff4o+JiQG2gDagnoGrNtpTtMF6HX/chkErOFTL97IoiC/sdyGhuNydSLQfYQVupBEU27iojYhTCvdTvOJUGLmoOh7Z29lVtg0of/AMxuywxh1AKx3gK4JxLbHMVySIs5O8ULMvNtpDrEnnKvmUYtDy889syGUr2FFYNYbFpFDurFtHZyf6KVuy3Sr3avs1D6E9g5YKmgdzisGZL0Xup2ml76s3o6s0y806VPRjx/cmBWttCHwBZkWAVhvb4qd470mA6PoTiMuELKzUW7YVAHfvS6VViu23tbxbFMqq6QDrgv10Q+42PaHuLLpNj64IxCBqVMZ4Qqs9ypdPA5VpdwkhA4PdDE6SsOLqOdA59+/a5Qsldc4rAuerfcSDfeNulw8qoK60YNFq93bT8tvoeyMwu7m0okxrdJvEFI88uYnjr+pOTobPR52LcFa7w9BoYsEWewvt+rUhTlq68LALuTEq7/XioNDTksdrLhD673KhPmCsNY8grTgImhi14yNZYckKdVWICFHUFQtOHKaASj1JD0XEAVRKTgL7dA8Y5KuCxGWc6+oPSOhJiWpKDhSxiCsi6ZNcrFDIFoFL9Jq9yapwn9T5f2qWYehppWqKLih9YY8ohmdY2EhUxsFL6Jq4R0qilNk49Z4MCHqMReqD21LbRW8CM1Z30//28e+LPPLQ7TiMgUXPJSgzIt1sc4qrBsFF9Fq9yDzcfdfPbWhfeZvNn+35H2Vj5VFpOC379679w8X//jRT//pzk+pMq/rRr/rXsFlnPvl3ektGxu7lv/z85F/+eCzPyeEPFnxkCBv+vLL+x/6csvI0H+98OxIZbuEMZAU3BG0rqPqSehrshJkCQMIIf8PPG6eWS+QRt8AAAAASUVORK5CYII=",x="data:image/png;base64,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",Z="data:image/png;base64,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",X="data:image/png;base64,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From the helpful companionship of ",(0,t.jsx)(n.a,{href:"https://tr.wikipedia.org/wiki/C-3PO",children:"C3PO"})," and ",(0,t.jsx)(n.a,{href:"https://en.wikipedia.org/wiki/J.A.R.V.I.S.",children:"Jarvis"})," to the strategic alliances in ",(0,t.jsx)(n.a,{href:"https://www.imdb.com/title/tt2934286/",children:"Halo"}),", these stories showcase a future where technology amplifies human potential."]}),"\n",(0,t.jsx)(n.h3,{id:"jans-role-in-shaping-the-future",children:"Jan's Role in Shaping the Future"}),"\n",(0,t.jsx)(n.p,{children:"Jan is our contribution to this future - a tool designed to augment human capabilities, not replace them. We are committed to developing AI that works for humanity, enhancing our creativity, productivity, and well-being. 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",(0,t.jsx)(n.strong,{children:"Jan quickly curates"})," a list of resources and connects Emre with a virtual mentor, making learning accessible and enjoyable."]}),"\n",(0,t.jsxs)(n.p,{children:["In the afternoon, Emre takes a break to connect with nature. His smart garden, ",(0,t.jsx)(n.strong,{children:"managed by Jan"}),", is thriving, blending technology with the natural world in perfect harmony."]}),"\n",(0,t.jsxs)(n.p,{children:["As the day winds down, Emre reflects on his accomplishments. 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From the helpful companionship of ",(0,t.jsx)(n.a,{href:"https://tr.wikipedia.org/wiki/C-3PO",children:"C3PO"})," and ",(0,t.jsx)(n.a,{href:"https://en.wikipedia.org/wiki/J.A.R.V.I.S.",children:"Jarvis"})," to the strategic alliances in ",(0,t.jsx)(n.a,{href:"https://www.imdb.com/title/tt2934286/",children:"Halo"}),", these stories showcase a future where technology amplifies human potential."]}),"\n",(0,t.jsx)(n.h3,{id:"jans-role-in-shaping-the-future",children:"Jan's Role in Shaping the Future"}),"\n",(0,t.jsx)(n.p,{children:"Jan is our contribution to this future - a tool designed to augment human capabilities, not replace them. We are committed to developing AI that works for humanity, enhancing our creativity, productivity, and well-being. With Jan, we aim to empower individuals and communities to achieve more, together."}),"\n",(0,t.jsx)(n.p,{children:"Our vision is not just a dream, it's a blueprint for a future where technology and humanity harmonize to unlock unprecedented possibilities."}),"\n",(0,t.jsx)(n.h2,{id:"how-we-imagine-the-world-in-the-future",children:"How we imagine the world in the future"}),"\n",(0,t.jsxs)(n.p,{children:["We are fundamentally optimistic about the future. Jan aligns with the ",(0,t.jsx)(n.a,{href:"https://en.wikipedia.org/wiki/Solarpunk",children:"Solarpunk movement"}),", which envisions a world where technology and nature coexist and flourish together. We reject the notion of climate doomerism and instead, focus on the positive impact we can make with AI."]}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.img,{alt:"solarpunk and jan",src:i(74543).A+"",width:"1228",height:"906"})}),"\n",(0,t.jsx)(n.p,{children:"Imagine a world where every individual is empowered by their own robots, where machines are not just tools but partners in our journey. This is the future Jan is striving to create."}),"\n",(0,t.jsx)(n.p,{children:"Now, let's take a glimpse into this future through a day in the life of Emre, a reflection of how Jan's vision manifests in everyday life."}),"\n",(0,t.jsx)(n.h2,{id:"a-day-in-the-life-of-emre-in-2050",children:"A Day in the Life of Emre in 2050"}),"\n",(0,t.jsxs)(n.blockquote,{children:["\n",(0,t.jsxs)(n.p,{children:["In 2050, Emre wakes up to the gentle sound of birds chirping, a soothing alarm created by ",(0,t.jsx)(n.strong,{children:"his own AI robot, Jan"}),". As he gets ready for the day, ",(0,t.jsx)(n.strong,{children:"Jan has already prepared"})," his schedule, factoring in his preferences and the day's weather."]}),"\n",(0,t.jsxs)(n.p,{children:["At breakfast, Emre discusses his upcoming project with ",(0,t.jsx)(n.strong,{children:"Jan, who offers insights and suggestions"}),", enhancing Emre's creativity. As he heads to work, his self-driving car, ",(0,t.jsx)(n.strong,{children:"integrated with Jan"}),", takes the most scenic and efficient route, allowing Emre to enjoy a moment of tranquility."]}),"\n",(0,t.jsxs)(n.p,{children:["In the office, Emre collaborates with colleagues from around the globe in a virtual workspace. ",(0,t.jsx)(n.strong,{children:"Jan assists"})," by translating languages in real-time and organizing ideas, making collaboration seamless and productive."]}),"\n",(0,t.jsxs)(n.p,{children:["During lunch, Emre decides to explore a new hobby. ",(0,t.jsx)(n.strong,{children:"Jan quickly curates"})," a list of resources and connects Emre with a virtual mentor, making learning accessible and enjoyable."]}),"\n",(0,t.jsxs)(n.p,{children:["In the afternoon, Emre takes a break to connect with nature. His smart garden, ",(0,t.jsx)(n.strong,{children:"managed by Jan"}),", is thriving, blending technology with the natural world in perfect harmony."]}),"\n",(0,t.jsxs)(n.p,{children:["As the day winds down, Emre reflects on his accomplishments. ",(0,t.jsx)(n.strong,{children:"With Jan's help"}),", he's been able to focus on what truly matters, achieving a balance between work, personal growth, and well-being."]}),"\n",(0,t.jsxs)(n.p,{children:["In 2050, Jan is more than just a tool, it's an integral part of Emre's life, ",(0,t.jsx)(n.strong,{children:"augmenting his abilities"})," and enabling him to live a more fulfilling life."]}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"What a day, hah!"}),"\n",(0,t.jsx)(n.hr,{}),"\n",(0,t.jsx)(n.p,{children:"Jan's vision commits to developing thinking machines that work alongside humans - learning, adapting, and contributing to a broader, smarter society. This journey isn't just about technology. It's about creating a future where humans and machines collaborate."}),"\n",(0,t.jsx)(n.p,{children:"Let's build the future together - join the journey!"})]})}function d(e={}){const{wrapper:n}={...(0,a.R)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(c,{...e})}):c(e)}},74543:(e,n,i)=>{i.d(n,{A:()=>t});const t=i.p+"assets/images/solar-punk-ae041e735df021ac9ce8d29019deb9ed.webp"},18009:(e,n,i)=>{i.d(n,{A:()=>t});const t=i.p+"assets/images/vision-1-8f3b584333940bb52f0588debd26dcf6.webp"},28453:(e,n,i)=>{i.d(n,{R:()=>s,x:()=>r});var t=i(96540);const a={},o=t.createContext(a);function s(e){const n=t.useContext(o);return t.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function r(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(a):e.components||a:s(e.components),t.createElement(o.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/2f9d99a9.1b7afe31.js b/assets/js/2f9d99a9.1b7afe31.js deleted file mode 100644 index 837be4b5..00000000 --- a/assets/js/2f9d99a9.1b7afe31.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[3088],{10320:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>l,contentTitle:()=>o,default:()=>h,frontMatter:()=>r,metadata:()=>a,toc:()=>d});var s=t(74848),i=t(28453);const r={title:"Selecting AI Hardware"},o=void 0,a={id:"hardware/recommendations/by-hardware",title:"Selecting AI Hardware",description:"When selecting a GPU for LLMs, remember that it's not just about the GPU itself. Consider the synergy with other components in your PC:",source:"@site/docs/hardware/recommendations/by-hardware.md",sourceDirName:"hardware/recommendations",slug:"/hardware/recommendations/by-hardware",permalink:"/hardware/recommendations/by-hardware",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/hardware/recommendations/by-hardware.md",tags:[],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1711818688,formattedLastUpdatedAt:"Mar 30, 2024",frontMatter:{title:"Selecting AI Hardware"}},l={},d=[{value:"GPU Selection",id:"gpu-selection",level:2},{value:"GPU Comparison",id:"gpu-comparison",level:3},{value:"Other Considerations",id:"other-considerations",level:3},{value:"CPU Selection",id:"cpu-selection",level:2},{value:"Here are some CPU options for running LLMs:",id:"here-are-some-cpu-options-for-running-llms",level:3},{value:"RAM Selection",id:"ram-selection",level:2},{value:"Here is a general guide to RAM selection for running LLMs:",id:"here-is-a-general-guide-to-ram-selection-for-running-llms",level:3},{value:"Motherboard Selection",id:"motherboard-selection",level:2},{value:"Cooling System Selection",id:"cooling-system-selection",level:2},{value:"Use MacBook to run LLMs",id:"use-macbook-to-run-llms",level:2},{value:"Calculating vRAM Requirements for an LLM",id:"calculating-vram-requirements-for-an-llm",level:2}];function c(e){const n={blockquote:"blockquote",code:"code",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,i.R)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(n.p,{children:"When selecting a GPU for LLMs, remember that it's not just about the GPU itself. Consider the synergy with other components in your PC:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"CPU"}),": To ensure efficient processing, pair your GPU with a powerful CPU. LLMs benefit from fast processors, so having a capable CPU is essential."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"RAM"}),": Sufficient RAM is crucial for LLMs. They can be memory-intensive, and having enough RAM ensures smooth operation."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Cooling System"}),": LLMs can push your PC's hardware to the limit. A robust cooling system helps maintain optimal temperatures, preventing overheating and performance throttling."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"By taking all of these factors into account, you can build a home PC setup that's well-equipped to handle the demands of running LLMs effectively and efficiently."}),"\n",(0,s.jsx)(n.h2,{id:"gpu-selection",children:"GPU Selection"}),"\n",(0,s.jsx)(n.p,{children:"Selecting the optimal GPU for running Large Language Models (LLMs) on your home PC is a decision influenced by your budget and the specific LLMs you intend to work with. Your choice should strike a balance between performance, efficiency, and cost-effectiveness."}),"\n",(0,s.jsx)(n.h3,{id:"gpu-comparison",children:"GPU Comparison"}),"\n",(0,s.jsxs)(n.table,{children:[(0,s.jsx)(n.thead,{children:(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.th,{children:"GPU"}),(0,s.jsx)(n.th,{children:"Price"}),(0,s.jsx)(n.th,{children:"Cores"}),(0,s.jsx)(n.th,{children:"VRAM (GB)"}),(0,s.jsx)(n.th,{children:"Bandwth (T/s)"}),(0,s.jsx)(n.th,{children:"Power"})]})}),(0,s.jsxs)(n.tbody,{children:[(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia H100"}),(0,s.jsx)(n.td,{children:"40000"}),(0,s.jsx)(n.td,{children:"18432"}),(0,s.jsx)(n.td,{children:"80"}),(0,s.jsx)(n.td,{children:"2"}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia A100"}),(0,s.jsx)(n.td,{children:"15000"}),(0,s.jsx)(n.td,{children:"6912"}),(0,s.jsx)(n.td,{children:"80"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia A100"}),(0,s.jsx)(n.td,{children:"7015"}),(0,s.jsx)(n.td,{children:"6912"}),(0,s.jsx)(n.td,{children:"40"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia A10"}),(0,s.jsx)(n.td,{children:"2799"}),(0,s.jsx)(n.td,{children:"9216"}),(0,s.jsx)(n.td,{children:"24"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia RTX A6000"}),(0,s.jsx)(n.td,{children:"4100"}),(0,s.jsx)(n.td,{children:"10752"}),(0,s.jsx)(n.td,{children:"48"}),(0,s.jsx)(n.td,{children:"0.768"}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia RTX 6000"}),(0,s.jsx)(n.td,{children:"6800"}),(0,s.jsx)(n.td,{children:"4608"}),(0,s.jsx)(n.td,{children:"46"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia RTX 4090 Ti"}),(0,s.jsx)(n.td,{children:"2000"}),(0,s.jsx)(n.td,{children:"18176"}),(0,s.jsx)(n.td,{children:"24"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia RTX 4090"}),(0,s.jsx)(n.td,{children:"1800"}),(0,s.jsx)(n.td,{children:"16384"}),(0,s.jsx)(n.td,{children:"24"}),(0,s.jsx)(n.td,{children:"1.008"}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia RTX 3090"}),(0,s.jsx)(n.td,{children:"1450"}),(0,s.jsx)(n.td,{children:"10496"}),(0,s.jsx)(n.td,{children:"24"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia RTX 3080"}),(0,s.jsx)(n.td,{children:"700"}),(0,s.jsx)(n.td,{children:"8704"}),(0,s.jsx)(n.td,{children:"12"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia RTX 3070"}),(0,s.jsx)(n.td,{children:"900"}),(0,s.jsx)(n.td,{children:"6144"}),(0,s.jsx)(n.td,{children:"8"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia L4"}),(0,s.jsx)(n.td,{children:"2711"}),(0,s.jsx)(n.td,{children:"7424"}),(0,s.jsx)(n.td,{children:"24"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia T4"}),(0,s.jsx)(n.td,{children:"2299"}),(0,s.jsx)(n.td,{children:"2560"}),(0,s.jsx)(n.td,{children:"16"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"AMD Radeon RX 6900 XT"}),(0,s.jsx)(n.td,{children:"1000"}),(0,s.jsx)(n.td,{children:"5120"}),(0,s.jsx)(n.td,{children:"16"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"AMD Radeon RX 6800 XT"}),(0,s.jsx)(n.td,{children:"420"}),(0,s.jsx)(n.td,{children:"4608"}),(0,s.jsx)(n.td,{children:"16"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]})]})]}),"\n",(0,s.jsx)(n.p,{children:"*Market prices as of Oct 2023 via Amazon/PCMag"}),"\n",(0,s.jsx)(n.h3,{id:"other-considerations",children:"Other Considerations"}),"\n",(0,s.jsx)(n.p,{children:"In general, the following GPU features are important for running LLMs:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"High VRAM:"}),"\xa0LLMs are typically very large and complex models, so they require a GPU with a high amount of VRAM. This will allow the model to be loaded into memory and processed efficiently."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"CUDA Compatibility:"})," When running LLMs on a GPU, CUDA compatibility is paramount. CUDA is NVIDIA's parallel computing platform, and it plays a vital role in accelerating deep learning tasks. LLMs, with their extensive matrix calculations, heavily rely on parallel processing. Ensuring your GPU supports CUDA is like having the right tool for the job. It allows the LLM to leverage the GPU's parallel processing capabilities, significantly speeding up model training and inference."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Number of CUDA, Tensor, and RT Cores:"})," High-performance NVIDIA GPUs have both CUDA and Tensor cores. These cores are responsible for executing the neural network computations that underpin LLMs' language understanding and generation. The more CUDA cores your GPU has, the better equipped it is to handle the massive computational load that LLMs impose. Tensor cores in your GPU, further enhance LLM performance by accelerating the critical matrix operations integral to language modeling tasks."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Generation (Series)"}),": When selecting a GPU for LLMs, consider its generation or series (e.g., RTX 30 series). Newer GPU generations often come with improved architectures and features. For LLM tasks, opting for the latest generation can mean better performance, energy efficiency, and support for emerging AI technologies. Avoid purchasing, RTX-2000 series GPUs which are much outdated nowadays."]}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"cpu-selection",children:"CPU Selection"}),"\n",(0,s.jsx)(n.p,{children:"Selecting the right CPU for running Large Language Models (LLMs) on your home PC is contingent on your budget and the specific LLMs you intend to work with. It's a decision that warrants careful consideration, as the CPU plays a pivotal role in determining the overall performance of your system."}),"\n",(0,s.jsx)(n.p,{children:"In general, the following CPU features are important for running LLMs:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Number of Cores and Threads:"}),"\xa0the number of CPU cores and threads influences parallel processing. More cores and threads help handle the complex computations involved in language models. For tasks like training and inference, a higher core/thread count can significantly improve processing speed and efficiency, enabling quicker results."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"High clock speed:"}),"\xa0The base clock speed, or base frequency, represents the CPU's default operating speed. So having a CPU with a high clock speed. This will allow the model to process instructions more quickly, which can further improve performance."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Base Power (TDP):"})," LLMs often involve long training sessions and demanding computations. Therefore, a lower Thermal Design Power (TDP) is desirable. A CPU with a lower TDP consumes less power and generates less heat during prolonged LLM operations. This not only contributes to energy efficiency but also helps maintain stable temperatures in your system, preventing overheating and potential performance throttling."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Generation (Series):"})," Consider its generation or series (e.g., 9th Gen, 11th Gen Intel Core). Newer CPU generations often come with architectural improvements that enhance performance and efficiency. For LLM tasks, opting for a more recent generation can lead to faster and more efficient language model training and inference."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Support for AVX512:"}),"\xa0AVX512 is a set of vector instruction extensions that can be used to accelerate machine learning workloads. Many LLMs are optimized to take advantage of AVX512, so it is important to make sure that your CPU supports this instruction set."]}),"\n"]}),"\n",(0,s.jsx)(n.h3,{id:"here-are-some-cpu-options-for-running-llms",children:"Here are some CPU options for running LLMs:"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Intel Core i7-12700K"}),": Slightly less potent than the Core i9-12900K, the Intel Core i7-12700K is still a powerful CPU. With 12 cores and 20 threads, it strikes a balance between performance and cost-effectiveness. This CPU is well-suited for running mid-sized and large LLMs, making it a compelling option."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Intel Core i9-12900K"}),": Positioned as a high-end CPU, the Intel Core i9-12900K packs a formidable punch with its 16 cores and 24 threads. It's one of the fastest CPUs available, making it an excellent choice for handling large and intricate LLMs. The abundance of cores and threads translates to exceptional parallel processing capabilities, which is crucial for tasks involving massive language models."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"AMD Ryzen 9 5950X"}),": Representing AMD's high-end CPU offering, the Ryzen 9 5950X boasts 16 cores and 32 threads. While it may not quite match the speed of the Core i9-12900K, it remains a robust and cost-effective choice. Its multicore prowess enables smooth handling of LLM workloads, and its affordability makes it an attractive alternative."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"AMD Ryzen 7 5800X"}),": Slightly less potent than the Ryzen 9 5950X, the Ryzen 7 5800X is still a formidable CPU with 8 cores and 16 threads. It's well-suited for running mid-sized and smaller LLMs, providing a compelling blend of performance and value."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"For those operating within budget constraints, there are more budget-friendly CPU options:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Intel Core i5-12600K"}),": The Core i5-12600K is a capable mid-range CPU that can still handle LLMs effectively, though it may not be optimized for the largest or most complex models."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"AMD Ryzen 5 5600X"}),": The Ryzen 5 5600X offers a balance of performance and affordability. It's suitable for running smaller to mid-sized LLMs without breaking the bank."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.strong,{children:"When selecting a CPU for LLMs, consider the synergy with other components in your PC:"})}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"GPU"}),": Pair your CPU with a powerful GPU to ensure smooth processing of LLMs. Some language models, particularly those used for AI, rely on GPU acceleration for optimal performance."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"RAM"}),": Adequate RAM is essential for LLMs, as these models can be memory-intensive. Having enough RAM ensures that your CPU can operate efficiently without bottlenecks."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Cooling System"}),": Given the resource-intensive nature of LLMs, a robust cooling system is crucial to maintain optimal temperatures and prevent performance throttling."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"By carefully weighing your budget and performance requirements and considering the interplay of components in your PC, you can assemble a well-rounded system that's up to the task of running LLMs efficiently."}),"\n",(0,s.jsxs)(n.blockquote,{children:["\n",(0,s.jsxs)(n.p,{children:["\ud83d\udcdd"," ",(0,s.jsx)(n.strong,{children:"Note:"})," It is important to note that these are just general recommendations. The specific CPU requirements for your LLM will vary depending on the specific model you are using and the tasks that you want to perform with it. If you are unsure what CPU to get, it is best to consult with an expert."]}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"ram-selection",children:"RAM Selection"}),"\n",(0,s.jsx)(n.p,{children:"The amount of RAM you need to run an LLM depends on the size and complexity of the model, as well as the tasks you want to perform with it. For example, if you are simply running inference on a pre-trained LLM, you may be able to get away with using a relatively modest amount of RAM. However, if you are training a new LLM from scratch, or if you are running complex tasks like fine-tuning or code generation, you will need more RAM."}),"\n",(0,s.jsx)(n.h3,{id:"here-is-a-general-guide-to-ram-selection-for-running-llms",children:"Here is a general guide to RAM selection for running LLMs:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Capacity:"}),"\xa0The amount of RAM you need will depend on the size and complexity of the LLM model you want to run. For inference, you will need at least 16GB of RAM, but 32GB or more is ideal for larger models and more complex tasks. For training, you will need at least 64GB of RAM, but 128GB or more is ideal for larger models and more complex tasks."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Speed:"}),"\xa0LLMs can benefit from having fast RAM, so it is recommended to use DDR4 or DDR5 RAM with a speed of at least 3200MHz."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Latency:"}),"\xa0RAM latency is the amount of time it takes for the CPU to access data in memory. Lower latency is better for performance, so it is recommended to look for RAM with a low latency rating."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Timing:"}),"\xa0RAM timing is a set of parameters that control how the RAM operates. It is important to make sure that the RAM timing is compatible with your motherboard and CPU."]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["R",(0,s.jsx)(n.strong,{children:"ecommended RAM"})," ",(0,s.jsx)(n.strong,{children:"options for running LLMs:"})]}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Inference:"}),"\xa0For inference on pre-trained LLMs, you will need at least 16GB of RAM. However, 32GB or more is ideal for larger models and more complex tasks."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Training:"}),"\xa0For training LLMs from scratch, you will need at least 64GB of RAM. However, 128GB or more is ideal for larger models and more complex tasks."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"In addition to the amount of RAM, it is also important to consider the speed of the RAM. LLMs can benefit from having fast RAM, so it is recommended to use DDR4 or DDR5 RAM with a speed of at least 3200MHz."}),"\n",(0,s.jsx)(n.h2,{id:"motherboard-selection",children:"Motherboard Selection"}),"\n",(0,s.jsx)(n.p,{children:"When picking a motherboard to run advanced language models, you need to think about a few things. First, consider the specific language model you want to use, the type of CPU and GPU in your computer, and your budget. Here are some suggestions:"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"ASUS ROG Maximus Z790 Hero:"})," This is a top-notch motherboard with lots of great features. It works well with Intel's latest CPUs, fast DDR5 memory, and PCIe 5.0 devices. It's also good at keeping things cool, which is important for running demanding language models."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"MSI MEG Z790 Ace:"})," Similar to the ASUS ROG Maximus, this motherboard is high-end and has similar features. It's good for running language models too."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Gigabyte Z790 Aorus Master:"})," This one is more budget-friendly but still works great with Intel's latest CPUs, DDR5 memory, and fast PCIe 5.0 devices. It's got a strong power system, which helps with running language models."]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["If you're on a tighter budget, you might want to check out mid-range options like the ",(0,s.jsx)(n.strong,{children:"ASUS TUF Gaming Z790-Plus WiFi"})," or the ",(0,s.jsx)(n.strong,{children:"MSI MPG Z790 Edge WiFi DDR5"}),". They offer good performance without breaking the bank."]}),"\n",(0,s.jsx)(n.p,{children:"No matter which motherboard you pick, make sure it works with your CPU and GPU. Also, check that it has the features you need, like enough slots for your GPU and storage drives."}),"\n",(0,s.jsx)(n.p,{children:"Other things to think about when choosing a motherboard for language models:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Cooling:"})," Language models can make your CPU work hard, so a motherboard with good cooling is a must. This keeps your CPU from getting too hot."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Memory:"})," Language models need lots of memory, so make sure your motherboard supports a good amount of it. Check if it works with the type of memory you want to use, like DDR5 or DDR4."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Storage:"})," Language models can create and store a ton of data. So, look for a motherboard with enough slots for your storage drives."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"BIOS:"})," The BIOS controls your motherboard. Make sure it's up-to-date and has the latest features, especially if you plan to overclock or undervolt your system."]}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"cooling-system-selection",children:"Cooling System Selection"}),"\n",(0,s.jsx)(n.p,{children:"Modern computers have two critical components, the CPU and GPU, which can heat up during high-performance tasks. To prevent overheating, they come with built-in temperature controls that automatically reduce performance when temperatures rise. To keep them cool and maintain optimal performance, you need a reliable cooling system."}),"\n",(0,s.jsx)(n.p,{children:"For laptops, the only choice is a fan-based cooling system. Laptops have built-in fans and copper pipes to dissipate heat. Many gaming laptops even have two separate fans: one for the CPU and another for the GPU."}),"\n",(0,s.jsx)(n.p,{children:"For desktop computers, you have the option to install more efficient water cooling systems. These are highly effective but can be expensive. Or you can install more cooling fans to keep you components cool."}),"\n",(0,s.jsx)(n.p,{children:"Keep in mind that dust can accumulate in fan-based cooling systems, leading to malfunctions. So periodically clean the dust to keep your cooling system running smoothly."}),"\n",(0,s.jsx)(n.h2,{id:"use-macbook-to-run-llms",children:"Use MacBook to run LLMs"}),"\n",(0,s.jsx)(n.p,{children:"An Apple MacBook equipped with either the M1 or the newer M2 Pro/Max processor. These cutting-edge chips leverage Apple's innovative Unified Memory Architecture (UMA), which revolutionizes the way the CPU and GPU interact with memory resources. This advancement plays a pivotal role in enhancing the performance and capabilities of LLMs."}),"\n",(0,s.jsxs)(n.p,{children:["Unified Memory Architecture, as implemented in Apple's M1 and M2 series processors, facilitates seamless and efficient data access for both the CPU and GPU. Unlike traditional systems where data needs to be shuttled between various memory pools, UMA offers a unified and expansive memory pool that can be accessed by both processing units without unnecessary data transfers. This transformative approach significantly minimizes latency while concurrently boosting data access bandwidth, resulting in substantial improvements in both the speed and quality of outputs.\n",(0,s.jsx)(n.img,{src:"https://media.discordapp.net/attachments/1148534242104574012/1156600109967089714/IMG_3722.webp?ex=6516380a&is=6514e68a&hm=ebe3b6ecb1edb44cde58bd8d3fdd46cef66b60aa41ea6c03b51325fa65f8517e&=&width=807&height=426",alt:"UMA"})]}),"\n",(0,s.jsx)(n.p,{children:"The M1 and M2 Pro/Max chips offer varying levels of unified memory bandwidth, further underscoring their prowess in handling data-intensive tasks like AI processing. The M1/M2 Pro chip boasts an impressive capacity of up to 200 GB/s of unified memory bandwidth, while the M1/M2 Max takes it a step further, supporting up to a staggering 400 GB/s of unified memory bandwidth. This means that regardless of the complexity and demands of the AI tasks at hand, these Apple laptops armed with M1 or M2 processors are well-equipped to handle them with unparalleled efficiency and speed."}),"\n",(0,s.jsx)(n.h2,{id:"calculating-vram-requirements-for-an-llm",children:"Calculating vRAM Requirements for an LLM"}),"\n",(0,s.jsxs)(n.p,{children:[(0,s.jsx)(n.strong,{children:"For example:"})," Calculating the VRAM required to run a 13-billion-parameter Large Language Model (LLM) involves considering the model size, batch size, sequence length, token size, and any additional overhead. Here's how you can estimate the VRAM required for a 13B LLM:"]}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Model Size"}),": Find out the size of the 13B LLM in terms of the number of parameters. This information is typically provided in the model's documentation. A 13-billion-parameter model has 13,000,000,000 parameters."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Batch Size"}),": Decide on the batch size you want to use during inference. The batch size represents how many input samples you process simultaneously. Smaller batch sizes require less VRAM."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Sequence Length"}),": Determine the average length of the input text sequences you'll be working with. Sequence length can impact VRAM requirements; longer sequences need more memory."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Token Size"}),": Understand the memory required to store one token in bytes. Most LLMs use 4 bytes per token."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Overhead"}),": Consider any additional memory overhead for intermediate computations and framework requirements. Overhead can vary but should be estimated based on your specific setup."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"Use the following formula to estimate the VRAM required:"}),"\n",(0,s.jsxs)(n.p,{children:[(0,s.jsx)(n.strong,{children:"VRAM Required (in gigabytes)"})," = ",(0,s.jsx)(n.code,{children:"Model Parameters x Token Size x Batch Size x Sequence Length + Overhead"})]}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Model Parameters"}),": 13,000,000,000 parameters for a 13B LLM."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Token Size"}),": Usually 4 bytes per token."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Batch Size"}),": Choose your batch size."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Sequence Length"}),": The average length of input sequences."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Overhead"}),": Any additional VRAM required based on your setup."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"Here's an example:"}),"\n",(0,s.jsx)(n.p,{children:"Suppose you want to run a 13B LLM with the following parameters:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Batch Size"}),": 4"]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Sequence Length"}),": 512 tokens"]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Token Size"}),": 4 bytes"]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Estimated Overhead"}),": 2 GB"]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["VRAM Required (in gigabytes) = ",(0,s.jsx)(n.code,{children:"(13,000,000,000 x 4 x 4 x 512) + 2"})]}),"\n",(0,s.jsxs)(n.p,{children:["VRAM Required (in gigabytes) = ",(0,s.jsx)(n.code,{children:"(8,388,608,000) + 2,000"})]}),"\n",(0,s.jsxs)(n.p,{children:["VRAM Required (in gigabytes) \u2248 ",(0,s.jsx)(n.code,{children:"8,390,608,000 bytes"})]}),"\n",(0,s.jsxs)(n.p,{children:["To convert this to gigabytes, divide by ",(0,s.jsx)(n.code,{children:"1,073,741,824 (1 GB)"})]}),"\n",(0,s.jsxs)(n.p,{children:["VRAM Required (in gigabytes) \u2248 ",(0,s.jsx)(n.code,{children:"8,390,608,000 / 1,073,741,824 \u2248 7.8 GB"})]}),"\n",(0,s.jsx)(n.p,{children:"So, to run a 13-billion-parameter LLM with the specified parameters and overhead, you would need approximately 7.8 gigabytes of VRAM on your GPU. Make sure to have some additional VRAM for stable operation and consider testing the setup in practice to monitor VRAM usage accurately."})]})}function h(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(c,{...e})}):c(e)}},28453:(e,n,t)=>{t.d(n,{R:()=>o,x:()=>a});var s=t(96540);const i={},r=s.createContext(i);function o(e){const n=s.useContext(r);return s.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function a(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(i):e.components||i:o(e.components),s.createElement(r.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/2f9d99a9.f82abd7d.js b/assets/js/2f9d99a9.f82abd7d.js new file mode 100644 index 00000000..d5f75c61 --- /dev/null +++ b/assets/js/2f9d99a9.f82abd7d.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[3088],{10320:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>l,contentTitle:()=>o,default:()=>h,frontMatter:()=>r,metadata:()=>a,toc:()=>d});var s=t(74848),i=t(28453);const r={title:"Selecting AI Hardware"},o=void 0,a={id:"hardware/recommendations/by-hardware",title:"Selecting AI Hardware",description:"When selecting a GPU for LLMs, remember that it's not just about the GPU itself. Consider the synergy with other components in your PC:",source:"@site/docs/hardware/recommendations/by-hardware.md",sourceDirName:"hardware/recommendations",slug:"/hardware/recommendations/by-hardware",permalink:"/hardware/recommendations/by-hardware",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/hardware/recommendations/by-hardware.md",tags:[],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1712027706,formattedLastUpdatedAt:"Apr 2, 2024",frontMatter:{title:"Selecting AI Hardware"}},l={},d=[{value:"GPU Selection",id:"gpu-selection",level:2},{value:"GPU Comparison",id:"gpu-comparison",level:3},{value:"Other Considerations",id:"other-considerations",level:3},{value:"CPU Selection",id:"cpu-selection",level:2},{value:"Here are some CPU options for running LLMs:",id:"here-are-some-cpu-options-for-running-llms",level:3},{value:"RAM Selection",id:"ram-selection",level:2},{value:"Here is a general guide to RAM selection for running LLMs:",id:"here-is-a-general-guide-to-ram-selection-for-running-llms",level:3},{value:"Motherboard Selection",id:"motherboard-selection",level:2},{value:"Cooling System Selection",id:"cooling-system-selection",level:2},{value:"Use MacBook to run LLMs",id:"use-macbook-to-run-llms",level:2},{value:"Calculating vRAM Requirements for an LLM",id:"calculating-vram-requirements-for-an-llm",level:2}];function c(e){const n={blockquote:"blockquote",code:"code",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,i.R)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(n.p,{children:"When selecting a GPU for LLMs, remember that it's not just about the GPU itself. Consider the synergy with other components in your PC:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"CPU"}),": To ensure efficient processing, pair your GPU with a powerful CPU. LLMs benefit from fast processors, so having a capable CPU is essential."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"RAM"}),": Sufficient RAM is crucial for LLMs. They can be memory-intensive, and having enough RAM ensures smooth operation."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Cooling System"}),": LLMs can push your PC's hardware to the limit. A robust cooling system helps maintain optimal temperatures, preventing overheating and performance throttling."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"By taking all of these factors into account, you can build a home PC setup that's well-equipped to handle the demands of running LLMs effectively and efficiently."}),"\n",(0,s.jsx)(n.h2,{id:"gpu-selection",children:"GPU Selection"}),"\n",(0,s.jsx)(n.p,{children:"Selecting the optimal GPU for running Large Language Models (LLMs) on your home PC is a decision influenced by your budget and the specific LLMs you intend to work with. Your choice should strike a balance between performance, efficiency, and cost-effectiveness."}),"\n",(0,s.jsx)(n.h3,{id:"gpu-comparison",children:"GPU Comparison"}),"\n",(0,s.jsxs)(n.table,{children:[(0,s.jsx)(n.thead,{children:(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.th,{children:"GPU"}),(0,s.jsx)(n.th,{children:"Price"}),(0,s.jsx)(n.th,{children:"Cores"}),(0,s.jsx)(n.th,{children:"VRAM (GB)"}),(0,s.jsx)(n.th,{children:"Bandwth (T/s)"}),(0,s.jsx)(n.th,{children:"Power"})]})}),(0,s.jsxs)(n.tbody,{children:[(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia H100"}),(0,s.jsx)(n.td,{children:"40000"}),(0,s.jsx)(n.td,{children:"18432"}),(0,s.jsx)(n.td,{children:"80"}),(0,s.jsx)(n.td,{children:"2"}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia A100"}),(0,s.jsx)(n.td,{children:"15000"}),(0,s.jsx)(n.td,{children:"6912"}),(0,s.jsx)(n.td,{children:"80"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia A100"}),(0,s.jsx)(n.td,{children:"7015"}),(0,s.jsx)(n.td,{children:"6912"}),(0,s.jsx)(n.td,{children:"40"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia A10"}),(0,s.jsx)(n.td,{children:"2799"}),(0,s.jsx)(n.td,{children:"9216"}),(0,s.jsx)(n.td,{children:"24"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia RTX A6000"}),(0,s.jsx)(n.td,{children:"4100"}),(0,s.jsx)(n.td,{children:"10752"}),(0,s.jsx)(n.td,{children:"48"}),(0,s.jsx)(n.td,{children:"0.768"}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia RTX 6000"}),(0,s.jsx)(n.td,{children:"6800"}),(0,s.jsx)(n.td,{children:"4608"}),(0,s.jsx)(n.td,{children:"46"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia RTX 4090 Ti"}),(0,s.jsx)(n.td,{children:"2000"}),(0,s.jsx)(n.td,{children:"18176"}),(0,s.jsx)(n.td,{children:"24"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia RTX 4090"}),(0,s.jsx)(n.td,{children:"1800"}),(0,s.jsx)(n.td,{children:"16384"}),(0,s.jsx)(n.td,{children:"24"}),(0,s.jsx)(n.td,{children:"1.008"}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia RTX 3090"}),(0,s.jsx)(n.td,{children:"1450"}),(0,s.jsx)(n.td,{children:"10496"}),(0,s.jsx)(n.td,{children:"24"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia RTX 3080"}),(0,s.jsx)(n.td,{children:"700"}),(0,s.jsx)(n.td,{children:"8704"}),(0,s.jsx)(n.td,{children:"12"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia RTX 3070"}),(0,s.jsx)(n.td,{children:"900"}),(0,s.jsx)(n.td,{children:"6144"}),(0,s.jsx)(n.td,{children:"8"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia L4"}),(0,s.jsx)(n.td,{children:"2711"}),(0,s.jsx)(n.td,{children:"7424"}),(0,s.jsx)(n.td,{children:"24"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"Nvidia T4"}),(0,s.jsx)(n.td,{children:"2299"}),(0,s.jsx)(n.td,{children:"2560"}),(0,s.jsx)(n.td,{children:"16"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"AMD Radeon RX 6900 XT"}),(0,s.jsx)(n.td,{children:"1000"}),(0,s.jsx)(n.td,{children:"5120"}),(0,s.jsx)(n.td,{children:"16"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]}),(0,s.jsxs)(n.tr,{children:[(0,s.jsx)(n.td,{children:"AMD Radeon RX 6800 XT"}),(0,s.jsx)(n.td,{children:"420"}),(0,s.jsx)(n.td,{children:"4608"}),(0,s.jsx)(n.td,{children:"16"}),(0,s.jsx)(n.td,{}),(0,s.jsx)(n.td,{})]})]})]}),"\n",(0,s.jsx)(n.p,{children:"*Market prices as of Oct 2023 via Amazon/PCMag"}),"\n",(0,s.jsx)(n.h3,{id:"other-considerations",children:"Other Considerations"}),"\n",(0,s.jsx)(n.p,{children:"In general, the following GPU features are important for running LLMs:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"High VRAM:"}),"\xa0LLMs are typically very large and complex models, so they require a GPU with a high amount of VRAM. This will allow the model to be loaded into memory and processed efficiently."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"CUDA Compatibility:"})," When running LLMs on a GPU, CUDA compatibility is paramount. CUDA is NVIDIA's parallel computing platform, and it plays a vital role in accelerating deep learning tasks. LLMs, with their extensive matrix calculations, heavily rely on parallel processing. Ensuring your GPU supports CUDA is like having the right tool for the job. It allows the LLM to leverage the GPU's parallel processing capabilities, significantly speeding up model training and inference."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Number of CUDA, Tensor, and RT Cores:"})," High-performance NVIDIA GPUs have both CUDA and Tensor cores. These cores are responsible for executing the neural network computations that underpin LLMs' language understanding and generation. The more CUDA cores your GPU has, the better equipped it is to handle the massive computational load that LLMs impose. Tensor cores in your GPU, further enhance LLM performance by accelerating the critical matrix operations integral to language modeling tasks."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Generation (Series)"}),": When selecting a GPU for LLMs, consider its generation or series (e.g., RTX 30 series). Newer GPU generations often come with improved architectures and features. For LLM tasks, opting for the latest generation can mean better performance, energy efficiency, and support for emerging AI technologies. Avoid purchasing, RTX-2000 series GPUs which are much outdated nowadays."]}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"cpu-selection",children:"CPU Selection"}),"\n",(0,s.jsx)(n.p,{children:"Selecting the right CPU for running Large Language Models (LLMs) on your home PC is contingent on your budget and the specific LLMs you intend to work with. It's a decision that warrants careful consideration, as the CPU plays a pivotal role in determining the overall performance of your system."}),"\n",(0,s.jsx)(n.p,{children:"In general, the following CPU features are important for running LLMs:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Number of Cores and Threads:"}),"\xa0the number of CPU cores and threads influences parallel processing. More cores and threads help handle the complex computations involved in language models. For tasks like training and inference, a higher core/thread count can significantly improve processing speed and efficiency, enabling quicker results."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"High clock speed:"}),"\xa0The base clock speed, or base frequency, represents the CPU's default operating speed. So having a CPU with a high clock speed. This will allow the model to process instructions more quickly, which can further improve performance."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Base Power (TDP):"})," LLMs often involve long training sessions and demanding computations. Therefore, a lower Thermal Design Power (TDP) is desirable. A CPU with a lower TDP consumes less power and generates less heat during prolonged LLM operations. This not only contributes to energy efficiency but also helps maintain stable temperatures in your system, preventing overheating and potential performance throttling."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Generation (Series):"})," Consider its generation or series (e.g., 9th Gen, 11th Gen Intel Core). Newer CPU generations often come with architectural improvements that enhance performance and efficiency. For LLM tasks, opting for a more recent generation can lead to faster and more efficient language model training and inference."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Support for AVX512:"}),"\xa0AVX512 is a set of vector instruction extensions that can be used to accelerate machine learning workloads. Many LLMs are optimized to take advantage of AVX512, so it is important to make sure that your CPU supports this instruction set."]}),"\n"]}),"\n",(0,s.jsx)(n.h3,{id:"here-are-some-cpu-options-for-running-llms",children:"Here are some CPU options for running LLMs:"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Intel Core i7-12700K"}),": Slightly less potent than the Core i9-12900K, the Intel Core i7-12700K is still a powerful CPU. With 12 cores and 20 threads, it strikes a balance between performance and cost-effectiveness. This CPU is well-suited for running mid-sized and large LLMs, making it a compelling option."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Intel Core i9-12900K"}),": Positioned as a high-end CPU, the Intel Core i9-12900K packs a formidable punch with its 16 cores and 24 threads. It's one of the fastest CPUs available, making it an excellent choice for handling large and intricate LLMs. The abundance of cores and threads translates to exceptional parallel processing capabilities, which is crucial for tasks involving massive language models."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"AMD Ryzen 9 5950X"}),": Representing AMD's high-end CPU offering, the Ryzen 9 5950X boasts 16 cores and 32 threads. While it may not quite match the speed of the Core i9-12900K, it remains a robust and cost-effective choice. Its multicore prowess enables smooth handling of LLM workloads, and its affordability makes it an attractive alternative."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"AMD Ryzen 7 5800X"}),": Slightly less potent than the Ryzen 9 5950X, the Ryzen 7 5800X is still a formidable CPU with 8 cores and 16 threads. It's well-suited for running mid-sized and smaller LLMs, providing a compelling blend of performance and value."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"For those operating within budget constraints, there are more budget-friendly CPU options:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Intel Core i5-12600K"}),": The Core i5-12600K is a capable mid-range CPU that can still handle LLMs effectively, though it may not be optimized for the largest or most complex models."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"AMD Ryzen 5 5600X"}),": The Ryzen 5 5600X offers a balance of performance and affordability. It's suitable for running smaller to mid-sized LLMs without breaking the bank."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.strong,{children:"When selecting a CPU for LLMs, consider the synergy with other components in your PC:"})}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"GPU"}),": Pair your CPU with a powerful GPU to ensure smooth processing of LLMs. Some language models, particularly those used for AI, rely on GPU acceleration for optimal performance."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"RAM"}),": Adequate RAM is essential for LLMs, as these models can be memory-intensive. Having enough RAM ensures that your CPU can operate efficiently without bottlenecks."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Cooling System"}),": Given the resource-intensive nature of LLMs, a robust cooling system is crucial to maintain optimal temperatures and prevent performance throttling."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"By carefully weighing your budget and performance requirements and considering the interplay of components in your PC, you can assemble a well-rounded system that's up to the task of running LLMs efficiently."}),"\n",(0,s.jsxs)(n.blockquote,{children:["\n",(0,s.jsxs)(n.p,{children:["\ud83d\udcdd"," ",(0,s.jsx)(n.strong,{children:"Note:"})," It is important to note that these are just general recommendations. The specific CPU requirements for your LLM will vary depending on the specific model you are using and the tasks that you want to perform with it. If you are unsure what CPU to get, it is best to consult with an expert."]}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"ram-selection",children:"RAM Selection"}),"\n",(0,s.jsx)(n.p,{children:"The amount of RAM you need to run an LLM depends on the size and complexity of the model, as well as the tasks you want to perform with it. For example, if you are simply running inference on a pre-trained LLM, you may be able to get away with using a relatively modest amount of RAM. However, if you are training a new LLM from scratch, or if you are running complex tasks like fine-tuning or code generation, you will need more RAM."}),"\n",(0,s.jsx)(n.h3,{id:"here-is-a-general-guide-to-ram-selection-for-running-llms",children:"Here is a general guide to RAM selection for running LLMs:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Capacity:"}),"\xa0The amount of RAM you need will depend on the size and complexity of the LLM model you want to run. For inference, you will need at least 16GB of RAM, but 32GB or more is ideal for larger models and more complex tasks. For training, you will need at least 64GB of RAM, but 128GB or more is ideal for larger models and more complex tasks."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Speed:"}),"\xa0LLMs can benefit from having fast RAM, so it is recommended to use DDR4 or DDR5 RAM with a speed of at least 3200MHz."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Latency:"}),"\xa0RAM latency is the amount of time it takes for the CPU to access data in memory. Lower latency is better for performance, so it is recommended to look for RAM with a low latency rating."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Timing:"}),"\xa0RAM timing is a set of parameters that control how the RAM operates. It is important to make sure that the RAM timing is compatible with your motherboard and CPU."]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["R",(0,s.jsx)(n.strong,{children:"ecommended RAM"})," ",(0,s.jsx)(n.strong,{children:"options for running LLMs:"})]}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Inference:"}),"\xa0For inference on pre-trained LLMs, you will need at least 16GB of RAM. However, 32GB or more is ideal for larger models and more complex tasks."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Training:"}),"\xa0For training LLMs from scratch, you will need at least 64GB of RAM. However, 128GB or more is ideal for larger models and more complex tasks."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"In addition to the amount of RAM, it is also important to consider the speed of the RAM. LLMs can benefit from having fast RAM, so it is recommended to use DDR4 or DDR5 RAM with a speed of at least 3200MHz."}),"\n",(0,s.jsx)(n.h2,{id:"motherboard-selection",children:"Motherboard Selection"}),"\n",(0,s.jsx)(n.p,{children:"When picking a motherboard to run advanced language models, you need to think about a few things. First, consider the specific language model you want to use, the type of CPU and GPU in your computer, and your budget. Here are some suggestions:"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"ASUS ROG Maximus Z790 Hero:"})," This is a top-notch motherboard with lots of great features. It works well with Intel's latest CPUs, fast DDR5 memory, and PCIe 5.0 devices. It's also good at keeping things cool, which is important for running demanding language models."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"MSI MEG Z790 Ace:"})," Similar to the ASUS ROG Maximus, this motherboard is high-end and has similar features. It's good for running language models too."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Gigabyte Z790 Aorus Master:"})," This one is more budget-friendly but still works great with Intel's latest CPUs, DDR5 memory, and fast PCIe 5.0 devices. It's got a strong power system, which helps with running language models."]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["If you're on a tighter budget, you might want to check out mid-range options like the ",(0,s.jsx)(n.strong,{children:"ASUS TUF Gaming Z790-Plus WiFi"})," or the ",(0,s.jsx)(n.strong,{children:"MSI MPG Z790 Edge WiFi DDR5"}),". They offer good performance without breaking the bank."]}),"\n",(0,s.jsx)(n.p,{children:"No matter which motherboard you pick, make sure it works with your CPU and GPU. Also, check that it has the features you need, like enough slots for your GPU and storage drives."}),"\n",(0,s.jsx)(n.p,{children:"Other things to think about when choosing a motherboard for language models:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Cooling:"})," Language models can make your CPU work hard, so a motherboard with good cooling is a must. This keeps your CPU from getting too hot."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Memory:"})," Language models need lots of memory, so make sure your motherboard supports a good amount of it. Check if it works with the type of memory you want to use, like DDR5 or DDR4."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Storage:"})," Language models can create and store a ton of data. So, look for a motherboard with enough slots for your storage drives."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"BIOS:"})," The BIOS controls your motherboard. Make sure it's up-to-date and has the latest features, especially if you plan to overclock or undervolt your system."]}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"cooling-system-selection",children:"Cooling System Selection"}),"\n",(0,s.jsx)(n.p,{children:"Modern computers have two critical components, the CPU and GPU, which can heat up during high-performance tasks. To prevent overheating, they come with built-in temperature controls that automatically reduce performance when temperatures rise. To keep them cool and maintain optimal performance, you need a reliable cooling system."}),"\n",(0,s.jsx)(n.p,{children:"For laptops, the only choice is a fan-based cooling system. Laptops have built-in fans and copper pipes to dissipate heat. Many gaming laptops even have two separate fans: one for the CPU and another for the GPU."}),"\n",(0,s.jsx)(n.p,{children:"For desktop computers, you have the option to install more efficient water cooling systems. These are highly effective but can be expensive. Or you can install more cooling fans to keep you components cool."}),"\n",(0,s.jsx)(n.p,{children:"Keep in mind that dust can accumulate in fan-based cooling systems, leading to malfunctions. So periodically clean the dust to keep your cooling system running smoothly."}),"\n",(0,s.jsx)(n.h2,{id:"use-macbook-to-run-llms",children:"Use MacBook to run LLMs"}),"\n",(0,s.jsx)(n.p,{children:"An Apple MacBook equipped with either the M1 or the newer M2 Pro/Max processor. These cutting-edge chips leverage Apple's innovative Unified Memory Architecture (UMA), which revolutionizes the way the CPU and GPU interact with memory resources. This advancement plays a pivotal role in enhancing the performance and capabilities of LLMs."}),"\n",(0,s.jsxs)(n.p,{children:["Unified Memory Architecture, as implemented in Apple's M1 and M2 series processors, facilitates seamless and efficient data access for both the CPU and GPU. Unlike traditional systems where data needs to be shuttled between various memory pools, UMA offers a unified and expansive memory pool that can be accessed by both processing units without unnecessary data transfers. This transformative approach significantly minimizes latency while concurrently boosting data access bandwidth, resulting in substantial improvements in both the speed and quality of outputs.\n",(0,s.jsx)(n.img,{src:"https://media.discordapp.net/attachments/1148534242104574012/1156600109967089714/IMG_3722.webp?ex=6516380a&is=6514e68a&hm=ebe3b6ecb1edb44cde58bd8d3fdd46cef66b60aa41ea6c03b51325fa65f8517e&=&width=807&height=426",alt:"UMA"})]}),"\n",(0,s.jsx)(n.p,{children:"The M1 and M2 Pro/Max chips offer varying levels of unified memory bandwidth, further underscoring their prowess in handling data-intensive tasks like AI processing. The M1/M2 Pro chip boasts an impressive capacity of up to 200 GB/s of unified memory bandwidth, while the M1/M2 Max takes it a step further, supporting up to a staggering 400 GB/s of unified memory bandwidth. This means that regardless of the complexity and demands of the AI tasks at hand, these Apple laptops armed with M1 or M2 processors are well-equipped to handle them with unparalleled efficiency and speed."}),"\n",(0,s.jsx)(n.h2,{id:"calculating-vram-requirements-for-an-llm",children:"Calculating vRAM Requirements for an LLM"}),"\n",(0,s.jsxs)(n.p,{children:[(0,s.jsx)(n.strong,{children:"For example:"})," Calculating the VRAM required to run a 13-billion-parameter Large Language Model (LLM) involves considering the model size, batch size, sequence length, token size, and any additional overhead. Here's how you can estimate the VRAM required for a 13B LLM:"]}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Model Size"}),": Find out the size of the 13B LLM in terms of the number of parameters. This information is typically provided in the model's documentation. A 13-billion-parameter model has 13,000,000,000 parameters."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Batch Size"}),": Decide on the batch size you want to use during inference. The batch size represents how many input samples you process simultaneously. Smaller batch sizes require less VRAM."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Sequence Length"}),": Determine the average length of the input text sequences you'll be working with. Sequence length can impact VRAM requirements; longer sequences need more memory."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Token Size"}),": Understand the memory required to store one token in bytes. Most LLMs use 4 bytes per token."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Overhead"}),": Consider any additional memory overhead for intermediate computations and framework requirements. Overhead can vary but should be estimated based on your specific setup."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"Use the following formula to estimate the VRAM required:"}),"\n",(0,s.jsxs)(n.p,{children:[(0,s.jsx)(n.strong,{children:"VRAM Required (in gigabytes)"})," = ",(0,s.jsx)(n.code,{children:"Model Parameters x Token Size x Batch Size x Sequence Length + Overhead"})]}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Model Parameters"}),": 13,000,000,000 parameters for a 13B LLM."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Token Size"}),": Usually 4 bytes per token."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Batch Size"}),": Choose your batch size."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Sequence Length"}),": The average length of input sequences."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Overhead"}),": Any additional VRAM required based on your setup."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"Here's an example:"}),"\n",(0,s.jsx)(n.p,{children:"Suppose you want to run a 13B LLM with the following parameters:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Batch Size"}),": 4"]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Sequence Length"}),": 512 tokens"]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Token Size"}),": 4 bytes"]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Estimated Overhead"}),": 2 GB"]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["VRAM Required (in gigabytes) = ",(0,s.jsx)(n.code,{children:"(13,000,000,000 x 4 x 4 x 512) + 2"})]}),"\n",(0,s.jsxs)(n.p,{children:["VRAM Required (in gigabytes) = ",(0,s.jsx)(n.code,{children:"(8,388,608,000) + 2,000"})]}),"\n",(0,s.jsxs)(n.p,{children:["VRAM Required (in gigabytes) \u2248 ",(0,s.jsx)(n.code,{children:"8,390,608,000 bytes"})]}),"\n",(0,s.jsxs)(n.p,{children:["To convert this to gigabytes, divide by ",(0,s.jsx)(n.code,{children:"1,073,741,824 (1 GB)"})]}),"\n",(0,s.jsxs)(n.p,{children:["VRAM Required (in gigabytes) \u2248 ",(0,s.jsx)(n.code,{children:"8,390,608,000 / 1,073,741,824 \u2248 7.8 GB"})]}),"\n",(0,s.jsx)(n.p,{children:"So, to run a 13-billion-parameter LLM with the specified parameters and overhead, you would need approximately 7.8 gigabytes of VRAM on your GPU. Make sure to have some additional VRAM for stable operation and consider testing the setup in practice to monitor VRAM usage accurately."})]})}function h(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(c,{...e})}):c(e)}},28453:(e,n,t)=>{t.d(n,{R:()=>o,x:()=>a});var s=t(96540);const i={},r=s.createContext(i);function o(e){const n=s.useContext(r);return s.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function a(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(i):e.components||i:o(e.components),s.createElement(r.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/30c31013.852c46fd.js b/assets/js/30c31013.852c46fd.js new file mode 100644 index 00000000..d0a233d7 --- /dev/null +++ b/assets/js/30c31013.852c46fd.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[6511],{15264:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>r,contentTitle:()=>l,default:()=>h,frontMatter:()=>s,metadata:()=>d,toc:()=>a});var t=i(74848),o=i(28453);const s={title:"LM Studio",slug:"/guides/engines/lmstudio",sidebar_position:8,description:"A step-by-step guide on how to integrate Jan with LM Studio.",keywords:["Jan","Customizable Intelligence","LLM","local AI","privacy focus","free and open source","private and offline","conversational AI","no-subscription fee","large language models","LM Studio integration"]},l=void 0,d={id:"guides/local-providers/lmstudio",title:"LM Studio",description:"A step-by-step guide on how to integrate Jan with LM Studio.",source:"@site/docs/guides/local-providers/lmstudio.mdx",sourceDirName:"guides/local-providers",slug:"/guides/engines/lmstudio",permalink:"/guides/engines/lmstudio",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/guides/local-providers/lmstudio.mdx",tags:[],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1712027706,formattedLastUpdatedAt:"Apr 2, 2024",sidebarPosition:8,frontMatter:{title:"LM Studio",slug:"/guides/engines/lmstudio",sidebar_position:8,description:"A step-by-step guide on how to integrate Jan with LM Studio.",keywords:["Jan","Customizable Intelligence","LLM","local AI","privacy focus","free and open source","private and offline","conversational AI","no-subscription fee","large language models","LM Studio integration"]},sidebar:"guidesSidebar",previous:{title:"TensorRT-LLM Extension",permalink:"/guides/engines/tensorrt-llm"},next:{title:"Ollama",permalink:"/guides/engines/ollama"}},r={},a=[{value:"Integrate LM Studio with Jan",id:"integrate-lm-studio-with-jan",level:2},{value:"Step 1: Server Setup",id:"step-1-server-setup",level:3},{value:"Step 2: Model Configuration",id:"step-2-model-configuration",level:3},{value:"Step 3: Starting the Model",id:"step-3-starting-the-model",level:3},{value:"Migrating Models from LM Studio to Jan (version 0.4.6 and older)",id:"migrating-models-from-lm-studio-to-jan-version-046-and-older",level:2},{value:"Step 1: Model Migration",id:"step-1-model-migration",level:3},{value:"Step 2: Activating the Model",id:"step-2-activating-the-model",level:3},{value:"Direct Access to LM Studio Models from Jan (version 0.4.7+)",id:"direct-access-to-lm-studio-models-from-jan-version-047",level:2},{value:"Step 1: Locating the Model Path",id:"step-1-locating-the-model-path",level:3},{value:"Step 2: Model Configuration",id:"step-2-model-configuration-1",level:3},{value:"Step 3: Starting the Model",id:"step-3-starting-the-model-1",level:3}];function c(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",h3:"h3",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,o.R)(),...e.components};return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsx)(n.h2,{id:"integrate-lm-studio-with-jan",children:"Integrate LM Studio with Jan"}),"\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.a,{href:"https://lmstudio.ai/",children:"LM Studio"})," enables you to explore, download, and run local Large Language Models (LLMs). 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/dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[1641],{8552:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>d,contentTitle:()=>s,default:()=>p,frontMatter:()=>l,metadata:()=>a,toc:()=>o});var r=i(74848),t=i(28453);const l={title:"Engine"},s=void 0,a={id:"developer/framework/engineering/engine",title:"Engine",description:"Currently Under Development",source:"@site/docs/developer/05-framework/03-engineering/engine.md",sourceDirName:"developer/05-framework/03-engineering",slug:"/developer/framework/engineering/engine",permalink:"/developer/framework/engineering/engine",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/developer/05-framework/03-engineering/engine.md",tags:[],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1711818688,formattedLastUpdatedAt:"Mar 30, 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VRAM is used to store the textures, images, and other data that the GPU needs to render graphics. Its allows the GPU to access the data it needs quickly and efficiently. This is essential for rendering complex graphics at high frame rates."}),"\n",(0,n.jsx)(s.p,{children:"VRAM is different from other types of memory, such as the system RAM that is used by the CPU. VRAM is optimized for high bandwidth and low latency, which means that it can read and write data very quickly. The amount of VRAM that a GPU has is one of the factors that determines its performance. More VRAM allows the GPU to store more data and render more complex graphics. However, VRAM is also one of the most expensive components of a GPU. So when choosing a graphics card, it is important to consider the amount of VRAM that it has. If you are planning on running demanding LLMs or video games, or 3D graphics software, you will need a graphics card with more VRAM."}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.img,{alt:"VRAM",src:t(41560).A+"",width:"1500",height:"900"})}),"\n",(0,n.jsx)(s.h2,{id:"what-makes-vram-and-ram-different-from-each-other",children:"What makes VRAM and RAM different from each other?"}),"\n",(0,n.jsx)(s.p,{children:"RAM (Random Access Memory) and VRAM (Video Random Access Memory) are both types of memory used in computers, but they have different functions and characteristics. Here are the differences between RAM and VRAM."}),"\n",(0,n.jsx)(s.h3,{id:"ram-random-access-memory",children:"RAM (Random Access Memory):"}),"\n",(0,n.jsxs)(s.ul,{children:["\n",(0,n.jsx)(s.li,{children:"RAM is a general-purpose memory that stores data and instructions that the CPU needs to access quickly."}),"\n",(0,n.jsx)(s.li,{children:"RAM is used for short-term data storage and is volatile, meaning that it loses its contents when the computer is turned off."}),"\n",(0,n.jsx)(s.li,{children:"RAM is connected to the motherboard and is accessed by the CPU."}),"\n",(0,n.jsx)(s.li,{children:"RAM typically has a larger capacity compared to VRAM, which is designed to store smaller amounts of data with faster access times."}),"\n",(0,n.jsx)(s.li,{children:"RAM stores data related to the operating system and the various programs that are running, including code, program files, and user data."}),"\n"]}),"\n",(0,n.jsx)(s.h3,{id:"vram-video-random-access-memory",children:"VRAM (Video Random Access Memory):"}),"\n",(0,n.jsxs)(s.ul,{children:["\n",(0,n.jsx)(s.li,{children:"VRAM is a type of RAM that is specifically used to store image data for a computer display."}),"\n",(0,n.jsx)(s.li,{children:"VRAM is a graphics card component that is connected to the GPU (Graphics Processing Unit)."}),"\n",(0,n.jsx)(s.li,{children:"VRAM is used exclusively by the GPU and doesn\u2019t need to store as much data as the CPU."}),"\n",(0,n.jsx)(s.li,{children:"VRAM is similar to RAM in that it is volatile and loses its contents when the computer is turned off."}),"\n",(0,n.jsx)(s.li,{children:"VRAM stores data related specifically to graphics, such as textures, frames, and other graphical data."}),"\n",(0,n.jsx)(s.li,{children:"VRAM is designed to store smaller amounts of data with faster access times than RAM."}),"\n"]}),"\n",(0,n.jsx)(s.p,{children:"In summary, RAM is used for general-purpose memory, while VRAM is used for graphics-related tasks. RAM has a larger capacity and is accessed by the CPU, while VRAM has a smaller capacity and is accessed by the GPU."}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.strong,{children:"Key differences between VRAM and RAM:"})}),"\n",(0,n.jsxs)(s.table,{children:[(0,n.jsx)(s.thead,{children:(0,n.jsxs)(s.tr,{children:[(0,n.jsx)(s.th,{children:"Characteristic"}),(0,n.jsx)(s.th,{children:"VRAM"}),(0,n.jsx)(s.th,{children:"RAM"})]})}),(0,n.jsxs)(s.tbody,{children:[(0,n.jsxs)(s.tr,{children:[(0,n.jsx)(s.td,{children:"Purpose"}),(0,n.jsx)(s.td,{children:"Graphics processing"}),(0,n.jsx)(s.td,{children:"General processing"})]}),(0,n.jsxs)(s.tr,{children:[(0,n.jsx)(s.td,{children:"Speed"}),(0,n.jsx)(s.td,{children:"Faster"}),(0,n.jsx)(s.td,{children:"Slower"})]}),(0,n.jsxs)(s.tr,{children:[(0,n.jsx)(s.td,{children:"Latency"}),(0,n.jsx)(s.td,{children:"Lower"}),(0,n.jsx)(s.td,{children:"Higher"})]}),(0,n.jsxs)(s.tr,{children:[(0,n.jsx)(s.td,{children:"Bandwidth"}),(0,n.jsx)(s.td,{children:"Higher"}),(0,n.jsx)(s.td,{children:"Lower"})]}),(0,n.jsxs)(s.tr,{children:[(0,n.jsx)(s.td,{children:"Cost"}),(0,n.jsx)(s.td,{children:"More expensive"}),(0,n.jsx)(s.td,{children:"Less expensive"})]}),(0,n.jsxs)(s.tr,{children:[(0,n.jsx)(s.td,{children:"Availability"}),(0,n.jsx)(s.td,{children:"Less widely available"}),(0,n.jsx)(s.td,{children:"More widely available"})]})]})]}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.img,{alt:"RAM-VRAM",src:t(36165).A+"",width:"824",height:"207"})}),"\n",(0,n.jsx)(s.h2,{id:"how-to-connect-gpu-to-the-motherboard-via-pcie",children:"How to Connect GPU to the Motherboard via PCIe"}),"\n",(0,n.jsx)(s.p,{children:"Connecting hardware components to a motherboard is often likened to assembling LEGO pieces. If the parts fit together seamlessly, you're on the right track. Experienced PC builders find this process straightforward. However, for first-time builders, identifying where each hardware component belongs on the motherboard can be a bit perplexing."}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.strong,{children:"So follow the below 5 steps to Connect your GPU to the Motherboard:"})}),"\n",(0,n.jsxs)(s.ol,{children:["\n",(0,n.jsx)(s.li,{children:"First, make sure your computer is powered off and unplugged from the electrical outlet to ensure safety."}),"\n",(0,n.jsx)(s.li,{children:"Open your computer case if necessary to access the motherboard. Locate the PCIe x16 on the motherboard where you'll install the GPU. These slots are typically longer than other expansion slots and are used for graphics cards.\nRemove Slot Covers (if applicable): Some PCIe slots may have protective covers or brackets covering them. Remove these covers by unscrewing them from the case using a Phillips-head screwdriver. And PCIe x16 will have plastic lock on one side only. There may be more than one PCIe x16 slot depending on the motherboard. You can use any of the slots according to your choice."}),"\n"]}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.img,{alt:"PCIe x16",src:t(65306).A+"",width:"1600",height:"870"})}),"\n",(0,n.jsxs)(s.ol,{start:"3",children:["\n",(0,n.jsx)(s.li,{children:"Now Insert the Graphics Card slowly:"}),"\n"]}),"\n",(0,n.jsxs)(s.ul,{children:["\n",(0,n.jsx)(s.li,{children:"Unlock the plastic lock on one side of the PCIe x16 slot by pulling it outwards."}),"\n"]}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.img,{alt:"slot",src:t(3602).A+"",width:"784",height:"461"})}),"\n",(0,n.jsxs)(s.ul,{children:["\n",(0,n.jsx)(s.li,{children:"Align the PCIe slot with your graphics card, making sure that the HDMI port side of the GPU faces the rear side of the CPU case."}),"\n",(0,n.jsx)(s.li,{children:"Gently press on the card until you hear it securely snap in place."}),"\n"]}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.img,{alt:"GPU",src:t(65958).A+"",width:"743",height:"348"})}),"\n",(0,n.jsxs)(s.ol,{start:"4",children:["\n",(0,n.jsx)(s.li,{children:"Insert the Power Connector: If your GPU requires additional power (most modern GPUs do), connect the necessary power cables from your power supply to the GPU's power connectors. These connectors are usually located on the top or side of the GPU."}),"\n"]}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.img,{alt:"Power",src:t(7011).A+"",width:"742",height:"415"})}),"\n",(0,n.jsxs)(s.ol,{start:"5",children:["\n",(0,n.jsx)(s.li,{children:"Power on the System: After turning on the PC see if the fans on your graphics card spin. If it does not spin, remove the power cable from the GPU, reconnect it, and power on the PC again."}),"\n"]}),"\n",(0,n.jsxs)(s.blockquote,{children:["\n",(0,n.jsxs)(s.p,{children:["\ud83d\udcdd"," Note: To better understand you can also watch YouTube tutorials on how to Connect the GPU to the Motherboard via PCIe"]}),"\n"]}),"\n",(0,n.jsx)(s.h2,{id:"how-to-choose-a-graphics-card-for-your-ai-works",children:"How to Choose a Graphics Card for your AI works"}),"\n",(0,n.jsx)(s.p,{children:"Selecting the optimal GPU for running Large Language Models (LLMs) on your home PC is a decision influenced by your budget and the specific LLMs you intend to work with. Your choice should strike a balance between performance, efficiency, and cost-effectiveness."}),"\n",(0,n.jsx)(s.p,{children:"In general, the following GPU features are important for running LLMs:"}),"\n",(0,n.jsxs)(s.ul,{children:["\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"High VRAM:"}),"\xa0LLMs are typically very large and complex models, so they require a GPU with a high amount of VRAM. This will allow the model to be loaded into memory and processed efficiently."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"CUDA Compatibility:"}),"\xa0When running LLMs on a GPU, CUDA compatibility is paramount. CUDA is NVIDIA's parallel computing platform, and it plays a vital role in accelerating deep learning tasks. LLMs, with their extensive matrix calculations, heavily rely on parallel processing. Ensuring your GPU supports CUDA is like having the right tool for the job. It allows the LLM to leverage the GPU's parallel processing capabilities, significantly speeding up model training and inference."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"Number of CUDA, Tensor, and RT Cores:"}),"\xa0High-performance NVIDIA GPUs have both CUDA and Tensor cores. These cores are responsible for executing the neural network computations that underpin LLMs' language understanding and generation. The more CUDA cores your GPU has, the better equipped it is to handle the massive computational load that LLMs impose. Tensor cores in your GPU, further enhance LLM performance by accelerating the critical matrix operations integral to language modeling tasks."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"Generation (Series)"}),": When selecting a GPU for LLMs, consider its generation or series (e.g., RTX 30 series). Newer GPU generations often come with improved architectures and features. For LLM tasks, opting for the latest generation can mean better performance, energy efficiency, and support for emerging AI technologies. Avoid purchasing, RTX-2000 series GPUs which are much outdated nowadays."]}),"\n"]}),"\n",(0,n.jsx)(s.h3,{id:"here-are-some-of-the-best-gpu-options-for-this-purpose",children:"Here are some of the best GPU options for this purpose:"}),"\n",(0,n.jsxs)(s.ol,{children:["\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"NVIDIA RTX 3090"}),": The NVIDIA RTX 3090 is a high-end GPU with a substantial 24GB of VRAM. This copious VRAM capacity makes it exceptionally well-suited for handling large LLMs. Moreover, it's known for its relative efficiency, meaning it won't overheat or strain your home PC's cooling system excessively. The RTX 3090's robust capabilities are a boon for those who need to work with hefty language models."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"NVIDIA RTX 4090"}),": If you're looking for peak performance and can afford the investment, the NVIDIA RTX 4090 represents the pinnacle of GPU power. Boasting 24GB of VRAM and featuring a cutting-edge Tensor Core architecture tailored for AI workloads, it outshines the RTX 3090 in terms of sheer capability. However, it's important to note that the RTX 4090 is also pricier and more power-hungry than its predecessor, the RTX 3090."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"AMD Radeon RX 6900 XT"}),": On the AMD side, the Radeon RX 6900 XT stands out as a high-end GPU with 16GB of VRAM. While it may not quite match the raw power of the RTX 3090 or RTX 4090, it strikes a balance between performance and affordability. Additionally, it tends to be more power-efficient, which could translate to a more sustainable and quieter setup in your home PC."]}),"\n"]}),"\n",(0,n.jsx)(s.p,{children:"If budget constraints are a consideration, there are more cost-effective GPU options available:"}),"\n",(0,n.jsxs)(s.ul,{children:["\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"NVIDIA RTX 3070"}),": The RTX 3070 is a solid mid-range GPU that can handle LLMs effectively. While it may not excel with the most massive or complex language models, it's a reliable choice for users looking for a balance between price and performance."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"AMD Radeon RX 6800 XT"}),": Similarly, the RX 6800 XT from AMD offers commendable performance without breaking the bank. It's well-suited for running mid-sized LLMs and provides a competitive option in terms of both power and cost."]}),"\n"]}),"\n",(0,n.jsx)(s.p,{children:"When selecting a GPU for LLMs, remember that it's not just about the GPU itself. Consider the synergy with other components in your PC:"}),"\n",(0,n.jsxs)(s.ul,{children:["\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"CPU"}),": To ensure efficient processing, pair your GPU with a powerful CPU. LLMs benefit from fast processors, so having a capable CPU is essential."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"RAM"}),": Sufficient RAM is crucial for LLMs. They can be memory-intensive, and having enough RAM ensures smooth operation."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"Cooling System"}),": LLMs can push your PC's hardware to the limit. A robust cooling system helps maintain optimal temperatures, preventing overheating and performance throttling."]}),"\n"]}),"\n",(0,n.jsx)(s.p,{children:"By taking all of these factors into account, you can build a home PC setup that's well-equipped to handle the demands of running LLMs effectively and efficiently."})]})}function l(e={}){const{wrapper:s}={...(0,r.R)(),...e.components};return s?(0,n.jsx)(s,{...e,children:(0,n.jsx)(d,{...e})}):d(e)}},65958:(e,s,t)=>{t.d(s,{A:()=>n});const n=t.p+"assets/images/GPU-5c5cbdea44506dcd4af8cf75b9aac52b.png"},72156:(e,s,t)=>{t.d(s,{A:()=>n});const n=t.p+"assets/images/GPU_Image-231c0b8e4b585ac1d18c2330840bb1d6.png"},65306:(e,s,t)=>{t.d(s,{A:()=>n});const n=t.p+"assets/images/PCIex16-83af51562c34bc672cda33199e42464d.png"},7011:(e,s,t)=>{t.d(s,{A:()=>n});const n=t.p+"assets/images/Power-76f62f2aba4379d9f7368014d52484f8.png"},36165:(e,s,t)=>{t.d(s,{A:()=>n});const n=t.p+"assets/images/RAM-VRAM-8ecee89416490242a132a14073e166fc.png"},41560:(e,s,t)=>{t.d(s,{A:()=>n});const n=t.p+"assets/images/VRAM-Image-a29fe70e7f4d5782f1ef912a49fd0636.png"},3602:(e,s,t)=>{t.d(s,{A:()=>n});const n=t.p+"assets/images/slot-e0b9ed4b774e0ae2fd485650de82f089.png"},28453:(e,s,t)=>{t.d(s,{R:()=>o,x:()=>a});var n=t(96540);const r={},i=n.createContext(r);function o(e){const s=n.useContext(i);return n.useMemo((function(){return"function"==typeof e?e(s):{...s,...e}}),[s,e])}function a(e){let s;return s=e.disableParentContext?"function"==typeof e.components?e.components(r):e.components||r:o(e.components),n.createElement(i.Provider,{value:s},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/4a916acb.dcacf5f9.js b/assets/js/4a916acb.dcacf5f9.js deleted file mode 100644 index 77032c80..00000000 --- a/assets/js/4a916acb.dcacf5f9.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[4368],{89734:(e,s,t)=>{t.r(s),t.d(s,{assets:()=>c,contentTitle:()=>o,default:()=>l,frontMatter:()=>i,metadata:()=>a,toc:()=>h});var n=t(74848),r=t(28453);const i={title:"GPUs and VRAM"},o=void 0,a={id:"hardware/concepts/gpu-and-vram",title:"GPUs and VRAM",description:"What Is a GPU?",source:"@site/docs/hardware/concepts/gpu-and-vram.md",sourceDirName:"hardware/concepts",slug:"/hardware/concepts/gpu-and-vram",permalink:"/hardware/concepts/gpu-and-vram",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/hardware/concepts/gpu-and-vram.md",tags:[],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1711818688,formattedLastUpdatedAt:"Mar 30, 2024",frontMatter:{title:"GPUs and VRAM"}},c={},h=[{value:"What Is a GPU?",id:"what-is-a-gpu",level:2},{value:"What Are GPUs Used For?",id:"what-are-gpus-used-for",level:2},{value:"Here are some example use cases:",id:"here-are-some-example-use-cases",level:3},{value:"What is VRAM In GPU?",id:"what-is-vram-in-gpu",level:2},{value:"What makes VRAM and RAM different from each other?",id:"what-makes-vram-and-ram-different-from-each-other",level:2},{value:"RAM (Random Access Memory):",id:"ram-random-access-memory",level:3},{value:"VRAM (Video Random Access Memory):",id:"vram-video-random-access-memory",level:3},{value:"How to Connect GPU to the Motherboard via PCIe",id:"how-to-connect-gpu-to-the-motherboard-via-pcie",level:2},{value:"How to Choose a Graphics Card for your AI works",id:"how-to-choose-a-graphics-card-for-your-ai-works",level:2},{value:"Here are some of the best GPU options for this purpose:",id:"here-are-some-of-the-best-gpu-options-for-this-purpose",level:3}];function d(e){const s={a:"a",blockquote:"blockquote",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,r.R)(),...e.components};return(0,n.jsxs)(n.Fragment,{children:[(0,n.jsx)(s.h2,{id:"what-is-a-gpu",children:"What Is a GPU?"}),"\n",(0,n.jsxs)(s.p,{children:["A Graphics Card, or GPU (Graphics Processing Unit), is a fundamental component in modern computing. Think of it as the powerhouse behind rendering the stunning visuals you see on your screen. Similar to the motherboard in your computer, the graphics card is a printed circuit board. However, it's not just a passive piece of hardware; it's a sophisticated device equipped with essential components like fans, onboard RAM, a dedicated memory controller, BIOS, and various other features. If you want to learn more about GPUs then read here to ",(0,n.jsx)(s.a,{href:"https://medium.com/codex/understanding-the-architecture-of-a-gpu-d5d2d2e8978b",children:"Understand the architecture of a GPU."})]}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.img,{alt:"GPU Image",src:t(72156).A+"",width:"1200",height:"674"})}),"\n",(0,n.jsx)(s.h2,{id:"what-are-gpus-used-for",children:"What Are GPUs Used For?"}),"\n",(0,n.jsx)(s.p,{children:"Two decades ago, GPUs primarily enhanced real-time 3D graphics in gaming. But as the 21st century dawned, a revelation occurred among computer scientists. They recognized that GPUs held untapped potential to solve some of the world's most intricate computing tasks.\nThis revelation marked the dawn of the general-purpose GPU era. Today's GPUs have evolved into versatile tools, more adaptable than ever before. They now have the capability to accelerate a diverse range of applications that stretch well beyond their original graphics-focused purpose."}),"\n",(0,n.jsx)(s.h3,{id:"here-are-some-example-use-cases",children:(0,n.jsx)(s.strong,{children:"Here are some example use cases:"})}),"\n",(0,n.jsxs)(s.ol,{children:["\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"Gaming"}),": They make games look good and run smoothly."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"Content Creation"}),": Help with video editing, 3D design, and graphics work."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"AI and Machine Learning"}),": Used for training smart machines."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"Science"}),": Speed up scientific calculations and simulations."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"Cryptocurrency Mining"}),": Mine digital currencies like Bitcoin."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"Medical Imaging"}),": Aid in analyzing medical images."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"Self-Driving Cars"}),": Help cars navigate autonomously."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"Simulations"}),": Create realistic virtual experiences."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"Data Analysis"}),": Speed up data processing and visualization."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"Video Streaming"}),": Improve video quality and streaming efficiency."]}),"\n"]}),"\n",(0,n.jsx)(s.h2,{id:"what-is-vram-in-gpu",children:"What is VRAM In GPU?"}),"\n",(0,n.jsx)(s.p,{children:"VRAM, or video random-access memory, is a type of high-speed memory that is specifically designed for use with graphics processing units (GPUs). VRAM is used to store the textures, images, and other data that the GPU needs to render graphics. Its allows the GPU to access the data it needs quickly and efficiently. This is essential for rendering complex graphics at high frame rates."}),"\n",(0,n.jsx)(s.p,{children:"VRAM is different from other types of memory, such as the system RAM that is used by the CPU. VRAM is optimized for high bandwidth and low latency, which means that it can read and write data very quickly. The amount of VRAM that a GPU has is one of the factors that determines its performance. More VRAM allows the GPU to store more data and render more complex graphics. However, VRAM is also one of the most expensive components of a GPU. So when choosing a graphics card, it is important to consider the amount of VRAM that it has. If you are planning on running demanding LLMs or video games, or 3D graphics software, you will need a graphics card with more VRAM."}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.img,{alt:"VRAM",src:t(41560).A+"",width:"1500",height:"900"})}),"\n",(0,n.jsx)(s.h2,{id:"what-makes-vram-and-ram-different-from-each-other",children:"What makes VRAM and RAM different from each other?"}),"\n",(0,n.jsx)(s.p,{children:"RAM (Random Access Memory) and VRAM (Video Random Access Memory) are both types of memory used in computers, but they have different functions and characteristics. Here are the differences between RAM and VRAM."}),"\n",(0,n.jsx)(s.h3,{id:"ram-random-access-memory",children:"RAM (Random Access Memory):"}),"\n",(0,n.jsxs)(s.ul,{children:["\n",(0,n.jsx)(s.li,{children:"RAM is a general-purpose memory that stores data and instructions that the CPU needs to access quickly."}),"\n",(0,n.jsx)(s.li,{children:"RAM is used for short-term data storage and is volatile, meaning that it loses its contents when the computer is turned off."}),"\n",(0,n.jsx)(s.li,{children:"RAM is connected to the motherboard and is accessed by the CPU."}),"\n",(0,n.jsx)(s.li,{children:"RAM typically has a larger capacity compared to VRAM, which is designed to store smaller amounts of data with faster access times."}),"\n",(0,n.jsx)(s.li,{children:"RAM stores data related to the operating system and the various programs that are running, including code, program files, and user data."}),"\n"]}),"\n",(0,n.jsx)(s.h3,{id:"vram-video-random-access-memory",children:"VRAM (Video Random Access Memory):"}),"\n",(0,n.jsxs)(s.ul,{children:["\n",(0,n.jsx)(s.li,{children:"VRAM is a type of RAM that is specifically used to store image data for a computer display."}),"\n",(0,n.jsx)(s.li,{children:"VRAM is a graphics card component that is connected to the GPU (Graphics Processing Unit)."}),"\n",(0,n.jsx)(s.li,{children:"VRAM is used exclusively by the GPU and doesn\u2019t need to store as much data as the CPU."}),"\n",(0,n.jsx)(s.li,{children:"VRAM is similar to RAM in that it is volatile and loses its contents when the computer is turned off."}),"\n",(0,n.jsx)(s.li,{children:"VRAM stores data related specifically to graphics, such as textures, frames, and other graphical data."}),"\n",(0,n.jsx)(s.li,{children:"VRAM is designed to store smaller amounts of data with faster access times than RAM."}),"\n"]}),"\n",(0,n.jsx)(s.p,{children:"In summary, RAM is used for general-purpose memory, while VRAM is used for graphics-related tasks. RAM has a larger capacity and is accessed by the CPU, while VRAM has a smaller capacity and is accessed by the GPU."}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.strong,{children:"Key differences between VRAM and RAM:"})}),"\n",(0,n.jsxs)(s.table,{children:[(0,n.jsx)(s.thead,{children:(0,n.jsxs)(s.tr,{children:[(0,n.jsx)(s.th,{children:"Characteristic"}),(0,n.jsx)(s.th,{children:"VRAM"}),(0,n.jsx)(s.th,{children:"RAM"})]})}),(0,n.jsxs)(s.tbody,{children:[(0,n.jsxs)(s.tr,{children:[(0,n.jsx)(s.td,{children:"Purpose"}),(0,n.jsx)(s.td,{children:"Graphics processing"}),(0,n.jsx)(s.td,{children:"General processing"})]}),(0,n.jsxs)(s.tr,{children:[(0,n.jsx)(s.td,{children:"Speed"}),(0,n.jsx)(s.td,{children:"Faster"}),(0,n.jsx)(s.td,{children:"Slower"})]}),(0,n.jsxs)(s.tr,{children:[(0,n.jsx)(s.td,{children:"Latency"}),(0,n.jsx)(s.td,{children:"Lower"}),(0,n.jsx)(s.td,{children:"Higher"})]}),(0,n.jsxs)(s.tr,{children:[(0,n.jsx)(s.td,{children:"Bandwidth"}),(0,n.jsx)(s.td,{children:"Higher"}),(0,n.jsx)(s.td,{children:"Lower"})]}),(0,n.jsxs)(s.tr,{children:[(0,n.jsx)(s.td,{children:"Cost"}),(0,n.jsx)(s.td,{children:"More expensive"}),(0,n.jsx)(s.td,{children:"Less expensive"})]}),(0,n.jsxs)(s.tr,{children:[(0,n.jsx)(s.td,{children:"Availability"}),(0,n.jsx)(s.td,{children:"Less widely available"}),(0,n.jsx)(s.td,{children:"More widely available"})]})]})]}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.img,{alt:"RAM-VRAM",src:t(36165).A+"",width:"824",height:"207"})}),"\n",(0,n.jsx)(s.h2,{id:"how-to-connect-gpu-to-the-motherboard-via-pcie",children:"How to Connect GPU to the Motherboard via PCIe"}),"\n",(0,n.jsx)(s.p,{children:"Connecting hardware components to a motherboard is often likened to assembling LEGO pieces. If the parts fit together seamlessly, you're on the right track. Experienced PC builders find this process straightforward. However, for first-time builders, identifying where each hardware component belongs on the motherboard can be a bit perplexing."}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.strong,{children:"So follow the below 5 steps to Connect your GPU to the Motherboard:"})}),"\n",(0,n.jsxs)(s.ol,{children:["\n",(0,n.jsx)(s.li,{children:"First, make sure your computer is powered off and unplugged from the electrical outlet to ensure safety."}),"\n",(0,n.jsx)(s.li,{children:"Open your computer case if necessary to access the motherboard. Locate the PCIe x16 on the motherboard where you'll install the GPU. These slots are typically longer than other expansion slots and are used for graphics cards.\nRemove Slot Covers (if applicable): Some PCIe slots may have protective covers or brackets covering them. Remove these covers by unscrewing them from the case using a Phillips-head screwdriver. And PCIe x16 will have plastic lock on one side only. There may be more than one PCIe x16 slot depending on the motherboard. You can use any of the slots according to your choice."}),"\n"]}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.img,{alt:"PCIe x16",src:t(65306).A+"",width:"1600",height:"870"})}),"\n",(0,n.jsxs)(s.ol,{start:"3",children:["\n",(0,n.jsx)(s.li,{children:"Now Insert the Graphics Card slowly:"}),"\n"]}),"\n",(0,n.jsxs)(s.ul,{children:["\n",(0,n.jsx)(s.li,{children:"Unlock the plastic lock on one side of the PCIe x16 slot by pulling it outwards."}),"\n"]}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.img,{alt:"slot",src:t(3602).A+"",width:"784",height:"461"})}),"\n",(0,n.jsxs)(s.ul,{children:["\n",(0,n.jsx)(s.li,{children:"Align the PCIe slot with your graphics card, making sure that the HDMI port side of the GPU faces the rear side of the CPU case."}),"\n",(0,n.jsx)(s.li,{children:"Gently press on the card until you hear it securely snap in place."}),"\n"]}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.img,{alt:"GPU",src:t(65958).A+"",width:"743",height:"348"})}),"\n",(0,n.jsxs)(s.ol,{start:"4",children:["\n",(0,n.jsx)(s.li,{children:"Insert the Power Connector: If your GPU requires additional power (most modern GPUs do), connect the necessary power cables from your power supply to the GPU's power connectors. These connectors are usually located on the top or side of the GPU."}),"\n"]}),"\n",(0,n.jsx)(s.p,{children:(0,n.jsx)(s.img,{alt:"Power",src:t(7011).A+"",width:"742",height:"415"})}),"\n",(0,n.jsxs)(s.ol,{start:"5",children:["\n",(0,n.jsx)(s.li,{children:"Power on the System: After turning on the PC see if the fans on your graphics card spin. If it does not spin, remove the power cable from the GPU, reconnect it, and power on the PC again."}),"\n"]}),"\n",(0,n.jsxs)(s.blockquote,{children:["\n",(0,n.jsxs)(s.p,{children:["\ud83d\udcdd"," Note: To better understand you can also watch YouTube tutorials on how to Connect the GPU to the Motherboard via PCIe"]}),"\n"]}),"\n",(0,n.jsx)(s.h2,{id:"how-to-choose-a-graphics-card-for-your-ai-works",children:"How to Choose a Graphics Card for your AI works"}),"\n",(0,n.jsx)(s.p,{children:"Selecting the optimal GPU for running Large Language Models (LLMs) on your home PC is a decision influenced by your budget and the specific LLMs you intend to work with. Your choice should strike a balance between performance, efficiency, and cost-effectiveness."}),"\n",(0,n.jsx)(s.p,{children:"In general, the following GPU features are important for running LLMs:"}),"\n",(0,n.jsxs)(s.ul,{children:["\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"High VRAM:"}),"\xa0LLMs are typically very large and complex models, so they require a GPU with a high amount of VRAM. This will allow the model to be loaded into memory and processed efficiently."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"CUDA Compatibility:"}),"\xa0When running LLMs on a GPU, CUDA compatibility is paramount. CUDA is NVIDIA's parallel computing platform, and it plays a vital role in accelerating deep learning tasks. LLMs, with their extensive matrix calculations, heavily rely on parallel processing. Ensuring your GPU supports CUDA is like having the right tool for the job. It allows the LLM to leverage the GPU's parallel processing capabilities, significantly speeding up model training and inference."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"Number of CUDA, Tensor, and RT Cores:"}),"\xa0High-performance NVIDIA GPUs have both CUDA and Tensor cores. These cores are responsible for executing the neural network computations that underpin LLMs' language understanding and generation. The more CUDA cores your GPU has, the better equipped it is to handle the massive computational load that LLMs impose. Tensor cores in your GPU, further enhance LLM performance by accelerating the critical matrix operations integral to language modeling tasks."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"Generation (Series)"}),": When selecting a GPU for LLMs, consider its generation or series (e.g., RTX 30 series). Newer GPU generations often come with improved architectures and features. For LLM tasks, opting for the latest generation can mean better performance, energy efficiency, and support for emerging AI technologies. Avoid purchasing, RTX-2000 series GPUs which are much outdated nowadays."]}),"\n"]}),"\n",(0,n.jsx)(s.h3,{id:"here-are-some-of-the-best-gpu-options-for-this-purpose",children:"Here are some of the best GPU options for this purpose:"}),"\n",(0,n.jsxs)(s.ol,{children:["\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"NVIDIA RTX 3090"}),": The NVIDIA RTX 3090 is a high-end GPU with a substantial 24GB of VRAM. This copious VRAM capacity makes it exceptionally well-suited for handling large LLMs. Moreover, it's known for its relative efficiency, meaning it won't overheat or strain your home PC's cooling system excessively. The RTX 3090's robust capabilities are a boon for those who need to work with hefty language models."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"NVIDIA RTX 4090"}),": If you're looking for peak performance and can afford the investment, the NVIDIA RTX 4090 represents the pinnacle of GPU power. Boasting 24GB of VRAM and featuring a cutting-edge Tensor Core architecture tailored for AI workloads, it outshines the RTX 3090 in terms of sheer capability. However, it's important to note that the RTX 4090 is also pricier and more power-hungry than its predecessor, the RTX 3090."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"AMD Radeon RX 6900 XT"}),": On the AMD side, the Radeon RX 6900 XT stands out as a high-end GPU with 16GB of VRAM. While it may not quite match the raw power of the RTX 3090 or RTX 4090, it strikes a balance between performance and affordability. Additionally, it tends to be more power-efficient, which could translate to a more sustainable and quieter setup in your home PC."]}),"\n"]}),"\n",(0,n.jsx)(s.p,{children:"If budget constraints are a consideration, there are more cost-effective GPU options available:"}),"\n",(0,n.jsxs)(s.ul,{children:["\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"NVIDIA RTX 3070"}),": The RTX 3070 is a solid mid-range GPU that can handle LLMs effectively. While it may not excel with the most massive or complex language models, it's a reliable choice for users looking for a balance between price and performance."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"AMD Radeon RX 6800 XT"}),": Similarly, the RX 6800 XT from AMD offers commendable performance without breaking the bank. It's well-suited for running mid-sized LLMs and provides a competitive option in terms of both power and cost."]}),"\n"]}),"\n",(0,n.jsx)(s.p,{children:"When selecting a GPU for LLMs, remember that it's not just about the GPU itself. Consider the synergy with other components in your PC:"}),"\n",(0,n.jsxs)(s.ul,{children:["\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"CPU"}),": To ensure efficient processing, pair your GPU with a powerful CPU. LLMs benefit from fast processors, so having a capable CPU is essential."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"RAM"}),": Sufficient RAM is crucial for LLMs. They can be memory-intensive, and having enough RAM ensures smooth operation."]}),"\n",(0,n.jsxs)(s.li,{children:[(0,n.jsx)(s.strong,{children:"Cooling System"}),": LLMs can push your PC's hardware to the limit. A robust cooling system helps maintain optimal temperatures, preventing overheating and performance throttling."]}),"\n"]}),"\n",(0,n.jsx)(s.p,{children:"By taking all of these factors into account, you can build a home PC setup that's well-equipped to handle the demands of running LLMs effectively and efficiently."})]})}function l(e={}){const{wrapper:s}={...(0,r.R)(),...e.components};return s?(0,n.jsx)(s,{...e,children:(0,n.jsx)(d,{...e})}):d(e)}},65958:(e,s,t)=>{t.d(s,{A:()=>n});const n=t.p+"assets/images/GPU-5c5cbdea44506dcd4af8cf75b9aac52b.png"},72156:(e,s,t)=>{t.d(s,{A:()=>n});const n=t.p+"assets/images/GPU_Image-231c0b8e4b585ac1d18c2330840bb1d6.png"},65306:(e,s,t)=>{t.d(s,{A:()=>n});const n=t.p+"assets/images/PCIex16-83af51562c34bc672cda33199e42464d.png"},7011:(e,s,t)=>{t.d(s,{A:()=>n});const n=t.p+"assets/images/Power-76f62f2aba4379d9f7368014d52484f8.png"},36165:(e,s,t)=>{t.d(s,{A:()=>n});const 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Choosing the right hardware for your AI needs is crucial to get the best performance and results. Here are some tips for selecting AI hardware based on your specific use case and requirements."}),"\n",(0,s.jsx)(n.h3,{id:"entry-level-experimentation",children:"Entry-level Experimentation:"}),"\n",(0,s.jsxs)(n.p,{children:[(0,s.jsx)(n.strong,{children:"Personal Use:"}),"\nWhen venturing into the world of AI as an individual, your choice of hardware can significantly impact your experience. Here's a more detailed breakdown:"]}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Macbook (16GB):"})," A Macbook equipped with 16GB of RAM and either the M1 or the newer M2 Pro/Max processor is an excellent starting point for AI enthusiasts. These cutting-edge chips leverage Apple's innovative Unified Memory Architecture (UMA), which revolutionizes the way the CPU and GPU interact with memory resources. This advancement plays a pivotal role in enhancing the performance and capabilities of LLMs."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Nvidia GeForce RTX 3090:"})," This powerful graphics card is a solid alternative for AI beginners, offering exceptional performance for basic experiments."]}),"\n"]}),"\n",(0,s.jsxs)(n.ol,{start:"2",children:["\n",(0,s.jsx)(n.li,{children:(0,s.jsx)(n.strong,{children:"Serious AI Work:"})}),"\n"]}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"2 x 3090 RTX Card (48GB RAM):"})," For those committed to more advanced AI projects, this configuration provides the necessary muscle. 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Love to see"]}),"\u2014 Chubby\u2668\ufe0f (@kimmonismus) ",(0,a.jsx)("a",{href:"https://twitter.com/kimmonismus/status/1742843063938994469?ref_src=twsrc%5Etfw",children:"January 4, 2024"})]}),(0,a.jsx)("script",{async:!0,src:"https://platform.twitter.com/widgets.js",charset:"utf-8",loading:"lazy"})]}),"\n",(0,a.jsxs)(t.p,{children:["Please share your love for Jan on Twitter and tag us ",(0,a.jsx)(t.a,{href:"https://twitter.com/janframework",children:"@janframework"}),"! 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",h="data:image/png;base64,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",o="data:image/png;base64,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",C="data:image/png;base64,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",c="data:image/png;base64,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",u="data:image/png;base64,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",F="data:image/png;base64,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",p="data:image/png;base64,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",B="data:image/png;base64,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",E="data:image/png;base64,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",Y="data:image/png;base64,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",v="data:image/png;base64,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",I="data:image/png;base64,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",V="data:image/png;base64,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",R="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMAAAACbCAYAAAFDkqSlAAAACXBIWXMAAC4jAAAuIwF4pT92AAAYkUlEQVR4nO2df4xc1XXH3653bS/peu0yiUTIeGAixiEost0gSpsgexv4KxG4+adEUAHSIKXNDwwSoW2kgCO1SktV06CSSkyLUYiS/lNj1EiRcDGobeQgUm/+QISJwNiERGqG2MaJ7V2v19V5+974zZ373v3ee899776Z95GsXc/OzPtx37n33HO/95yJixcvBihX/+H9P5j+6FcP09u7ndojyMfgA9Qbzf4bZ255OYgOMqH63CR8+hJa7d5GlgMkz544+/wN8a8nrA9QbzRfjH+Pbw1xcfl0+LPV7mXeY+QKdiS/fN2N3wl/njv0KeCjigOItyb8wOw1/d/jW5V1FVAbJJ6agf8jpB5APPvf3zItfZ/qKpRXEJ/tj14/L309Savduwo6QHz2a697OPPgE1OzA1cRBMFR5QHqjebJ+Pc1H/x05gHWz/9n//cLv/iP8Kd4q2RXMBdoNGT8vqVXvy79+8ABZI9lknfeXck8mKzBpW2QdvbzD/1a+nrW1fYPoDp7ekxjO8hCvIqwu643mlfFT4COEYnEX574jvn4CoYeLxsSj+2hqXqjOTAyJf7IwuTbx96Ehj5TtMbkVrsXngw6HgcmY7LOeByYDJnIGKB1gOgRltJq9/ZZHyB+hNffdCCY3PTx8IXEk3aX1QGSt2Zi/RXBuuu/1f/b0sKD4U+OQX/AuuPfL/zqJeSj+JBJ/dCPH7984D0sg37y7GdnJoZeU5E5ZMZDYhbag3690dwd/54cErOuLKbV7r0ovia7gr1pXyAy/eF7w1cSj+2OzAOoBh2Rqea9/VfOHfqj8Kd4q6ZkH0y5fOlB6L10BReXfyP9OzxkIkCDftq9JztIG5Oz2isek8MjrvnAjmDt1ketzj4QuvTJ5ATD9MsDcXJy9pfhz1a7tzDxoc1XW9/7rANaTQLTSExStmuNyQiRl9J3yyUPwKlup6acnaKwXkCaKZHBx71KDOozqGC7AKQfEFuD4yJYnlHpZDpyP5KITi/qWGVh3QKyk0/eaZmnztkSVhegOvkY5CIoltbt1N7SPQejR6jeaO4UT35q8+dShxzwoo4ibrSIdgvUG026S43ka+vnXwgmpn6n///kmJr0EigMEMcaYsiTFu1F55HSaoHorg+cPN3d5Mlnsfa6r4UXm2TxlT8LFg/fMfCajnHDF4A+7yroYsXPrZz+mXEPZRSONT151edNLgKZu7KffNb36F5E1sRvo3jyEzNXaJ383/zbb5XvQS+i1e5tk31e2gvVG8194sR93fX/HExu+j3oxE0499+39f3kGJoWCnPPl7qd2s7MC+B4ZNK6URUrJ/43WHzl8wPvUjmCymkl1/OOQC0sHm/5zScz7aLfAkWfvAjqQw1MKsuAeBGTWSG+MsA+pQwiZ2/dDf+ya3LuYycTL7/Y7dSGgke2uJgTD3yhi1lYEtaoQeSpDrByujvwf45ZWBLusEdDfGHx8J3MhxiE7QKyejIbd1mFk8CTCLnLIq12b5c3F4CMI5KBaT/Hsa0vIBmT16XV7mlP4kU4WmCv+AJ1neBEfsjodbG6gKSIIHnyMaIXGSQEBDG2Bm3bAnNZf0wugsSkCRRMMb4A1HuVvRav6MTYtIJpYGsoPE7TTRTZilGr3bs7twuQicPWf/JA6ptBg37K5ES0L6DeaD4mvkbz5SSyFS+khVrt3lCnoMKkBe4TX0hO9pMnnvxd1kKSVsjsFGSYhBYH0Jl2rt02vMp3/o0nB/6va9C5+EIxa94/tFYdTtptyD02yhVSjEFjo8PiQckSksjLgjBRh1a7B/lYaAsMqceSCpk0RGVlDNitDvlYMrS0vDGkIUI4eGQp/cCSFhRDi0i3CmuFk5BGKY3kY/Pa28up75O1IMVHBZTdqrYWWWW4aY+NDFlLxoKtGBbhlg46hitrSVQQFgMLwwKw29RpgbTv1OlW03RhO8XXZJOTNA4uLAW37dF2azKJxZ8iaQscuUeqTVf0ZcK5oYm2uDTqgjUf/MzQt66c+PHA/2XdquwRGppoo+vAQcKVpn9fuvUy+HO0hixCa8gCQ92q0xUanQsIUlr63H8Njg3IboI+iLhT5PTZS9//5//0ntZnZS198dwvh15L7kfycolJx6DDFhDV+AGwG8UlSMvH3Wr8CA2drU6UgZ3p4UdJ0irhOZPu8qTJXLQIqKcSuttTk2U5+UAe1ZvLdU7sgFOlWidOXej2nSiYNhSPkohBRIbEIb7hfQOonm4avAFfc97FGjsH3jZAFMBXbpCOAZyef+x2asarea7wsgHqjeYukzVYoBGOdTs1r6Q53jWATGyoAzAusKtlbPCqAaIlZ2u/UqYlF/GlEbxpAG5Xcmrz7cH0lgcy3+NDI3jRAOjNj/t4WiEXl/llUNQYWMTY1O3UeAOgGhQ+E0NuPvXpyQFWtnlCBsWSgDwHJ7hUYyYU1gD1RnMbcvMp+JC2KRuNtwGNsN9k4xQHhXRB4j7XNEiQIFvTF6GURHHeoyx8dFNzb4B6o7kQBMFW1fvEHXUqaAFBXAWRfu8nDyhjpXkOzrk2gO5gq8uFX3w/WHp1j/JT01vuD/d7ZpFXI+TWAK5vfgwNvOJKlAwSlonqOJE8GiGXBrC9+WlJMmhv4L7nz0r/hmR5AgN5RluzUZx6QbINmDJo1pp289MS3BF/9SfvS/0b5KYu/wZpqKOmKlwEZw1QbzTvRqKZJBrJkqtliaRUMLqpT7XavWeNTyQDJw1QbzSfRaTPlNlSpshP8t4Zuy4y3OIPrBCvZi3KdGVvM1FCq2BvgCigphwF6cYkM3+6hFxPRJ5F8wmFKzvn9ba9qL9XRjO5FCM6akKyNJXXE0TzCZUr6+WuvbzczCSPP3dG6/3keiJSOZpPqFxZrkbIbdehbvqJJD9NGYh15agBcyAvSm1hFbqw3bM3lFFIRhhQy9jPpOL5DL27KYwe0tE0+S2CzZY9Ough1fsooCYTf+pgs+Uji9UkSHh+zQwelqXFRDDdcriARDOpv0WimSpkXU1at6QLhbopm6SK0E09O6xVTbDDxE01yQWW+2BLHPrb3w2uvPzS86KTHAcBDeTJkuqI6MSQtBqgqJufF0UE8oxqY6R+2dRsZkrhssAYyFOuNysbIJkJPwsKqCFbEE0RI6L7f7gYPPSv6lUwU9Cc+YC1Z8oiMxsgCqgpYzrUJ6piOjZk1VHgHguSMDbCnrTyAFl79aCAGsk+XN78IlmNV7WUZwAE8lLd1LStepBCLc/B9pkH54IbEmsDtAUqa0MyJ7SxX8xOIINyl6tcWnFwhnIpyiirp2OKLM+jDCoFpNrhpZULUsa43fwgcj2RkLZuIC/e4qOlxa/AAB7UTbRNr7r5DlE1AnVB3u0aGSec19QaZwD3fNOAFxRlRHykTJtvfYPWuddu/fssIcDAXrVSbFMNLm3a2zV97V/unPrQH2cJpehvzxap+dehLPuEh8u/zF7TL9iagVNVGwel3icMNkKhO2BUeJ2rQJY3LQnlSAb2BXjtYvueLEK5VojUi0ZTARaBtw0gy5KchpgdWQKUyrAIvGwA2j+m4woj2Z1NVQuu8dUCjuh+QMy6KMFenuEA7xpAlsALAcka6ULdbIuPFmCcLg3YvD1nKyXkxqsGULmdKmjHi0I8FXBXw7fFmwaIQg3W/bQkjfAQNlpObnyyALYJ0/Lx76reUlxWSAEvGkCWcNiG86+r3X5f3FJfLECpsg7C2I9aIhIDLKB74Zb6kC1lqLyIDNJirrvxGXjTHakYVPjglvpgAUPpKGUkS6agmz1At1RavDUvCm0AWbpzGTIRrCxluQi5pUACD+1ZNydF5gsit1NZF41Ev7KsKeiuG0ka9iGKdEuLtADI7cxSXMsKHMkAZIWFuaWFNECkulaiUqKh25+Qok1FuaVFWQBUwQ1RXaMlMsQSqRJ2JGsT5EXuDRAlZlUCrPWG0PgAuaXY8mXuC/hFWIAyKy5tddLJI4G7pcrlS3JLc822nmsDoMuMJvvM0FpJgFsKzcq5yK0Bor1m6gJnQK0+GeguHd/c0jwtAIrD22z0Q7KhBOEasnI/cG5uaS4NgFbhtq0dROEKJPUAbaJQ0Wr3FqxOBqQUSfs++4n1wTfuGZwNp+0RK1teaecWgC4zpt2MK2trhm4+8cQXNkjfT24pMo7Qrnhg+dK5qi6PLkg5XSU/Pq3SKe2O1AUdR8DlS6duqeu0lZjbmeHHJxN0iNy8fW3q31C3FFDVOXVLXaat3Im4nUhYOY1r61Opf0PdUlBV58wtdWkB0JNjm8wpC7QCNaCqc+aWusobCj0xaDjZFBpXILcUU9U5cUtdWQD0xNhm00Ky6qJhDcB13eoiWuoicSv0pKBh5Kx8cafBrLpISjJQVcfulnInbt2IFGcI3U6N4gxpoGkrKYkGQhFuKbcFQE+ITgpLk9ygMtAwB7B8yeqWcmbOhZ4MnRL7gVCl2wbKYoIALl9CWiYETguAngzd5E6vHedJTxlouKWAqg7SMiFwpS6G1W26/PzdFY5TDAndUlBVp1q+bLV7LMuXXBagfCLCZcaEug3lnd4FplNcBR1/FtXpKxscbql1A6DqtnWg+ecBo6rO2i21Td59lY26zQabfNLMqjort9TWApwvM6ZhU1sm0BiPXLulNtnTWdRtptjWlkHHI9AtNa5DaWMBbOo2EzhS2qPhECCftHEFcNP09VBJJ9TvNoFjhhwuXwK7bsLlS0duqakFKB8JcjvTlhl14ZoNy6BdNwiAqs7ILdVuAJfqtjTSyhVyAS9f/p9y3UDbLdVqAFTdhoR/dRCrJXGXNIGXL3+iXDkLdKtz61oA5Hai4V8d/vTRU8E7766EaevvfPQU+/czqur26xxXp4DDbiTvDoV90cijbzBW5n6626lBbrqOBUBJj8p68wOd5UtGtxRqAFt1W5ngUtWhbqmyAdAkGlnqtjLBqKprIKlxEAvA9vJaVMpTcfctM2EZk+S/DZe5qzY+veUB6H2Aqk5deyfrj3mo21RQRW1Z5exXvnm5s2NObb4deh+oqsscjFUWULi67dsZ4twsbagtjMuXmTGzrCI+kLrNZJmRiyxtqC2oqg5MCpIaLc2yAEjHYbLMqENWHMhVkc8YRlVdqlsqbQBudZsNt+5JDz1xaYayQFV1K6e7me9Jc0uHGgBVt1EYl3uZUQYtys//xWCMi0ISLgu4JUHDKouH71S9ReqWVmWsAFxWWhXLWDlRt5UdZlXdgFsqdkFO1G2jAJwURNMt7TcAmkTDdCd72UHHO1BV11/STVoAFMEDxEojCXk6KICqrv+GuJLeW4jAqgKHgnqK3uJUt1PbSJX0oILNFfogpQzXbJjbVJUxdMTkzBUq2cuM7zVkSs2yOly9rWqAYlmoGsAhQBzpEWqA7WW+SJ+Z2vy5rLM7RqlwqJoqRT6fHvebxY0ilE0uaBiYC7ugt4+9SfGJTUEQqPfsV2RCy5lhhnf5Yg7d3+3k/8cvlKaaahmIgpm708TLlIqTuiXLNXRqxH3dTs14T0LFJSoDYCCKY2rt0aDYHiUHRnbNZkAa2Z3dTi2X/IKjSGUAFkRifasoGrKGBnCg26lpieIrVqkMwJDI3WFJm0LrnbYZa6NZnVc1GstAZQAGoBtVdCBxG4PCkFyiq3yun+8blQFoYuLvo5AUdd0fPAPJURVc3e3Uci8EUkYqA9Ag2qTltPok0+SYmO92al5W0PeJygAAIqXyQp6aHUDPgnB/t1Njyyw4ilRrwQqiSE/ugjXK0gVs/lOxlzO15ihSjQAZcEZ6TGEKk77U7dRyrUtXFioDSCHKhAclY3MNU4SoCpNKqAxAQrQxurDKzjLAYmcqqjCpQGUAAlEWSHX1hgIII0Q3HeAIk26v5BOrVJPgBFFSAC8f/qBfGvNTyo34AEd08wmOKtUIcCnM+RaSDQmBemiqihanLqEH9/yre5BMozCUNIEhIeiebqeWW7lqHxl7A+AQtCWhhzItoweaZAKFKUIE59QcRcbaALjDnPQwqvJmUOoCIH8EDJOQbmzDpGNrANyRHp0MzeQSUfoIJCsyQhUmNWcsDYBb0EYPn0mqQsq1C9RrhWAS0lGYdNs4CenGzgA4BW30sIUPnUWCbJI8cCZconzRlZAOZ2wMgFvQRg9ZqNpkSNN5/vW9wfLx73KcVgiTkO6ecdh3PBbrANyCNnq4wp6WKUft9Jb74ez4CExCuqda7d7Ih0hHfgTgjvRQRgdXifm5I0SUIoTBsEY6TDrSBsAtaEPCnLZQJSCgHBMMU4RoZMOkI2sA3GFO00iPCdxhUiYh3bEoQjRSQrqRNABuQRs9PEWUQqPaDwy6nxAmId3IhUlHzgA4042HYc6b+Ca7JlChXE4NEZWpRmqFKxiZMOnIGAC3oI0eErSmeZIra2uCL996WVhJbnbmUk0Yqrl18MhS8M3nzoTVh3Sg+ifn31DXQEFhEtKNRJh0JAwgT0FbGp/9xPrgG/dgIwUZw/xDvw7eO4Pfe0+FdKVXk5beAOqN5i7dUu1ZmER6vnr7+4K7bp7R+sxP317OLAQoY+X0z4LFw3dofSYLJiFdqdMylnohLIr0sD389DCYhDl1H37iI/WpsBqyDpRdmiqWMewIC6FRhWHd4bZWu1fa3WWlNYBI0MYa5kTVnEl0H+IkNxh8libkVHyAQe8TQotvVG/XMuS6tdXunWy1exuB93pFKQ0gErSxqDmpN6UwZ14xfi5IisFVNjLeammpTKXgwwlZSV6fKZUBUKQnCnPyqDlnrljtTS1i/HkU7U6DRG+KOkBakDybQZl6tNXulWbVuDQG4ErQVnZcCOkYlKmHxLLUvlIKA4gEbUe5YvwkaKPekwuK6JjwMtPoQaI3Br1PH5Jnn3/9H2y/phRqUu8NIBK08e3b3fIAu5pTJ56f5DVDw5FBcxgGvU+f5ePf44gQPdxq97xeMfbaAKIwJ5uak3pJ6i25MZ0HmBpOGqHojTFMGkaI7JWpO1rtnrfaIW8NIIr0sIU5fYv0cLk/InGYlEHvExLKs+3DpA1fw6ReGgBrpIfCnNQrOlRzmjzMrqNHpGOyLMfahykjnZdhUq8MIApznmSL9My2VsOcBao50yA9kGtorsOg9+lD8mwGZapXYVJvDKDeaG6jHoIt0vOBHUZqThNMevPXjvNNgLMgaQelaeSC5NkMylQKk+52d9U4XhhAJGg7wvV91OvpqjnzJs8FtDXv3xFmsOCC5NkMylQvqtcUbgC+CNps0ZkHvPPuSu7n56mQ7r6iw6SFGoAvgra80d0Qw4WnQrpCw6SFGQC7oG3+hULDnDouTZH6ocBPIV1hYdLcDcCZoK3gSI9OVIdzBdgUD4V0cZh0G9tJAeRqAJGg7cQoCtp0ojqnmVeATfFUSJdr9ZrcDCAhaGOBei9OQZstZXKBkngqpNufl5AuFwNwIWij3ss3kEjQwYUl787bYyGd86wTzg2g3mg+VgZBGwePP3dG+S1//b3fennungrp7nIdJnWaFYIzF39QYIY2HSgf0BNf2DD0CZok3/l3p7yYAKvgrFnAlJHOWfUaZwYwahnaxo2lV7/OkWK9D0NGOidFvtkNwJcMbRX2sGeku+5rHApV1rSMrAYQCdrYND0uc/FXYFz41UvB0sKDbHeLKSMdW1pGNgPwIUNbhRs8zUjHkpaRxQCKLDnqG3FyXEp6deXlq0E2Er9RiPTf/+ecV2sAOrCXdp29hkOhal29xtoA2EuO3vid8OaUjS/deln4D8EkL6gvsJZ25YkQWVWvsTIA9pKjJY30PPHFDcHN29ZqfcYkQ7QveFja1bh6jdFCWGLr4kgJ2ky4tj6l/fATVDvAJKmuD3gopKNw+1sm+421DSAhaOMJc5Y8Q9t7Oezt9RGSojBMZPswCOnmTPYbaxnAqAvaTKDNLft/uKj9SZoYI9IJn6FAhYdCOq20jPAcoN5o0ibmvTZnloQEbb5qekwgV+iZr8wNlEVK4+mDZ73VBJngaWlXKEwKGUAkaLvP9oxi8iw5WgQUCr1FqBFGYdCyhkARwjDp4Tv4IkQ8pV2V1WuUBjCOgrYKczwU0v2k26ml7jLLNIBK0FZhAruQ7vpv2e5hThXSSQ2AW9AWhjlHIBd/BQ5NaBm2R/ZhEtJdLRb5HooCcWdoC6Lev2K8mJjmHelpVGFQpg6FSQdGgGjrItvurYEDTc0GU43b2dJxVPgJaYWW33jSNpFuKpTljiHVY19N2jcAbkFbRYUrmIR0YZg0NABuQVtFhWtWs9y9YHuUeyYjHX/18FeUClp3YEjQezdNgnPNxFVRwQXHottkFO6sqCgdDNHFffEcgHW1t6LCNQyrxJcmwUEVBaooEZZRIFoV3tnt1BYC2UpwtBbwGOdCWEUFB6Qenvrwvaa9PkkRdg+sBAdB8P9ljNX/a3xRCwAAAABJRU5ErkJggg==",b="data:image/png;base64,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",U="data:image/png;base64,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",W="data:image/png;base64,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",m="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALcAAAC4CAYAAAHWP03cAAAgAElEQVR4nO2dCXwV1b3H/wkJCZUgYFQUEUFMRFSwBQpBFFRQFCsUBcSnogb1WRcQ7aKvQrAuT0ulLq8uVyvSKip+gLqAKAKuFFBBCZRbxbJqNUU2PywJyfv8Jncu586cmXNm7jk35ybz/XzySXLv3Jkz5/7nLP81p66ujlhKyqsGUEjiseLF7CeTJy8pr6oLe1Ie8VhxjnVy1Se2ydVx0uTJ/Vq9972LaH9lheeH97zV2//kfm/W7f2aDmx93ffEfhfwPDk+tGnDeuvH6wR4z48833c5LeVRs/EFyjv2Utc70idnW7lz507qdkqP5P+5RSXcz/j2eYeOna0f5+23atUq+T7Yt+K/uZ/nttzuAr8+Zd/DRepqdlFOXpFcy0VflvPYvYvOdr0ufIguL59o/UY/293EttgP3y/0/BHj6PMVC6lDx9nUYtAy68c+qcydeba8cs0aeuOVp1JOgu+ibs/X1kXYC3jdgWfLu510kus1u+WySMk5WuhsHXtHvPd9W867QFD0DrlEtIr3hkjMnMfml05wnzweK+7B+0CYbnCdPO0zJBpSve4h58sbrJNjMlVxEYYd8VjxcfqXFiXlVSuJqHva7T14Easnck645rvWRPS9qhOzF8DJtaxZSCQtoqVD6KUFPrj07594niCtpQVo36419/XaXXHrt5KlBa91s/62mHssi/QTai+Q7NZOvffXws9wW46ZnJjBy3n79vgdag7FTC7qT/t9TIfnDenNnaVc3YL+Lb/uZt8Ts/CmQ8+Tg0l3jLd+Y/a3sbvh5tv4S+p9K653veYrLVhWUOLE9m3P3546kdjdk3/8ONfnXS23lw3EfHH2iW2RbHHWkhTJsU7U5ifikzv56IN3Uy5sXeSdM0Ufs3B1C1rHnvCYY46h/I9Pp53btiZfk50CuX2OE7JUfvq+1MmccLtl9FW3hjqZ8OTo1w/emaPn5ArZkOuc+f32nUHA7G+3vI39Oew7O3Tpme6J6ydo59KCNCgZFFARjxVPZk/DakS2E9GhhjXYRUqPG9jDvtjLLXwFkwxuJ5e8MI12rmFy8lpS4cB3Qn8+6PaTwoxZ9kWhEbHni7qa3bRv6WWBPs/OkKK1LA/p7a2Tys9XJhuA6bt21z+t/6GM4my7rF61G9i3Tx/X+1jWeumaeCidJdAwNLrfWcOSPWrfINurL734vOuzB75dEuhagfdCfl+raKnh1OaxBJXzQA1nG61CJQA6l5xK1ft2J/+XvQEpUTmw9TXuQ6WC9fHPrPO1anu0dTbZB1Wq4fsrpyQbrQt2EYqOEhF6VIF2dPFbs1NuiN1lWCNEXhHVfv9x8jU8qBhGebsRlpqtr1Gzo4f6Xl9Kxr1kGztDbODefHMBlV97fYp8osE5RSUpymhW3D5autQ1LNo3JCPnUqLCnojtLXvXiUY7ObDtE5eiu8XARcm/02k0yfb43kVnWbMj+ci5feG8Yy6m/K6/TH2ztob2LCzz/XzQxkvJuKjRovfqUftga1U660Sq4c273WX9DqLkDkrFvdMCfQINHyg6iB2adDR+8+bNFHviYetv6ZnTqYIWoWMSgkYECzOSnDmxA2KV/Kd5HWifLN0duh8z//wHqePsPWce8wLWn9aLJeVVUK1cZL+Xd+xoqtk4kzZ9sUJbw2Uay8JVT9iUlFcdR0THZa6JBxGJMM9kgw/IKQgzhLDHDVdTTI/Hisfa/yTH8SzQrVxZUl71rP2P1fAsUghdaf8B7xu+NclQ7E7O1WGRzARZuciClITeuiXtNiHUZ9B6QYGU2+bHVNDz8TCXHx+qx9n1RFD1GY63tV61339ibVLCEFp3KHpNxNJln1pH2JuUoISW8TD6FfsGsRpsf+RBG4KswpSlQR5O22q4dFm9U44tOkEI9HBWf/mU53uwejXvNokrNgU9/8Q1tLY/ssj1miyBetxW7rCqBftvWNS8ZB3ehGGeAz/SFpWygcNcr0FjZT8Dp/R0OxGqIJCo4OvGEAYtlM3U+w56avAeVrgEkoa9aqCGN2v7Y6pJtM3Pu48H6/Gn4iYCiYqX56ssKjfaoZyQS0/uRW+//mLajWctFDh/kOWDtGLfBg9e2EY7YS13FHD5EEix37vs7KTjtErYxtveVUoabvPKC94TULoUtak3pfB8sEM1nOcUpYM1K4P58wgfTozbwFaRsfB8v3udPoS+2bQu5TXnMfAmO6xNK5oRmxq6C6RFZePGza5Gs79hVsHfdqPZtQnr8Yfj4KkG+xH+Douwx5sdfiYd+G6Jr/oNw9p5Q4Za9p7CgQvdB9TV0J63y1zf0OZNm32dAP0Q9njzHg9yX0cDYNrGb3ssdjY6aXHLyUsZo21T+bnnDk6+FnQ2DTSqOE/OrhLZhu1febs1JvNm2rKzR1q/2WGV9ZZUalnGejoI9rck24jZL08PdH7phts9l1/Q0vMYofNMbbX168OFL7k+qz1iAnZ3HiKHmb3vX0R7FvaTuoas/6CyPSfbeOcPQnIGDBru27MjL7/R+u0VE+dEYgL6WHSIq/FhmPq7W+mlGY9Kf1LY4zBtm4iw4XkCLwZVsNtBGYQNz2lxVEYaPnLUmEDHB3o4YUjVjdIJKKewvtf79jtDS7PDbJ6lGl7Yf26Y9gTG7iAR8GyWmzlDKCWDYOsSEdssi8vznYetlIw9GUoJL8QZ3SBDoIeTXYbqQjTh2R2tK9IwNDU+rntsO3N5LzYkOYVHCxtNTlHBmw19A9BPOqgI7D3hpKS8CkFfbh/rpssOIhobjxVLRyCJ3FXgrPDnpt6rAekUjxX/y+sjXuFLWRERZDireMH4TvcguCze0tR7SjGnJbz0LLRl/olIYUk8VmzlVLDdsTzHnAglnFlSXmVFdNpuZB2jftWOFQYJCVcTVB0hBKu+vEw5/sLg6me7DONFFwQ/a7XuazMclxFXLNh2RYZidIhMaFuYa8skodFxbR7aOxwBwLZN2sZ2dnp6eqrvBVwcYLNQBYwxzmuvWbvOuvasOQu0XtsL7R3ujLZ+ZsbBKWPwgF5Uft34lPdh3VKF04i0YOEHVPSjfOvvn57WhUaOukzbtb3Q2uG8aO9BZ5ya8v+kO9wJf7x0hpgH8B6cNfHjp1vkmRq7dklVXU994G7f9usgtMu4DBhOWLycI+AGwNqrYLxudvQFQjNnjYdBEnGEzs9O/M39Um3Gl8jzoFVFRv2XvVzPeI6tsjZlHra7G8s1l7uvwUO3JVerhDvZFMK+eM99D9AVYy6WOnbEpeNo2YcclyS4Le3eR0WHNBeeg6PXVorWDm92xJkpqwQYdKc9/hJ9uGiO0OQdxoGB9YN02kr79E7N5IhhjPdk6RxOKExWkqAEdcwPItEi2KwSsmjeBFVo6XDRrjK/sCUNv2QsXTy0PhfCrNc+pIL8HLp3kjvDqwom/k999LN9vekz59Prs5/zPbOmjlff4WxSCpb5814L7cKpm8cef4buv+93rqvApdXLOzQkajucN3yY3NFOnnt+Ft35m1+6Xlco7eo6nNfZOtML6cQ54eYWnUAFff6q4ooVStbhPMVPtnY2JZ5KljBxjl4o6XDnRkNn+o9MwBsCVUWzaFmH9+3rTv/H4nxkmxe2pC/XuV25O5eeStV7g8Uud+naixbNd0eA8XwYgzyFTq1jWLRs7f28pnk3vp/pVExcdpSN3dn5pbcmS0x4/dgbli/WLk9+HkEx5ONBay8XZYBuRwVKJk0kr9y39L9SXvNbnTg7nZfCzjNySAJ2AkfSQeTvc65AsBdYz3mqyGPDpGilom6VgjHO+dgh17qdEl0EO3wUlr1MOYe47dq8lVBe53HcLOf7V92eVA9ffvVN0psqXkAetI+iXIWSqF2HI6oKsW9OZMZKVrr9pAl68Jr19ToTPAHOAj4sQfOM8oY7r4QHIVGzLLThdbZsRYFOpb0Onuc/H0l9xq+z2VA66GdkaNeh1HVUzYaZUp+VRZmEYy3uXB7aY7MsTgkLM25CrcCmkwkabM/bbYqepADo22leMPwKenzaZM/jvfDLcxyUsJsv3nJU1aSpZEjhBfmH6Wxish/YP7zocy/G33anqy5MGF6drXYYYVGy8VE9zrHUJ5aUXy+rQKeyTYmE6zZLNSaUdDhv2ZRO7oWGJsgONCjKloUocMGCPBPZilM1gdS2xnU4r5qIzvzSuuC1GbocVaDDg+ei8IC3dMqWTreVZk4U2zYX57JpddOFtzyEujQbUOUp4AcSSdtDipKaYU5LPTRyPN20qfDW7grzL3YiJoZ6crqdznPc9FJ/mgxbfFAhp9mxm86wwdA1Ye2cviyNxYjspQKWQRSzvl1UtsALZ2dnu12TJUiOIYY2vFh77tber9yCF8hWzRogGqocgw4C6MNdBR+dBEpuQAeHHZx0LBseDilwpnND3jpePTmTkTSvbSCiZ0WdyyNwh7OkU7E8Wwla5oZFurMTUj3HtNoiDcz0IHsYYWcnpHeR70ERyJdyHBYboTs7St0RGG6aDhuv/CiomfSVYTeSNXilf+LVfMI382lT7zAFtHEOKykbnMQkGHW0Glw7c6fOOyuLJ5mKM7EPW8gsSkKjgUTaKgs7289xUQIabSTzg9mSHa08NGKXFszagrxZhlUOEa5rUSq8zHCa9qjiiCRzo2Ekc1wUdXYGyWj6DRiKEcrBotB32heegaOgz18ot6hE+7VtMjZm8wzENgrjX7gglZJXshq4oKn0ivIjI8OIlVfKJwpXZyY0RFT4ZQVCGXtEz2WCjHS2Hbjkh64saLwUSk6cYYq60N7ZiERzUnHPVK6TuurkirzwaqS6K+s3UPu1eWQ8ew/qeNieSLodHRvy2jy0SjZvHF6w4O3k32xyR9XwxmHW3WzaYzO0XdsLrZ1dvf5J12ts9jNnYkdS+DhXr/OPNBgx1F1/LqQXlDR6M2c6VgE8px1neSC/EuZBcIeJi0PEdQZvUaa1fuN+8Wv3azf8KuV/v2JSbIpSK8FvgCXbrbe4J0vnl8+LclZJRneQvGHj6ssuoEl33MQ9Ho73+5HMQCJTDtJeoHC/F7zkjcgnGLSUXzpktLNlwcQadN2NIWvP1tet+nCy7r6i5DaqMVIRlc4GB8OQzEYGHNOuTejrhKFJa/3aH6lfAcaSNZ2NVBhsPLv9I5siwwSMHLNtvBKAsSACDD/ILRW00OnfV21U1lYZGlyyt/x7B/d1SKyoo1mwXoekt+94ovRnNm3MbAxQRiW74t6Haef272j+vFeT2c54pJO6dOm7b9A110+kBfNSIwhYXQjW1337n0Mfvfc25wz60KqIChNbOHjIcHr68alpX5uXpEsE4oMKeuoppEsmTpAqOhosf39e4M/oTpCurbN5emwRjzyqVqqGX3JloONh5NCp19YyjPjZG8EpPc+mW669hFod2oo+XF5JW/+9g64ec56WrDdIELBqzUYa3P/k5PWef2EWfbvFe4jRZRNV3tlQbcKuxwP65DBFwHVRce80ij3xMPfsOizvSjvbS6eBnHthxtBM4ZXGQ7XlRumYzetorHtN7mhKxNwjs4QTNr+gCpR1Nk/pjxvAujcb4GWVQEJHlS4Wyjqb566QbWkxkKHTCSZ7VSjpbJ7FRDaPq0kg8SNSSrPwqqCERUlnV3Mq5cmmhTYN5O524iyKFxZFkp26psY6ujHhrK/ZoJ3t5MG79VRuyhS6hEVLZ2dLsSEvfnv7NVrOm3Znh3FsmfPqAmsjcVKP0z0LStiwRSy8fnAeUepSWNFx7IndxdfUlZQm41q/m2+roJturPfh2PX9Vsu6wtNto7YYOodX5soJzoO0pTie1+k418hRY6y/f9hef82GyCub9nad59HvlwWNtzVGGv93FxzMC3h86akpJVpYbDVo3a44N6EjcbLJe23Hg7RTxdY9bUuNCh1wzYGD37fzJq2SLP3/RpR3iOfna7etoH0f35D8f93q5dTnjPND717ffHOBxFHB0TKM3FERbKk09Z76MAtINEtBr6fqa9/4dDTIbdvTkrz8Tgf111s2/MMqcQsGDBqutf2yaOnsGc884vkezF4sUFRhQsKkyQ4dhf1fpdzW3T3PwyOvyy+oeY+Dlh7UEsZ8MCPmtv44i8GxOHXdqMynAiUqVp4OW2S0xeoA79vVQtjhAxLN62jMDzlFJdbQwv7tBHOIvUqyKzpRopQWCkb7rTZ4xuLC0+dSToujPD8jizE1J0XFhbx05V4TV9DCQuRThUSVXlvZMALLtJPOpW6vVR6sJykqafPgSZYza3268DoaJjJVKOtsngsA6sQEndlRo9cLVsLgrcrLWB+W80fwPV9V2iK1b2pWxzcJj2GrPMk6pOfkq5Xq3bvcGyt8oSpR1tleG4yJN4n1DOxEysvNzb1etTo9M2A3Vclr+ERBhEFZZ+/nxByGTQZevdbbM9Uu6FnYf67nMWzm+iAaPJ7BQ6UfibbViF+xTB5OL9S8Yy6m/K5ivYgTROuylqOgCdR1xkdqG7PfXRhsqwx/EtYDtWbzLOsLlDVLoTQijmc7OoyHVVAvqiAokWyYjZzWjLAp+aHTwFY7XeByHLZ6h1O6VaXpUFPXXXJSkwHKIyQ6TwdYyVWWSVEVH6nGBukI8Ey39gG203gy0Ok85xke8LrChIzPBSkYKoOqyN8GqecufZ4+fYzwPTG6lnu2o6sqSdTZGSTqbA66yr9o6eyPPspcPHgm4Gk0w6CmKqrDktGYCgORwlgbNTV/NaaJM4G8jmoqoirp7LxjL3W9lq31fuHX4kRVkkdtE2S21vqd/XJqYViV1iBlnY3kKk7gOpZNnHPBKFdrm/d4UNkdKOtsXhYbuI5lMlNNOmD4gHOPE5WBqEqHEZ4ZyfaxMx3n8EGJIpwqUdrZzU92W6KzpZgyj7DVTj3Ygc5epepsTgdLkC2FlHkmvDAh4T5Mzk0U0tRCNkk1L/JYZeq5eKx4Wm6ilGza8Ayj2VQeHMSedJvRvLwGwmCP2e7ZISCidJzZwLnnDna1skZNBk0rrbFdiz3tocRpmIWDe2PAK+lBEOxStOxqJJgTs4A7J+oJAtKNhkixZPLAZGfHY8VzVK5MeI9kNjB6xLkqWzmBrQnpLHjfI1GPtslyQmdl+VBQYnYa+4JrUxOPFbduyh2uKCxvCa+WL3cHmehwb2e6RoxfCjxJrorHirn16D1dGeKx4mFNsXByGia9HQkh9cRXNxKPFf8rUWnZXf5CwNRHng7b6AYlRKQYhtxOoo4mmSL3TkrKq4YREfJbpIQIpBtTYwquOExEOLjdk/HCNHv9LEvgzg5KouI1xrAeid9RCdumCbYVqBMNAV2sSk3kh1LhLimvGpBQJOrzc45ojGwgomcTo/N2VfeXlnAnRuVpkTBHKAbrvMnOfXhQwqwBWyeeMj3FBSMiUoGgj4/Hip8N2i/Swl1SXtUjsV46NOr8iAZiekLQpZYuQuGOhDrCQJZ4KVpZfIW7pLwKO9pg2YQiIjLHBL91OVe4E1qPRdGXFJEFQNPSg7dUcVlwSsqrJkeCHZFFwGbyfcK0m0KKcJeUV2FH6l0jNyLCXL5KrDiSJIU7MWJH+uqIbGYRO4Jbwp3QiEQjdkRjIOl/Yo/cgRXkERGG0rGkvMoqpJSbWKdE6r6IxgSW2KQ1YjIiooE4FIN2XsIFtVGDZK7OFJy5LY6i3CPOVJblxURw38gWyebKRpLyZocPUFLwwXAs4fbOk5+lIGS6evUUcax6ZeILz2tpJX3RXRQ/E/hVE7dhkxrnl07gpqlqDGipi9+Q7FtxfVrpVpt3f9CzCInJ7K+soANbXw9/393uamyJ7yoajXBjCkbifhUgryWvgIyJoMQS6m6rKAedTfctQUWjyJhrFbNUJNiUSLS99z3z3dVx36gdpqrOebbctyxZL9zWyMVJIuak4u77rQBa/KxZ8w9uPqmU8+792lrimIo1U0nc98hRlx2877VxYSFs0+87CFkv3PtX3SY85qFHn6GrrxiZ/L/okOZWZjpRtgyMZKgqYyK8glm8+576wN0H7/tHeVaZz2y+7yBktXAjQV7trn/6HoOR6+IL+X7tKO4iGsGhWcDsYBLVXz4lXIqUXzfe975FBWqs+1aYqK8hyGrhlhld2JGLxzPTxdkiq9c/mU4zlVOz3j9hIR7YSXe4ywiyTLnvMWGzVJWvaiiyVrixmRKN2hN/NUV4nq5djrJGdz+gYjNl9JapcznlvkeFx4wY2k84eqsqF9ZQaClTlgkObBPrsmVzQo68bBy99OJffY+p2fqab2puCP+B7xZT7bZPrM1ekOq2qGIDAxJ+RDp20WyFUXvQGXIFxkdeejXFnvDOnqCqPFtDkbXCXbd3q/CYrscfIXWun3Y/VnhM/ShWL9wQZCxVar9dokQNhxnImoUclkWkFsMDZRtXLHO6YLYaddm10tctO32Ar3BT4r6z1XKbvcItWCYEzRuK4/1KmVg64EVnKdMpy4DRf3/lFKJK8fLKpm9ZP+ljWx0qzG2Y1URlDxN06Hi88JhMCnZocppJf1JmxpJZ/plK1o7cqunQ+RTl5zyifSmdUNqV2revVzd27dSa1n5VH6S9Zctm+ue6tfTtlnVKrykjsE2FSLgV0Krt0fSr28fTsKGD0ypwvnnzZvrN5Ido8VuzM9LutV9+m5HrNBRZuywR+SMHLQW4+pN3Ah3fu+xsqvx8pWXWrvz0fbpizMVpV+6HpmNGbGrSXP7Io49T88JgxS7fWvKp9LE7d+8VHtOsrZriyA1B1o7cOYVHC4/Z9cN+y9TuBCMWvtjK1Z/Tzl0/0Py5z0mV2c0vbEmvzp4p9M9QxbALB9OwCz+zznbN9RNpwTzxiH71FSPovCE/o249yqhb1xOoVevDPJcqMiUNZPrZVLLW5dXyBJRwHFLFPfc9YI3ODY2skKsAQRyFA4PNaAaRvS6vmdK9Yj2N5YcJgg2efnyq5RuSCXKzMGiDJWuFG5EnurEE+9P3015Lq8bSyXPq7aoGRipn7Gk2kVXCDS81RJ2g2FE6IVUyDB4y3BJsU8HmEzNK+44namsh9Pr7V92e6G+xT4tpZM2aO2yMIAql3nLtJVlbe1Q1UDc+/dwsmj79GareG9wolUWxlubHUGJaxOghS35BS5o8+S5j1simA2Efe91EWrd6uXRLsdEs6D/X9LQYZgt3kEh2TM8LXptp3Po4m4Bt4LIrr5Ue0Q0fxc0Ubmtt/Z5c4Gu7DqW08I0XI6FWCHT+5w2RE9q8Y0dTfumtJt6GearAIIINC97y9+dFgq0YGKlgIcWmWgQSAGVCcxUG44Qbga8iwYalEJoCWPAi9AGdOoxXIrDRNzGg2CjhRiowkTM+BHvlcvN0z40VbMxlBNzEQGpjhBsdI8pxB95d+EYk2BkGAj78EnHRDdOWJ8YIt8y0Nv62O4WpGCL08PDvJ1mzph/QbCEUzhSMEW4ZC9jEm67JSFsi+Iwec5WwZ0wy1xvh8mpFiws2kR269MxYe8Kyc+dOy410wXurafmyv9MPu3d6RtogSqegRRGdespJVNb7ZPpJj5My5koblhuuuYRmPPOI76fZQOqGxgx/bonMRn37Bgv4deLnKhrGTxuCjHRlYc3YttBv+mIFvc5pVpeuvejeyRMCBzrffFsFzX4ZJdLdpGu9lVkS1hm0LDHCiCPjmw0fkTde8c+0xCOIQQJrer+lDwT655eOC2SqVkX5dTfTpDvG+56tc+mpUg8aDF+wD4ShQ8fOvp9COorC/nMz3j8cKowYuWWiPbZu2Rzq3FeUT5Q+9pU5b3KF+7nnZ9HkyVOoep9YcJBUp1m7IZTbpjvlND/M91hoiGp3rqUD38yzkvn45eaLPfGw9ePlZgDTuewM8s2mdXRHxUN076QJUsfbyEQrmVSOxAzhRn2aohN8ddz/+Xqd9QUGnaa3/2eL9LFY/7LIjPp57c6j/G6/JcrND9QuStx3M/wceVbK63W719O+lRO4euMtG/5B3U7p4RJy9AuWV7ICvq86+IT9yJMvCY8xKYGPMb4lUAWytVp4hJlO8UCMHDVGeFzpyb3o7dcPJsU854JRnssPeMMV9H2ecgqPDNSWMBz47j3av9J79oELgm2phYffGWedL5xh7CCMIMgu7woHLjTFW9Ac3xIUHcJ6zQ9Mp5cHWGZQYkSDnwSsbPhSnQwYNNwy5bOC3e2007mCjS+tsP+r9V9gBgQbNDu8P7UYtIyan8LPOnXTjdfT1Eeetv7Ghm99/DMrDA0DgRNsUpGfO6hgY69x4fDRwuPyOo8zyg3WKK9ATMMogyECX9Ki+eLUw2EYfdWt9ME7c1yfxHRb0PNP0md0Blc0O/xMovyWKfkFg/pF43NI6cYDQqtDlSg7YmNZWdDHP5lohjHLKxBrUBkB+mLtcmvXHjQ3iQhM6zzBlm2XjVX30hE1hLKBVipkRp+Pv4PkwLYehp/8H/e923/rv6QLA9SnMoKNGdcwwbYwziswyAiJtTSWEKrYtJmvkcnvHMwokVtUYi1drNHaA0tQ+/zFNy0y99xt+casz1csVNYPGDQweMikkDBI9efCyABhCDiEQ4ad27bSxP/5Q0M32QWWGijcyntQURIP+UDwEKhC5PcRhIl3yvUnHl5TBZtMjn6H+6ssE64fKX2sH15qRpEWxw/esiOdpO6121ZwX+9ddk7oczoZMexcqeOspZbBqR+MFG44UclEukN9B02ISk9BWCmdwLhibXTragKfL//ku6xQLIzW+MFoh+VIGGq3r6J9H9/A/eTv71YX6gVDFjaoMNeLQPC2qYWhjIuhlNWYyJijwwJ1o1emVajkmrU7T8t1PamtoX3Lxnq6k0L1F9S4JQv2NFj6+YEHFkswwzAvhlJmOaJTsAEyreIaPPZ/fpeVpAYVi3Unoz/wzXzau+hs2rOwjCvYWGfL1NNMB+jEi9r4u0fUa4LMS9pj1MgtU78drqIffxjO6ScoMF4MHjraMsb1Yc4AAAQ1SURBVHmLwOaw2REDKbd1d8pp0T7YleoOUO32lYHWsJlMzClj5TVQa2KG45SNTDROUGefdIDfxtJ337DO4OdKSsliTHrdPZGr+y/Tn9Q6UvPA9TqV9qKv1nl7Q6J+j2nFoYxalshsIhsqLRrCrOyk8F6mfB3APQBLD1z3y3WfZVywbf53inhQMU1zYszILVPQE6OHCWA54FwSwEz98co1tGrNRqvezcaN8i668EZs2+ZQuvDcvpYJ3cQAaJmHyrSirFlVWaFX758a0Ao+EErTw8TSBfsdvwJVorQcmcacAOEsLgnXVEDMZzZhjHDnGhTBEcHnm81irZFJGCPcMuFJiCiPaDhEUT5wezUJc0ZuCRWSnyoqQi+IIxWRo9ARTAVGqQL9XERtZDo5Qj2xZ18WHpNnWK5uo4Q7r6M4lOn+B6ZlpC0RB4GFUjRrYklikgGHTBNudI5o9N71/dbAcZQR4YELAqotiMjrLD4m0xjnOAUXURHw2BtxqRkpuxozEOwevU4XbiSbHX2Bla/FNIwTbittgkSY2bIPF1qhUNEaXA+In0R+FJFgw2GqebdJRt4DvAIXE5Fxjx1cKPdX8tMZOEknPVhEKgiS7tvvDKleMbyq2VUYuRcb0BAXqJKFalkyIJ9JhBoqK8Up0yg7yvUthnAbq344IOmIk6la6E0BeF3CE1EEAjVqzXWZmBuPFf8rNx4r3k5EfzSgQSnAt1vGBVZniFVTBZFIMgJucPzkZLI3lPFYMWK2NjR4kxIgjlIm4hx+1ZFg6wECjrTRIqpXy+2LMkhFPFa8khzakgGmtE4mjrLfWcOiEtiaQT50UT4Uw9I7YDky2f4nKdxYoyAeoMGalQCjNjpMxMw/m5eIpzEyeZJ4U29IDcol8VjxMPaFFD13QsDbNOQSpUYiinrk5TdmpC0R9VFHouh3JBlq4BqUf4zHil0rD5cRBxvMeKz4OCLyjobViEyo0tVjMpw3pIkzZOjPhR1w4LsG0ygPTOwZXXhaKOOx4rGJZcqOjDVTItUY1oCNPZzLNC4eWiZsUV213hwuHKbHY8U58Vix51Pla37HMiUeK25NRKdlWsi9aHfMiSY0o0khM5hkMDh4FZbOicHXF6kA4YRqpXVJeVUPInqWiLprbX6EURgSjT9dRqBZAkW/J4QcAk4l5VXjE8ryQ0M2NhT79piZdLExI5PkX5MvN0bpsbbeOiihUzvEY8XTbNN9SXnVgISgp+2AhUyofutupBZAjpBo3Z05ps+cL7yWwlzjUGSMT1jO0yKnrk59qsCS8ipoW6BzHBt0CVP95VNUs96/mGrkBZg5ZL0EQ1Qxwx4ONVrmxGPF7lotCtAi3DIk1u+tnYfW7qhseeDreV1Ep/jZ0EEFPXuV7WuQxjchXnjusbZrv6za5nfHOQWH7c7rdNUXHm9DKQH7SWYhov8HcPY4De7gKhoAAAAASUVORK5CYII=",N="data:image/png;base64,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",Q="data:image/png;base64,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",x="data:image/png;base64,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",O="data:image/png;base64,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",M="data:image/png;base64,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",G="data:image/png;base64,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",j="data:image/png;base64,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",Z="data:image/png;base64,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This compatibility allows users to leverage Jan's AI tools effectively, regardless of their device or operating system."}),"\n",(0,i.jsx)(a.admonition,{type:"note",children:(0,i.jsxs)(a.p,{children:["For detailed system requirements and setup instructions, refer to our ",(0,i.jsx)(a.a,{href:"/guides/hardware/",children:"Hardware Setup"})," guide."]})}),"\n","\n","\n",(0,i.jsx)(a.h2,{id:"install-server-side",children:"Install Server-Side"}),"\n",(0,i.jsx)(a.p,{children:"To install Jan from source, follow the steps below:"}),"\n",(0,i.jsx)(a.h3,{id:"pre-requisites",children:"Pre-requisites"}),"\n",(0,i.jsx)(a.p,{children:"Before proceeding with the installation of Jan from source, ensure that the following software versions are installed on your system:"}),"\n",(0,i.jsxs)(a.ul,{children:["\n",(0,i.jsx)(a.li,{children:"Node.js version 20.0.0 or higher"}),"\n",(0,i.jsx)(a.li,{children:"Yarn version 1.22.0 or higher"}),"\n"]}),"\n",(0,i.jsx)(a.h3,{id:"install-jan-development-build",children:"Install Jan Development Build"}),"\n",(0,i.jsxs)(a.ol,{children:["\n",(0,i.jsx)(a.li,{children:"Clone the Jan repository from GitHub by using the following command:"}),"\n"]}),"\n",(0,i.jsx)(a.pre,{children:(0,i.jsx)(a.code,{className:"language-bash",children:"git clone https://github.com/janhq/jan\ngit checkout DESIRED_BRANCH\ncd jan\n"})}),"\n",(0,i.jsxs)(a.ol,{start:"2",children:["\n",(0,i.jsx)(a.li,{children:"Install the required dependencies by using the following Yarn command:"}),"\n"]}),"\n",(0,i.jsx)(a.pre,{children:(0,i.jsx)(a.code,{className:"language-bash",children:"yarn install\n\n# Build core module\nyarn build:core\n\n# Packing base plugins\nyarn build:plugins\n\n# Packing uikit\nyarn build:uikit\n"})}),"\n",(0,i.jsxs)(a.ol,{start:"3",children:["\n",(0,i.jsx)(a.li,{children:"Run the development server."}),"\n"]}),"\n",(0,i.jsx)(a.pre,{children:(0,i.jsx)(a.code,{className:"language-bash",children:"yarn dev\n"})}),"\n",(0,i.jsxs)(a.p,{children:["This will start the development server and open the desktop app. During this step, you may encounter notifications about installing base plugins. Simply click ",(0,i.jsx)(a.strong,{children:"OK"})," and ",(0,i.jsx)(a.strong,{children:"Next"})," to continue."]}),"\n",(0,i.jsx)(a.h3,{id:"install-jan-production-build",children:"Install Jan Production Build"}),"\n",(0,i.jsxs)(a.ol,{children:["\n",(0,i.jsx)(a.li,{children:"Clone the Jan repository from GitHub by using the following command:"}),"\n"]}),"\n",(0,i.jsx)(a.pre,{children:(0,i.jsx)(a.code,{className:"language-bash",children:"git clone https://github.com/janhq/jan\ncd jan\n"})}),"\n",(0,i.jsxs)(a.ol,{start:"2",children:["\n",(0,i.jsx)(a.li,{children:"Install the required dependencies by using the following Yarn command:"}),"\n"]}),"\n",(0,i.jsx)(a.pre,{children:(0,i.jsx)(a.code,{className:"language-bash",children:"yarn install\n\n# Build core module\nyarn build:core\n\n# Packing base plugins\nyarn build:plugins\n\n# Packing uikit\nyarn build:uikit\n"})}),"\n",(0,i.jsxs)(a.ol,{start:"3",children:["\n",(0,i.jsx)(a.li,{children:"Run the production server."}),"\n"]}),"\n",(0,i.jsx)(a.pre,{children:(0,i.jsx)(a.code,{className:"language-bash",children:"yarn\n"})}),"\n",(0,i.jsx)(a.p,{children:"This completes the installation process for Jan from source. 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",h="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAANYAAADECAYAAAGU+u8oAAAACXBIWXMAAC4jAAAuIwF4pT92AAAbyUlEQVR4nO2dfXAUx5XAnz6QhMMKFFmuspCQvfiEEfZJ9uIgmfgsHH9d7IpIbKw4uRTIyDF2UhG4Yv8RXwI4+SM+YkCX+Oy7MxFUnBCZ5AK+5GywE1AcAqRQLFccML7KhmWFnTpQgZANAgS6eqOZZXZ2ZrZ7prt3erZ/VSrt7kxPd8+bN/26+/XrgvHxcXCiti66FQCm4eFkIt7qeCIhxVlOa/ObgZlC85fauug4/tmdWFsXXaX/v8rpnGykbqOXCyQT8QKa8wsJzmFG2gNirV0yETcfS8vz9sffpipDT1ekwLFm5oyM73t+/2bq+xtrG10v/r2HPqb9v6x04k53dI+MF6LgrQ+GNSODmunT075jhk6ZVkYm6vHcsimp34TKLDcPCOoPAPzVOOB0K80PCu1D4vg0Pr6iC1Ys73LM6KZH3qLKCCw1w3fgCZrEk+/4A1VmZplRZZSN9168XDvD+J+WmfnV41Ri8+9F1fdQFyDtrY8Z1nceHzcufOb1T2RkRHvrzHB/9De9cSb1OaPxNGrGg4zGc2gkwa2W4XhdDfXG0v5zzcyO3LXUSGV7P7enMaNmQ70xKiOGFLxuNiN1l/5xazIRX+83w2yZmU0F3zXOMFLtPlvPUUaqFXPNmgAg1da3NDfDy70/SZ3O2khNZYTGjjkjcDGArBjGKbKwuTT1uaN7pLWQRuDmDJ0MVMM4vbamCNrmlZgP7cwPIzWrre/HQAVzS406Y2SIF7VmOOf6prTvwx9dpM7Ms1J7sbIK9YyW0yY0m3lmDKN03qxJaQZqKjPrG92u1AVlV0LZgl+7npONNJmZzbjSuc/D2f2PppKX3bLNcyZpNbM9UBFzOkTEvkPnM05La894GqhgNVJ5GqggvSlnGKXzGyJpBiqXzNwIp5GKdqMQI9W4pqvd6IbTi5uFfckC1+fDZH1bf19Im7fTtXhhKzEHaXTr4+CLCcvyWQDYCABTrQdESNU6SobD2yt5ZwoCKkcjMWZ4MQGzgf0IkoqhobXO7lokfYuRkRFouM5+jJpHpaxgJa2PIhpzXXYn19TUwJ7dv6XKwNqbMxNtWQbRlkcdj5vp6YpgZ0v7BT8/8/PT8O7gBe0zTHTEMtIUk+oVbaVAl65T5eJ7XtD+gJMUhZoDIinWX8lc3oSDR48yuc62fefSPuNjiDzR8xEcP2XfPaR6K659dg0suv8+osK0zP8HGBwctD0m4gXiVLHDAFDnlhCnBq0zdjt2vA5LH37ENcOSOd+Coup7vZaXmIyK8W7DDPz0WknIycuDdlLKPNCAn3HwwfhsHYQwyJh9MUwds+Ssd/fs/mVw8cQfbS9Y2vwSFEbq034zRkmwQiVzhFhszj4Z1oEQM6VzX3Ac0rFWCgQ8dna49sd4j4PwJNQNtCO8B5N4IoXEzGNQ+Hnqx4pSn63jUwZSPorX1V2W9ZzQ6li2iq0QVA4q3kmcznZ6IuvwW2V7P7UTT47pGOqNbfQzrpgxnMbCi5MFnirlYiRvSybi1OONrGH90mDqDusVx0rV1kVb9el233iZUvSDU8dyCQ4A6V+Hk4n4NMtxx2fWOvBpObcimYifFF4pS4VSmKelSXA5n3vFrOOHthXiANeKWXVKRIWAd9tnrdQNPDMzED7hUFsXPWk3rcOKGTd+Eepbn2R92U09XZEljpUCghEopwkHt0kGA85jhR09XZGNVI1veXm56wxKJBIh9t7iRE9H98i0jErpPva2/PlPA0RFYVkxdFcz1lQgnXeWpT6b3dpMnEhVSrcgBsyLBvwU1Ol8dIPrf3kpnEjuJ7oOusUZazdwCmj+7EmpY4b7nJViUSO4Zk4M7of+LUtTv7DWMyKdOvCOt0zvuutOT+n8QlQpfAF4ofOhjuBWSjaIKoXTOl7INhXEi4KaGVdTO/OS4jYhbsbtRXF5eWHaTOOMqkI4cmziO77ut+49m5GGeD6LtlI4rdpy8y0ZvxeXToHWr+ymuhYtVGYSTcWcpCRiSjXbEtw07HyWnc5zwotPMy1UlTIK7ORwQqJD78Qz/WxZk5M5YqHzw3pfijtjRzaLqxTPzqGZ84ds/cJsMU9sWye5nSa80yolyhVVuHuCXcUKiqdoBUFnEBLKPrmNaO0sL2zNJHPFcG1E2YLfaJ/RuyVbofB4weQrU5+Low8LrRB4dUugYdLMh7U/keSvlU6K+VFjyfdfmZhBfOy5U0RXDaXziHr8ZCGUnjDq8ZOFwFfK7JM08IPrM3yX7JBKUrVVJQRnqcdPHlSlZEGqSiWPnSM4K4tBW9nej55itzIslxBIfP6kstRtFy3bnYQub2KK5IuE78XRXiBZIWThs8lEfKuwAgYc0S9AGkEhv+BUDikRJiw9CKLCB14mqqwej6Suzr4Doblh4wYnxMdVJMRtFqFb6g3JRDzNQwv9nzBqnc8pI5w0brXefLel9iZCI7SswhLoO8wb6YXmKCxrCOGwEJRQPl5wi8l9ONAl98awjIU2cLUG9adQho4jCVdbF+jIBo2BwaT3jG7vq1Z+0zX+x+qnvwMvbvghk1spwkuPExU9XZG0NpZqBMOrwNCX2qvrMRDGOHFChPchZ7SFIMBTs1CDSNdZ0EDquGtQUTMXYg9sYF4O0WSECHOCdkzPLgIQSzq/vAy2b99BfMWGu56G6jn8VvQaocrAEq4MF+EYa1asMaSc0rgwrI1gsFwEJ2KZ1Yv/8QKsW98Na9d1E51/YPu3tD8nqmYugMY29gMs5sVFl5cXwHEyZyUnphbqMeqYCKpz6UMsLkOEdScXPxz7y05h5fYD04Hcld/6Z6GFx6hy+YTUE9+1NTUBKIU4pBbWnr17A1AKcTAVFgawFAmpgSGKM2fTLevk8UvWnxFZ1Io1jRvmzSdwdB3npVr9GBw4OrFUwBpa3Hnj1Cnv5lWkahZUXbMAKmpugorauUzLxgvSfhbVNMmchgZ47dVfcis0bcc4BKMYGkSvwWQijsMdxO7gfz5wQLuhBw4e9FU4K3f/473Ugootkn/0wkDI2KCfoae9e/fBovYHPaWFHMVv5QXpa5DLpgkY9GJOw+zU9z179nGx8HDJX0Gx94HkoEAyrS9tIF8z2h5Wt8g9NecWKnBhWASFjI9+4Bj+2i/G+uynPp8ePWnJHZMdA5Q7pXHDbVo/dJ6wXrYtpmHx7ZPTzv5G+yVBGNHlrVjTuOHqN2gXiZ6EwoobHaPTswBfaagppIiMes8TIidPEqHhYminJerjYyMwuvNTnqqBAQ6MeAB2jL7Z5ii4sAjJgMoj1yQ0bf4r2400QEsMhTkW/0/qAma7vmE0mB+IsAnJgNp9GiaENo12xT5qnRdhkYIPRJj6VHYEetQd2z7FJTyvz/ISC+PiyHtwdu8/EZ8fdk2hRaiwFP4I7U4iYcSTgQGS704kK0qzJEIJSyKUsBiA+/o/95h9tH78/cHWyozf3dI44dkalC04Bk/MQaMq2/tTn82/f2b1e7D7wIjtMXMaN5RmSYQSlkQoYUmEEpZEKGFJhGdhGZG6FABf+t5fNEvPatXh91f3n4SnNiXTLEG3NC5c7TsqmjLhhVAx1Bs7ySSEnYSbEMvCgqHeWGq/Yy7xBivb+9E3fpWHkHX5DAZUWT/UG1vldA9EB4ds1YWYlaDslh0kRAuLKjOZ4yzxQGRwSKUpPhHZz1LC8kmghaW0MR2RwvISRF0Jy4QnYdXWRTfiH69CmSAWFgZMrq2L7qqtiy4XUK6cQG0N2lh0ROFMvS4fIrEIbdY8v51MxJu85BdkqDTL4Yaf0G+WWzq6+Wu6Mg3YLE5v1H8PFSxD2Nk+zfrrcrHPm9ahL0JnUiZZIV1TTPMKqwAAHCsc4LCjbB+ObFCGegiNwPJlTXEoBObaZoVoTXEo2jC3BeBhm6dq1ENESEu+TetL3QdzE1ZY4rmbkXpExNXACNmrcFMyEXftDwadfLEGh2XfLQEIhYUm71vCSsQBSULY4YK3VUbAfTtIO8UsRiE0Fi26H1av/KbjDgoYBW3V6m9rYfBYML/zVZhcXs3kWgJZ3dMVybBche1FsqV3MzQ3z6NKQxO73Y5oyzKItjzqOX2uwV0SzEWgEZanjX0xTB0GzfeD1xCrrV/5HRSXyh26ziwwmn4WtaC2v/Yr34JCMLAkCp2WvT9a5DvvXNPRPZKafiISFoazoy0zCqph9myCM8lAodMKbPQUeTCuADO1o3tE6x+SahbVfsEYgZqloAxQYBjClYb4nueZl8MKbhDzhVtLM35f2FyqHbusNHP+FH/vvLOMNAtt/42swqLdXxhvJs9Q4bSxduN7/L+G3fi3ZVO0DWLuaCrJEErbvBLt2HPLpqT9buz+M3/2JLi8nLwlyoiDoferjPju1O0Ujz2zrDy+oovKSnxjbaO2Q13VzNu0GO5XXHMbM8NjsklAM6oKHYPtm/Gy+09H98jyYpZb29YI2hsEd/ihNenHzn4IHxx4Rfuzbs8kSad5YSHLPYi3vLyZ1aWy4sU6dOJ3L94trNx+YDpFwnM3OitoxLBCFqtR2vkskQ9GUGAmrJbmZulvRtBhJqya2vzaeCwXMBNWbU3+vZZEw0xYuI+Igi/shJVnW/rlAhW0RCKkFdaGHzLry/vCy76OJGnsKCqfWrECNx5gUfCRkRFovVXMJp1tC+9jdi2cUa6ovclT2p1/Og8FBQWw+bejMHw6XSi7D47BmXMAz249Y5tm276zcPwU8QR8Qpsp1peDtnodvDUjYrt2fCgarmv0dY2KmrnaoO6Vc9pk8dHoI/FuoprOxxFxllupO5SJ6vzGz6yDqmtu41YeQfRlbbNog4fw3juYtq2a2OJWekFpkBoYm2guSvvkk4KvP3RTo+Hv29ZzKUsuIN36ltrtGD2SWOK1nZLQZ9ARmh0TEjSBs9B1DDWMhcGB+x3fdTf9FoBXt66G4Y8uEpwZfAoAptAI66SXKGcoMD9GB24k7dU79/3RmfC3+HlPaQPIh6Tu00ziCdII7YH2LzAZwgrRtk7ZTXfgtJIE579aWi65UycHj8L27Ts8ed66URj5Oyht/jHTa+YIon7WSQ6r7oUyadYKKJ7hfcv3gODez9LX4EotKOT8oXXaBp6y46hZelSYv0pfQxOSt1+umhUqQSHnBp5gfk0vW7J/bn6ZYxo38mo+a3z0febX9LIl+3c7LrlTO6Wxw01Y/BzWc4TsVqGjsPTAVqERWBj6W66vQS8Cwy3ceVJQdiX11cPSMc463IQC00fRs85NlDa/BIWR+tT3s/uXwcUTf/RfSixo9GFty3cDNBYuHOvLmi5MG1MTjQ2SCMzuppTOnVgbRXpj7bA+AAYlTWuy7igeth3Eia1Bp1ciDudkuyl4Y71iJ6hLedc75h3Grd6pTHerwEoa13C1sEjbJxRMYcWNad/DCPUO4Ciw+s7jh411rjwp/PiNxFc3XrlhRlin2IuVWFSlwrqbESaswooYwVnpFF3hyysudAgTVj7c+FOn+QaQC7RmycBjz12aLD2YHLMt8fdfOZ323Zxm3yFytwNP+2fVdx5v9WJgjO68DcbHPiQ6t6j6HiiZs5K6bCGmj9oa9EPZgt/k+w33hVryIxFKWBKhhCURSlgS4cnAGBpJ5Ov9yilKsyRCCUsilLAkQglLIpSwJEIJiwHPPXYVPNhamXGh+Q0R7ZgdTmnc8DSQW9ne72kgN4wM/OB6qK0qMe5LWg2Hei/NNJiP9f1LA1xXN+GlG31oAIY/Igpckn21vsIdQ1CgaxIJhqBA+3wZ8R1WwpIIJSyJUMKSCCUsiVDCkgglLIlQwpIIJSyJUMKSCE/CGuqN7crXG5ZDtirN8kny2LnUBXYfIAuMYk7zTuK067kGQ72x9X6E5W0pY8ho+uqfNCE9tSmZUbEvfe8v2jHrAC+meXX/SS0N4SCuhqdRd4PK9v4w7b0fZBZg0+P3Nbg63PcoECQMG8GXZsGEduEmj/7idiscGeqNedpU2pah3hgGw92mbjdzhs2CAlb9rKHeGO6+enUgqhgOOoZ6YxlbDvt+DVqpbO/HTDA+9+J8vdMeQet6+VBvzHHvYObCCgr6FvNUO5dT0Ee7OYEivwjlAIYehJSXUiG36hFpFQpbwjoyuFBAHqrFUjgSVsUS8dDfqm8joVBkEFbFahOUj2q1FLaETrH0fUZFIcLkVEiIkKhNtXXRJQ5hkFckE3HW2zFKrVi1dVGcbNpoMzv4NtYtmYifZJ2ngj1ch9tdFMoKPjRLkom447wARZ5UGyoz4AZG5cYXDMl+fUrBJICLYlEolB24F/Jy2gdHH0jYlSM/kA49fDoV+lzbRo8bySkFCzBMFcunQlkZ1luxrTb5oBItx+NeduEVAL4cNiYT8Qzvcg4vAKVgAYSJYjFWKIU3lIIFCF+KpRQqkCgFCwCeFEsplBQoBcsh1PNYtXXR5UqppKBR78spcoCXCWLfQ8sKYRxWtzo3UCuWPtJVgeslQ3IPwgpOASjPkBzhd/ACzcJ1kt+DsKH6VgHA93C7Pi8zEND5pLzimk9+rfeqTyx9N9/vgwcOm8zmgZ6uiO+XErMJYllGCmtqaqC2pgZaWuZp3+c0NEB5eXnq+J69e7X/ycGjMJgcTH0PMpGqWTDvSy8HvpySMqx7x6zv6YoQ91lZe17k0q0ojZbmZli06D5YdP99TK974OBBeHFDD2zfvgNOnTpFkIIvjZ9ZB1XX3JbzcuQROLawsKcr4jqIx8tXULQjrNbqrHt2Ddx55x0is4XBo0dh1epva4ommvmdr8Lk8mrh+SpSdPR0RWx9RJkrlt5qHfboWErN2mfXMG+VvIJK1tn5CPz5wAEh+TXc9TRUzxG1plPhwmd7uiJpPq08FOsw74EMbJ22vLwZGmbP5pmNLx7/+pOwZcvPuOejTMHAsK2nK5Ka3mDdx9rKe1n8lt7N0Nw8j2cWzBgZGYFFDzzIvQVTJmFg6OvpimgLbVmOCnKd08LBiJd7f8Lr8lzZseN1WPrwI9yyKCu/Ej7Z+Vog6uqFhc2l0DavJC3lW/Ex+Nf/PuN4Nbs0h45egO/+zDkevpc0HtjU0xVZ4jvmBcaYqK2LDvBUqlUrvymtUiE4oHLgnbfThvVZMnrqA3hjbSMc+eNLMHaWbHOGIGF92JEbosVwbU2RYynt0syaXsQ8jQcWd3SPNKViXuiDDtiMYcyFq/S/JlGDEE4EaXDCD5FIBPb+/k1ovvkWbsP07+1ao/1lo6JmrnZGRe1cKC6NQEXtTdpcmIIZS4r1qLF/DeI9fXxFVyiUygCVa/trv4KWm2/JaTlODO5P+28QbVkG0ZZHc1ew8NBUqC9vDxzoEbFiOUlsFbmomT5da4WDSHzPC/muEMwIbFxBbK3CCrbC6FqlCC+BVCzs5Iv2oBDNA4vCY+IqMgmkYqEZGHZw+kARXgKpWIbnuUIhK4FULFyyoVDITCAVC9dBhZ3kYPjrmM8EUrFwcSF6ioeZLVt+Hur65TuBHW7fsCG8EdbwpSHDyuRcc/qsvPtjo2IFMujIixt+qK3WDSO4ZiuIoDNvLnjm56fhjEWJNrw+CkeOXXQszcqffGSb5t3BC0zTeEXzbtf3ZNqVa79AKzifhf516AoUFlY//R3tpRE0Ztz4RahvfTI09znH9BEvG9F3SpymO+ZOMznrcl/UGBblWre+G9au6+aaR3HpFIhUXas510aumAVl5dUwuXw6lE2tVmu2xEGuWNngvXIYnVeDvGI4Gw+0f4Frvyq2aIPmra4IBH0sBy+aeNborrvv0cwo2cB+4pzrm7gqVX3rE0qpAgbrpfloLu7kXUUZlueLWpZfNXMBNLax3sZZ4RN2pqCByMCdQVwEKUqhQF+wGHtgA/d8FNSwVyzIQVxBdGhdu3aNttYpV4gYmLBStuDXUFAcnhHTEMGlxRJiDjqB65xErDzGSV5UJBEhzpwoqroVSpqCuWgyz2GrWLmIgEsCLkPBcNMtLc3UI4ual8SevbBn777AhJU2U1A8BUrmvgCFkfrgFErBRrFy3UopAIqq74GSOSvVnQgG/hUrqK1UvlLa/JJqvXKPd8WqrYtiON1fhOt+hAPV98o53hRLD9CZ8616FO7I1Hp9bn4ZfO7mUu3zGwPnYOPrzlFwDW6/oQSW3D5Z+7bv0Hn4/ivZI9p6SeMBesWqrYuuQudiHqVRsAUHNsoW/Cbwd3XnMx+H6ZWZTkBzvzYEp07bP5+i0njEk0vTRn2XO0XAKZrxoBQisnvYkdm1xba/i0zjFeorJhNxdLadJsvWqPmIGiHMPZ6dcJOJ+MZkIl6Au9qF6H5IDSrU5Dv+oJQqAPhuA1HB0Dzk1YJNmrUCinWTZnxsBMYSP4UL7/8Sxkc/YJ0Vc/BBnxT9MhRMnliZe/FEP5w/tBYujvwv06xUCxU8mBmXLBWssOJGbbjY6geH3yfNfFj7Mxg/8wGMvf/LnCsbPtxFVa1QdIXzlF5hRQxKm3+sfR47shnOH/K385FSqODCvNfmVcE015ymNdrDRwO2BoayYYs2uvNTQm92cTRd0YnTzXhQ+8Myn3/nabhwrI84rVKo4MN+OESHVMGKZ3weJs16nEme2KLh9caO/JTJ9UjwolRmsMzGZC6aiucGnoDxsQ9tz1UKJQ/cFMvApGBXFZZfu6pgyszFBWXVUFx9b6rvwRKtxROkWGiysi67Me+Epu3Fkfcmfo/UQ1H1vUzzUvCFu2IZ4DB9fedxVLLFPPNx6+OwhtZspapH9b3AdANPhVACG7DTD6xbEieKPi4mH4V8hFSx+LUkuchHIR+hVCwRLQl6kCvYcHTIPuItOsk64SXNu8kx298POvzuBy4xL5yo7zwubEHk6JttXOe1Suc+r1oshsybNUnzPC+/rBBef+ssvPHWuawXxzSfmDUJai4v8pQGlfC/do/yqA6fYDJOiFQsMCaPj2xOja75BUcxiypiaoROkY0+YaOCuUCbPGY0R6ZQ0BDKPpZCkWuUYikUHFCKpVBwQGgfa+zC2SnjIO8ufQoFCQVQMEWoYg2f/pu9d6lCES4+VKagQsEBpVgKBQeUYikUHFCKpVBwQCmWQsGBULs0KeTg0zdNgx99fWZaWf/lZx/AM1vedyy/XZp//5//g29sSjJN4xXVYilyjvVhR568/0qY3+C8W6Vdmkc+fQXzNF5RiqVQcEAplkLBAaVYCgUHlGIpFBxQiqVQcEAplkLBAaVYCgUHlGIpFBxQiqVQcEC0Yh1WQlTkAQNCFWuoN4aKRb4RlEIhJxtzYQouUQ+LwsxTNk6w6By7+8CI43366vOZxg+PNB7oHuqNDQiNhGtQ2d4vNCKuQiGIvqHeGD7buRm8GOqN7QKAG5S0FSGi21AqEL0pgh2V7f1bAaBNPWEKSRkGgFY0/8zFz7liwYRyTQMAbMUac14YhYKcjqHe2Ea7swOhWGYq2/uXA8AqAJganFIpFClwVHuJPsLtSOAUy4w+yLGE977FCoULCXzRO7VMTgRasdyobO9vAoBpwS2hQjb0QTX/AMD/A4M7c+fDdEG1AAAAAElFTkSuQmCC",o="data:image/png;base64,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",C="data:image/png;base64,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",c="data:image/png;base64,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",u="data:image/png;base64,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",F="data:image/png;base64,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",p="data:image/png;base64,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",B="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALcAAAC3CAYAAAEnaf8JAAAACXBIWXMAAC4jAAAuIwF4pT92AAASJklEQVR4nO2dPYwd1RXHj20SPgLYsNMtBKfgBVfYIgKJFKwlp7UNFYUllvAqFBJTEJAobBdIAQpwSFKNYq9EQQU2bSx5tyASKMimMp4GO0DFc7ANAYKBjc7L3Jf7Zu/c73vn3pnzk1bCy9s7Z/7zf3fu99m0vr4OPKPx5DDYc7kqi1fZX88KH40n6w6FbqAqi03Twn0XzNgcotBZ4aPxZFX3w1VZTH+0CzeJZDSezC7irfD3X1uYFWhyAa3C73vqEnzx9brxBZSFswJuuXHT7N98obILtBaOUvBR6gSgXThG+vahbcqCZRJtKJzX9Z47r1MWLruAMPLmg5Mh++yGwk29LHIRY9PdT3yG39CHXKLHh492VUbevAMZLABRwdLC2QVEvmYuUgWg/BI1nwFzkY5NWzVvYvIM+MjP6nzQ1EXAXnM5vokuhnpBX6nKYttc02I0nmwHgGXbEquymGuWMM0vA8BWx2j5i0wrf6a5t4KBkxh9HsQpYOoWE49rF85/O4O0W2wuIC28rSmhewEjWaDRtLBqt9i8Q7UL14mKIZNornCbOhskF5grfN+Ry8YX0G5anPv4u7kL6NL2eeHXf8ed18HJQ9uM5ZFG3rwDGfiCVt2htOK69aZN8I8/Lgi/RNaRM65+tQ6/+O0lq16FMvK2O9BF6+vfvANdQr4srgRrt+B7dDNwL1SfBQM/sMATqgXmwLQdxP893+Dy2nQJxZziCSqs4jYcbFkKUbLpwIwhn2v3h2yDZ7i+dJp4C1wWZIgb8Ko49v7ZWBIEvgG9YRoBoiD4oJuBNrFt1jkH7uuR296AduC8ejji1DZuY0pzKMdLO4sHC+Qt4bOq48vWrUZbA8e2Myuk6WefVVtb2aobUNYqrPHPF64ThA2mY2ZSsGOBBbLOhe83IpaN3xnTGzeux/kn4GIZ7EXtVfS0ZBiP9TWfgC331N8hW6zrcbwB4DpfDNnbkq9GXb/g3l75ujeQZFsFNG7AF8E6Erb9d12y7AHNJsoZOdyAqpe/HwDe6iIwEaIhDmHgjNF4grMg2+OHOuVEVRatM2Gi1SAXAOCuGJHpolQ8cY/PDQrNXvkZfDG31oNWU6aBZ1QdYvBT1YMu7QnE51AvG8pt+G1KMMVDDsFhNR0kcH4tRKDgwwSOPZsP6/Y6BAreW+DYGsQfRujgvQWOTVj8iRW8d6vECt5b4HyHIUbwToE3V1LFDN56MpJdGIPZazGXzrDs2q1ZK85Gn1wGdcBBeevAcXzE9xi5CUHXIalw8bzxMiSfwbt8YY0G9m0uoMI2eKsF676xCV65qOzFX98SLHiXel657OvhB68PFrzqJbVDsuhca+W0KHhftAWP4+/nuJvQDrzr4GVBg8mKbwgQvKxto0KrVokV/OLCFu2/M2pkhVzGgV9ElT04zBpZPoM9/eLtc/82CHqKcSPLR/D45BYXNs92CNlg1Tr0pfyBl65Y/631dCE0PP/W3/8Dz/71i9m/ZZNY+N+Gnt6AU9dNVtuw9aGM5ivcJWjw0Vl2Cd4FL7183eCfO/alt8C9rtyVed4z9p1lEbHaNhBiJKsZvKxp6kKQ0VoWPHratfZoYT96PLnpQRXTxelVWXQ1AesEs8oHuQS8YS4/pwUIwH85619e7CwqBc1p8Rz2SDxelcXx5i+lqyeajMYTLOCxgEHmyEpVFtp7bVXLVXDj7aGBCmnL0aosDrb9bdtXM4sdQamjszwIT6j53dCF8sxclZPdPrdcmTuyoD5XiMQOyGg8mS6fZO3CINvzQhF4z2Io7oV6QCWblkibyKHmLwOwgg4PsnM2BCjsh4Jhjowcvz27lak4g5iz8EG3WNvCi4YD0zhA3QauBms7pS3BqmYtKcGbO7R5eiJ8WoIzeix8moIzeij8WpgpGQV8Hc0WtfLovPj4eWrb63chfPRWSnOJhOtmZRe6aNVEdzjbXM2qixReaDEdH9ThsgU/Pldt+yKG44MIzgJnh5e4rLQKSRcdqCh1eMrCx+65BlviIaoufB/X45NYwlsLjksIRYv3eXwfLRSD0MJbdXxEF9VZ36bbGoj5LYjcgbLraTbPmuLxsbCwi2rHVHjVZo0W3Lr2oYTvsp5XCb9YbIFPJ9/bFu+2ElV2NBYu5lTV8V3Dtp7y4JABxt22EcZB7CleWim5Cs86XzLhfRNktNC1qnng5z/yfqMi3j1/be63/OikZR2tIuzwbJvwuTUVPRJ2eJZVNTLHx4Rvafg87NWEKF17X+dOuoD1Md+sY73eULs02uhkxqe50Y1n5dTX8MIb/7b62/fOX4MDL8t39rEXYaA6WkW3U2wy8VQvV9nfdlVdaJDGnOaAhPe7Bc8W7NlhHc/v7GSo2vGyv8V6+pFf3pDCLc5Ictbeh+Nx99+b73wTMEor0l4m4SJ8oqRRpbThUtWkCgq+YWtbasiEb3bPE2c1y/O5sarZs+v6FOtoKbMMXwDws0RjFIKOz01sANgNrGtflcWF3ETPjN1VWUzzs4uOQ8/yBOZU0dqzDiS8M22JGJV77evseadTvKkEebgqixOysIwON2DUDwHzXuzMbcuhB/Cwk9U6dcWqaXFWgsP/Rc9mB5xHVm2EBhOxa3FP0G7lOXDgfVlVhTB06m7ckH8sQKB94+mqLF6V3ZPqjBRqnRgiSw3ddj4KvvzOpHML2bFLlPtpw8ggCe2FM3X1O0fzIBo8hO6jXO8wQeYc3nQ2Ce2XuRqCT2R2Ie/7ShNR8rVtuR2+mRFb6+p55mxydVjmjlWiXmFYpvpuFjVRUie1tSM6jMaTg+hsaRczNXDG/Q+P35zdzDsAvLI5pyoEBcZlDhDhkPQQZHNuFS80IzfBsxH7hTfEyRRyEjwbsZspOHhyETyr4+9yFzy7swZzFjxJsXGzUjObLE+ugicnNtsVhj99EzwpsVEgfkdY3wRPRmzc2N9sR0PPBE9GbNzU37bPsi+CJ1WNnKsTuorog+DJvSD7LHiSTb++Ct6J2DgeLTuUBXoquNcElzqg0DgezWgeP/T6M1vh/ghnl3SxBTCqs5tCg0X+bV904fCoYp/7p/gEhecfvVn4+9DEFjyu2IJ6uOsdvTEFj/6C5AVPZet0LME7OZkeBVedyxcbNlQQ8uEHczY6RXakUEpCM7LLtA3c5Cwe5BX7DCddTp39VvjJkIJ7F7s5C56q4Ngyit3x8So2HqQoGiZNVfDYPU2vYuNxFXjajQgUvIvOi4qYgnuvRvAUhTbBXXLbhCSW4EFekDLBn9p7U4hLOhND8GBNvzbB7yi2hLqkM6EFtxYbhzhVRyiLBF9cSHupSkjBre6cnwW3ETwFln91Y2sUoQQ3Flu0mjRHwfFAxtgTEMZi79n1Y+HvcxTcZcanTQcZxmLjeaiiY/BBU3DZ6cNdYCO47bmwVnW2i+AdHMGsxERwlwN4rZsGLoKniK7gLicdO7XDhii4C86N3lwFF+UnAw3BXfDSw8hR8L+d+dZ6XYot3rpzOQquWgh0+sXbvV7Pa9+5T4Ljfex+9l9erxVkRZQsZ7sqsRBOMsQY9/7k0g9zucf4fDyh8isEW37WJnjKJ7+j4K//fmuwRBbBhuDaqpSUR/2wSgmZMSTonYsEv9pSp8eApdvtaj40uM2agret9wsNn9SiqwnoKN9pWSslBqLsIV0IHq0CZYLHyhvJg7kTRODLMCZR31YoeBd1tmgsvYv0WdF3HoAkfbeOALLU36rFmmwxfld5yjoRGxzzpbsIjjMsp86I1/mFprNG794jl1tH3lRde9nf4otQ9uLrSmjoemteKMFTXVvYeXduSIIn0XcOKXhKizmTGagIJXhKOxySGhXyLXhqeeKTG4LzJXiKCfk7a2ercGmHp0qyg8suDk+VpNfv9k3w5M/165PgWRyi2BfBszmxsk3wnF6WWR0P2hQ8t1YJin00gTi0YYJn2PxbyTJNeI7wKcKJCDCxd5PYQZnqO0vkRlVJOFiOSL4aua1n95gKM11nYldlgetmHx+yKgF4utZ1yoZMp6Px5DgAPJb/fXbOSlUWc9mtNrRG6g+sDEaSMGwQGmQJk+vU36ezvNVuebgtNbhOKvALlCtSi4tVWWyXfdAkyT0+rX2xIs+ItaoslnTC1RabB9PtAcB+AHio91JuZA0ATqgS2ouwEtuEuu7HB7NzoA+HmGetzvy62vZu84VXc9eJUw/TO5Ww4GKdC/Y43xd0wcnco/EEa2Psd95LT5PwDJp9uSqLVdtijc1dZ8ZfJUMTEfkAm7ZVWVwwuaRJb3JnbWpKjk90xRUAOFiVxXGd6+uMS5GpiRTZVZXFWVlcUnOPxpOz1PwgEgabK0ttHVChuWnqhsgM4ZTZhong0XhymIxNZMZbtW/nmKu56w8coidLZMrc6hJ+2SX+8hg9VSJznmZT9WxrAq4++YieKtETpiMprM1tvCiFMAPTseC+zi4T8Q+I/9Xcdz/xGdXaARHlWoLED2XuCbvw6I8Ny7sJd9pMzcD/hz9k8mDs31wvRSU8gkcGyYzNg5+j5koQltDcYTLmDBg8/ADPkG07U0UEmdw/dLZAIPC8RzJ5t5C5A0Mm7w4ytwF41DGazebIYzJ5fHAocJX2NspBM7/+zNa5c2XRoAdevmJ93LSoTB1odEWbNTK3AtWQHpk8WcjcbahM3YRMnhxk7jZY6tS2HLttkMmTgcytgkyeLWRuXcjk2UHmNoVMng3DMzfmql3ec4OT0YBMngPDMTdLwMzjarS2cnX49NIP8NrbX8Gnk++trntLPaFk+uUakMn7b24d86lMjjXl/R3k/A/JAEy+1uvp9/dfW9CqVfEVj8nJ304sm3BIhjCt32tz3/fUJdh35DJ88bW62YE1Ga79SCl7cwz6bPLeL5w69/F3UpOjqTHp3NDHhvto8sGsCmyanEwtpk8mNxtPSojFYovVSAMzOSGnD3s8szM3v6AJa+ADL12ZGpYIQ84mz6ZZws794Ffq4RjvyUPbpqMiOwwnNYYMjq8PYdNE8uYWmboJmdycIewMSt7c756/pv1ZMrk5fTZ58uZ+851vpqMazx37UvtvmMmHNCnjSh9Nnk2b28bkbOYRp+AJPfpk8uzGuW1MvrhAm/xN6YPJO3nq2FTAJoOLACYmf6Bni55ikrPJo5sbbxabCthk8CGATU0+dIZy7ko0c8uG9MjkcXlsz43Wne2cTB7c3M8/+hPlODWDTB4P12W+riZHX4QmymYF2y1ZPqZ8caTkkQevn25GsKWPmxWaxNr+FnHJRNydOF2a3IUhmJsRyuQdrAPqZptZbiYfkrkZvkyOqzc7WtzW7R7KXEw+RHMzfGyi7ohu91Cqdsm0Qcf6xiPn/aVJTN2RyeOCS15Ntc7R5EnNS5PJ42GrdU4mT3LRBZk8HrZaY0dxcWFL0veW9IoiMnk8dLXG/4efwc+mvr0vqxOnbEdXnvzzVTh15ttgcfWRptYZ7lfN8zg1U5O/d/6a0wzlkGE7mjLchJ3ncWq2zZUh4pKBjWmd6+kCWW80ZCZX1eQm+zD7QnMaHPshQzsKoxe7aHVNPgRkC5jY3tKhmLxX+6/amis7fjqMnfB/+c2ts40gMoZySkAvNxc2TX7rQGryJ/90VXsd+xBq78FkVsBJhzsMNwr7aKtjM8G0dvzk0g/WGRcYbYfuD6jdPaycOF3lk7G9rs+0JgM8V3GY2cxyMzkd+GnFsFP1kcl7DeWhBDJ5XyFz85DJewWZW0RuJqeFYULI3DJSNzmOaeM5LYQQMrcOqZmcTK0FmduErk1+/NQ3ZGp9yNw2dGVywoh+p8cOxRDyyfQBMrcDZPK0IXN7gEyeJmju1aGL4Atbkw9xp1AEVrFDuQQAp3t/qx2g6njSkF5Qdm9aX1/Hw9rPAsC9Pb7RTmmanEwdnItVWWxnVcoyAJzp8c12CmuuENE4CKxDWZUF1txHSXuiB6xUZXECb2PaLGGMxhOa0CFyZq0qiyUW/9xQYP0/1ujxEhkyZ2wQjXPXHzhCT5fIiKNNY0OzWcIzGk92UieTyIDdVVkI52pazc0YjSfHMS8nPWUiMbDjuCwLSWluBpmcSISTVVns1wlF29yM0XiCY4iv0JMmInOkKovDJpc0NjdjNJ5sAwCszffRUyYCcRInGKuysJoBszZ3k9F4gu0f/GbdRU+asOQieqgqi+M+BPRm7iaj8WQ7AGDbaIlqd0IAzqfgTOKJqiwueBcIAP4LyFZ4Hf5bEqQAAAAASUVORK5CYII=",E="data:image/png;base64,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",Y="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAK4AAAC9CAYAAAFdSXZNAAAACXBIWXMAAC4jAAAuIwF4pT92AAAYUElEQVR4nO2dbWxb13mAj2lZtiM7kQJmcZwwlBiaSZmNkdEfczYMkbGmW7EClgsvwNYVkRBixX4MtdttHTCgs7b9WjFH+TEMLQjEQupuS9JNAjoU/bS0H/0IsFViJ2JlaFoEY29OiFiKrHi1Y2s4zHulq8t7zz3f91zyPICiiLz33OOXL895zznvB9rc3KT6eeTRkelHHh3ZfOTRkTGa63fh/wSRSmeC30QINRv1XUHvBTYc1qiLtWajPkjVsLvRoF6l0pkVhFAa/pxpNuoTxIZpGnVdi3t63e/aRNBNYY3CNat+HSI2TEtQB3Y0nEpn5kUfFNTjZ2Q13P7wcsVWh2pUS8lQGTv43L+UyBVbY7J66eIpLAoVDYtrhbkNlyu1TfxDe32QVixUS8mxsIYK+Wxbc/y0ijhsliu1RfwJhzXsNO5W0T5Sj0BjrqcOP4iGBg+6HxhyG0HGIIb2yOVuFPPY8MNb15QrtTEQxYj7mrAet3n6134DvXXlytbfP7i4sPX/p84NXkQfflNX3PcQZez06nc+8fGO1/c/+wZChK9+2IdHpRV+EPXYudGngTXSfYhGxt5GSb10EypjtD23zaIPZwyqQUuZXeEr41Q6c5bGriBd4zf9b03ppF6FmQl+PXYanSH9U93v+fXcO0uvuG6c8F5Majysx+mwG4JIpTPDpIZ5mIF7Lstu+Lzfi325YmsUIfRT5BpYWHDf48wkeGBKOI3KBD+gi6d/ZQ0z2xVHXngn0NLktSvw/X0s5ioBPENfZrErnJ7t+BvsiiXXS5e9HQyzK0g8RbqGqsepdGbH3//2re+0f586h4funaZVaMP4g8E9uvC1Vzre+7DBNkvVUnLU7/5o7IoAHBttknQR1fSPXL2XaleQSKUzRBvaC8/sJNRhr3UgyJlmoz6tpMOpdAY3/LmAtxvNRn044D2a+6klT2tq+l3UsVdDS9CnRNPp0A77dVZUD11tY3vkec/LQ+7tIC/EYcKnsw1ZnUXbNueQ52Xi9yOww6l0pmOEDdNTHvykmUpnuCQs3ZgjcNzz1n1BlyozrVTRnpz9dlx4bG9e/J7l1yes73h/8GxEwuLheuxUIp46LBOv7UhrhdGCJcy9xe+sncqV2ij83XFmU67UznuvF+mws68baoF57X/RB+Oxt5DPbgkrYFRwM1MtJSeE7GFvpx984P72j5s7d++i5f+u73gtSE1cnV6rlpIdnxbisYeDJOtdU/rcF/TWUCGfXc0VW1vmJ2lxLGWUODCwP/SaoH/Qv/xk3ymQbGhnkcgSyS3pjY0b6LlTnyJenzh4BO09diHo7blqKTlO81xpOuy3Z+/GWcQDk4V81ndvLgwpEuakrbvaOuzq+Gwhnx13/R04ccB4PVzIZ2d5nyfcYS8wUWwZ+oV8VuoZqdQOp9IZvOTBP/gcG59ozTcbdWnWoFBnOfYnJpuNOtcXDfF2VsImCvPGCeLc7ZGmN6yrbqaZTWZHedpj2ZYiXUjc6Ai7X8eWFGak2aivBLzH1Jas7ah5P5cakV0e3g7T6KzUjpLuh1EmENZ9M2mbfAHt8O2ZBdAQ7aSHEZaLSRt8HTan7A0+vy8nadQgSfZfpfWKzEu0F7KoAdNHRkuzUT8tvbOs46kKYrXdZDurikCHUi+STux9oX1+guZCE1DqoKIC21lV2M6qwnZWFapPdhZk7ndJlWy5UvPua0mL3UAikoXjpvaaybW9+ZeE61fhxHymkM9yeZVwddbdURSyyezz3vP4oISnwwlKA2XJ87eoZ5PXdeVo2A24n5Fs2YedkwUJUGQ0WPB+gfyOlWjiOmgRGQ1CO0p63Uuu2ApdODJJNuijf+IIeTsBd9gtYXc7LpV4EX57fW62kDLO9u8Rm1vcC4BqKRl4mh/5dOvpKHFkkjbdet2E3Sz/bLHjtS+9egBV3tp+PM0QKmXoCjsaRSGeULSL0ajVYIhl1SxFDUYyGXS5Xide8/rnt48ceH1suNQAn9sihE7wPNCBp8O8aiDUUV64OusjlaOuICIvDd5Aug5oA/b9fpaW3zzrfn1p+c35peU3N90/nvdnRZ4n9VQcx4kihNohncJS9EGFz8HWdGm0v4EI4FE9Lbhuw5GqZ3lO3FUQiXAhpPEyxaWymJLpVEKLNuGm0hnhuU8ioY4HMlAq3FQ60zEAG8ZSs1H3DaEzVrgB8TgsLMDYGeppDf4KZ0lRVzTIDO9xkO1AN85xuB4assbZl7OkfcMAfFMU8SJNuIxeW0q/jl44PvSjzUa9c5HOiIyQVBZnRSFvShkwKMECbVqPIERdVWknLK2aGgbY1DSBf0LDBLdwGWxVLWYPD5RazD0niOyEhQoWz8CmChZtWwhh+YfS4OnODJdw3ZlsCHgjjY2E8mv/sjbhuhIgBjFnssZ6obFxIYMBE8zCBfsxrLNUkVYxg3mRwqO53Sg4FJafhQce4VKnWYkZ0p2JYxeLHic6zvlyxZZvRIuDzpwQOqH5d1F4/B53OwI4iTVkJi3qZS7mii3kpJJ1hgUrWLk8kyu2ZuOWYSVOnLATmkKscBVihasQK1yFWOEqRHqIhmxcAQh+jBTy2chjYIMwWnPB8SwwF6Jmrx1mItNcV2TKWiGfDdqw5rbBy5Wak8KLO+RGFOpwXhZITszecB8PM5BwfjZEY/04gxBaJZwaEIUM5WxkegfNbB1QShTwiLcciIOE5FwyCBynJcrAP3WgOyMeI5PVUpLok1Cu1CZ4z6MkQRqCnH//IOztsn5zcIzbWLWU3DreisSFlEWDvaV+HG7d/gDVV66gW7dv0zZ1tJDPUnvRwJ7LDnco1kwHRppiuUwK7du3l3gNDsZ64sj2OSlFHB6ryeb1MzvDeL8+zQWzaozkHLd7dwI9+XhwjFUYG+/fRJdWrpCumsPe6+7Uq36IFoBzUCpc1gmMNrCSxErzf9B76xsst2zluQ06NOBNfGLMIoIm2ysNw6mHuO4DbfUKdkkko4wxY+6NjZtS2mHRWgjbvIhQq+M9GWl6VAu3IyicRP6Xn0Lr6+tCD/zbr/5gxz/r7fcS6J33Eujicn/7dxgycx8ZY4rh8j9fv9BZAogHxhNq7Ig37LZPZRGVcH2P72mCnMPY/cAzqH/0y35XLcGyelqFIP3QLtyQLUT01a/8A5qbZc9ZODAwgF59PfQ+rtzWvGgVriF7C8fD7FxZaDXFZFet4GBSl2BRlLG/NOVCKDX9pDc7vE+mAu78/CIYE1jtByTLIsaSGfBtCMToY55CPht2ErEQ8n6kGKu5EIY15qpL75hujkDx2LnYbNS5C0aoxqR8CzzhpF7wrtdpE7Iio6iFm0pnTruycclGOAJSlKiSWYhGtbPQXt5GEV2kVbhhBVMVIzUinQYtwpVcbleUl1jS34ugXLiahwBqVCSv8KI6DQtxk8YAmOvXsKBsEQER4SYLFnOZN2iaBlU5bkQbpa7GBYuNacHgQyVJNqQLV0Cwwrm/IAfEIuc35qTs1Z7sBEI8jUnXGrBOeFySpI7BMhMILTJ+NZWvoHjymsm0IqQIFyYFFgc7KdmPaGG0WqQtNmRZC9SChdQs2gSLtrOBeDPtB3EfTU4JGoSFC1pBhQ7DPQjIDhWU3deL6O5cGyHhwuxM9XWLUrCuPkzQajBlHh8ioppLG/BhTDIh0OCwjEwIsjIJjb3cwoXEZzRMmpZMiGHCEtJeEc2lzSgXaXpBAoGlMlwILd+VHlDq3j9lAdLHhg4PsKvHBW/SNpoHGn0yC9CkEeTeLuUtkx56kwnWAQ2US3aufJSqhgWa2dgUaMZeruz9PBnxaPY/IwkH5YEmdTfv0MCjuaGCM9lRIwDZ1crb8AhXanFDQ1CSREnFmBsHK2EHNLY4bF8yoUK4pi4aRDFCuNqcizXDnFpbunBNcYJTQPTCtVjhasEKVyFWuArZsXGTK7Z4ChftQGbsrE4k5Ldp57Vxv7Clublia1VUsD3O8/gDgpwN28IFwZruNBcXtvyQcXLiUStYuYCytjW3W1dUUdJW1oTVWjXgsdeaYuoYtcJViBWuQqxwFWKFqxArXIVY4SrEClchVrgKscJViBWuQqxwFWJ0hZNypUaqid4o5LNcZbp1YbrmkkIDwgo7R44dFhQSa+FCknljiUy45UptEedqhMIcvARWz4a2I02aFolwsWBdEe4vw99+14TRkempXKmNu4UalYBx/d8+8KrWNjl4BOvwFAjhJLhqUqfHgvsa4PF+1s85G18TRULNPvjHaKkrFiBYN7x+E+mwvAqaBdwOA0hABSjacHlu8Nc16iL4IUPEpKznVEvJtv2dgD9GJQmYFEBNGyscCVARSzjEy+3OlXC9iP/xI5yRLQ3cKCmLPUUuXB0cJT2jWkpiV6Qpzn6c8frJ6U4IH2XaQaZyiT6OeVPVUpJJQbTuLeAyAuVK7STtxIXr9aRTD6HdiU6LsfXuKrr6v51lXwJYk1CHktkzSbud603eTrgOZdIP+woWk7x/sH3N0OC9NM1xhZe6wXYr6z3ahRu2ZMU10VhKd6UO/1K72l8ITFlHc8WWlHCvKFZoRHuUp9gcLqOINZkAqz+cN9aXy5LSNuaCxhK/nk8c4d+ePXwo2R6HCc/fhFKH86RalLliy29sDtzDIKHMWgjZ6PZFtJLf9dV11Lx6jeWWjg13WSUSkeJhgenTxponil+V1RB27Kk4TsseaPIx+GLMfm7ImKkcmMQ6xmYeK8HBnkRsC7YjYYVoZJLRB5Q6yBVbQTt1whs5xmjunbt3tT5vudmHTp1rD0V+gp0JK21OgzGae+3td9H1d99Gv/2JT3Ldf+zYr6LX/vkfQ6/DhT7//tv3kC7pCNbjRaUpxrRJs7FxAz136lNCz0ylj6A//ouv7Hht+a0+9F/NPlyClqYJvLMlvFR20L0rFljhREZxT8ReOdXNkOzCn7rLJJ5WlQnJ4e71/2C9ZSpsL5qXKMZcbWd2IUzKmLRIaBduIZ9dKVdqHa/j0rIbG0wF6H1JDH006K0FqPmrLedZFHV/A2v1iI67J8ZPoj/87B/5vhfF0bruCY24mSNiMfz+pz+DPv0HnyFdot0rsteKKp8p5LPSTK0wtFkLUGY2alSVZPRFpynWc6kHtAkXynDT1mlQ1Qetk5ruRcQEQcAN+MePcHi+TMG9gTtZXW8tOPiYY1NejxyaUuDIR2h+expRlQyPspD9aTgKGsfOIgHXhHWu40Nx3TsPh5GRTaSmF7IP69xxGMuNJNbHPCYLFtkzNLWYfoaG/X2DNlqMt5uNHnNNAHKVj4Hz9qjC+JElKLTUnoh1F+SLG1Zxt6uPTYBlaGrU6xLk2p/t4szl1PSc4kJhx7OgpHFPtNgAZZ42rZyfarpecV2Kyl3ULEasgQN01ytyVypuKp0Zh5Go11PXYvNiohvt5a5RXKusoXSVEsdaccEMmI06Dj6GzIESx9aciKXiQnXRlw3oStzBNvFYHEfhWCkuVMg2ZZG1APuu+Ad/8Hj0Wg1SAlftymH4GYXfpswWkwbXw+8gFoobocLOgSkyq2taBfNnHPaVo1DqWCiw0Yqr2STAe6JnTfzQUunMIGSKOK1p8Wm8CWGk4sJJ1rziD2kN9jtNcBZmAhR5WsMstAQKbNwizjjFVWwWrMGoqs1dXzWgxGdZcl5ycMY0mRmjuGDbLSoaZWO//UMDzFTnFdnGS81G3ZgskUYorkJbdiqOpoAoik2JoybYvpErriLTwLipLSoUyTfynYdIFTeVzsz75RQXYK7ZqHNlq+tmYARelOyyGelsFpniSlba2J4A6USBSRaZ8kaiuJKnLzvKMqBg9I3EbNCuuKl0hiqAlxJry3KSSmfwieAJSc0dbzbqWuPUtCouuB7yloPxol1Y3YbkQWRI53aj7jBfWVOKVVoJgH3KW7zFi1ZzQZviptKZaUmHC5NWaeUByisjy9AJmFG1oMVUgFMxGVkwZ5qNupQMwZadpNKZFQkLtkazUdeSXlDXiMtUAyeANau0SpExWqZ1jbq6FFeGA4gM5bcEAHvgMkwGLZ+TclMBPP+JxbgowKNttFVkegCJJp3yHQYdI66MivJ2r1YDkCFnQcKTZHzmROKiuHYXQR8yZK3c/VGH4gr7I9jtL63IkHVXjLgWi3Ss4lpiiVVcSyyximuJJVTp3nPF1jAY3MOuHyr2/fo3lFaUtMil/1f++p7EvXmxzyyx91Cu2GJZ5DnX4kOQeZpqn76KC4p6XsaOwK57UqJNWDSy+9BvvS/Jyfxxhmt36Fmu2HL+9yUceu+nyH2eG3Qk4rBYaMGuAp/LFVvtxCRuBd6ycXPF1iwULbVKazENnCfieq7Y2vKDaCturtg6LzGMw2JRxYu5YqvtIZgA86AX6iNYuoN2lHJCkh+mxaKNXLE1ZvdxLbHEKq4llljFtcQSq7iWWGIV1xJLrOJaYolVXEsssYpriSVWcS2xxCquJZZYxbXEEqoICAuZcqWGHZVoM+2sFPLZFStSMaziClCu1LgyHJYrNfxrppDP2iR+nFhTgZNypTYsGOJivfIEsIrLj6ji3Veu1JRnfOlWrOLyI2PEtIrLSU/ZuOVKbRCCQf1q3eLcsKcL+WxoaDS0I6NG2zgUkA4FTJPZoL73mr2868gL78jKiaqMaim5S6TtEIX1sgYKfN6nDaxoE5KrYSIokn2+kM/O+vSdpTKOsALj6AIJ+YxVslYtJQfbiZ1zxda04rLxIrQ7ynM/o8J2E9wKDDGIPzVYFierpeRs28atlpKnJZYNkg1zGSKssOVKDWdFud6DSot5vlypbZYrNWbZVUtJLLclNd0S5jhWWuRNpZ8rtkwboWaqpSTzyME4vXY7xwv5LHPO21yxtWiQHixUS8kdC9nAGhC5YivKD78jcwkLcJJlM/KAHGkWnH6A2TArueo6LXitMeGMsF6oi5dAPrFhSJMuu5AI/navwDQlDZgqezVnxKR3gSkKLNyGKSqw/xwh9E8Mj1uBn0XawSqysv+60DX6HhjYjwbu2Y/69+xB/f07dxlv/t8v0K1bH6CN92+2/18xQqNsGJS7DlPVUpJqm4+Xrt/HLeSzeBTHi7V5WdtY+/ftRYcPJduKSkPQdddX19HVa++gO3fuyugWZqqQzypVGMp9Z+V1fXvpAELIvNm9O4EeSz+M9u3bK61DQ4MH2z8IlLh59Zpok0prweWKrXGKL/9ctZRU7v3W9aYCErR1VSgsCQkKLN22Rds7TisUJteIVVxB4ABiltdEuPfgABpOPaS933fu3kVvXmqiW7dv8zYh/Qg4V2zRuHCeqZaSWoopxlZx4ex+wpXaf1TmAuzBB+5v/0RJvXEF3di4KbMHDWf1Dr/Phy3iGEZabCJ0V9l/2ag+YIhqpPVj+ed1mYs3PwIPKBj8FjoOCFRj3Rp9OBTxSOsmqlEfTs6MVFpkFbcTvBjTtRCj4d6DB7Q+D2enzxVbm5THvVNRKC2yMWed7DdIaTH9e9R/RGDHspRTWIMjeaknnSxYxfUgeTEkDD5tU8U3/3MveuXf938Tn5EwPOIl8CaMFKu4PmBlcZ92vfba6+jV17+Bfvzjnyh75sGDB9HTTx9DxRcm0dPHjm29LvOL9PZ7CfTqD/eh+Uq/+2VapeXy1FNFXHcV8Df+RVXtY3+DO7c30O8+93tofX1d1WOI5D/yEXThwivo6rV3me/FCrrc7Gv/vHFpD3r/F0IBJEYprEOsDyBgL9ftseb8FvJJOPd3X0bf/9535XVUgP4nv4R2H/6k7sdiG3a8Wkoy+/Hqohe8wyYo3PC2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",v="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKEAAAC7CAYAAAF6G87dAAAACXBIWXMAAC4jAAAuIwF4pT92AAAXlklEQVR4nO2dfWxdZRnA3951XZdQ3MzVhFHYB+EaVpBNJ5b4AdOAJGI2EqegJmyhS/Qvtur8c6z4p4lsf4nuIluiQSzELrI4NLqVKasG5xophmsYq5CZuIZRakLXdq15Ts9b3nvuOe/n836ce88vKXT3nvue5z59zvu8X8/zkIWFBamfmx+5dEr22jb4TxaVvonMN2vVclvWew2N8hqSvUHUqE5DvBu03fzIpZ2EkKexGiWErG8nhOzMevf939+R+cmV9/w1662dJZ0GRe+nNipqUHRdQ6ML7/9n6fe3xs9HPyxprwkbnf7TtqXfb1i7Yalx9v/09SxpM3Wa1TDboLSkGECjp3jtJCUU6RPaK9Wq5QPsK+0bdmc2mNbwii0/rmuxVi2fak/eZvlNu8nc+cN1jbAkXyut/mTDNak65TwtUtfRRodVG854f4CwXZ+op5p943CkGh60C2S//mreB2QbrGu0Vi2/y/2UAnV/KJ6LkJWSpP314wsmJdsbTRPEjePLaHyIEALd19FatZzpKVQbvZsQ8m6tWj6n3SAjWRqZ0tY1qOuiWb2i+nrq59EGDkBDN8eS5Rl5HUtqgzK+va39GtK59Y8N72n7oYW5/6W+3tAgKx24hRdPHF/692uvjta5irRvwtUhsPGWW6JGb+juJl1dXULJ6yRkRx2E8TPQKG1M5M/rG5y+2HDB1NTU0u+v/fOfahImPR3ojP2a9OtLN5iE/Zrs1+fR8KTM/fsZMvv6E8KvBqzo/TkpdVXqJUx2mO03PiTVWPThRGPQVuZggB2+JOm4/YeZjx+1w3FCyFr2DXCn1KWCvyZiF3uUqAwCRDQMAHRdavKzxn5a1kdrNZbaIHPhAKetXVk3lnWjC1kSaTUouNkeQgjv0YJvc8TkHtJCVvomLiTt3xAYd21SFrLSN7GKEHIZURAtrK8/2BAYem+YJ96l24jM5F924pXBgNDvJ7ky8k0yP/Uvpc+wX2TZmi+Tjp7HlD4vLaSOcGlcvXicvH/xOFn2kbtIx6YfSn1GaowHmkgK2LNxYzQ8G3z2Ge5nz7x8Orru2muvrXv96qVh6XUioU1mNZRcw4AB1pfu+/IH/06MlwhnRCewWXWbTN6QCgvjK/h9fn6elEql1Gt14Qo5f/lvysKyApoKR+HaZNriTpLk1IElOc0wEfKAxHWZwrF2R4fXrAapGegKC0tzMHLmLvplGfVbb7/dIBxL8rWxsdeU2meRdouy3YUKEgJGgxDlATmGsLJukg40jFZRZs7tizplETqusGFlhiWEERH2giE246gLkNhgLGhaE9bKRAxDYNVJs9FssdI3IbtLuVXkNHgYT2lZKn0TB+MlaS1XmwbGnJvbgMkCC9G0Re3pro6wsk/0dkLIr3WE4rDZdHdCtFyCSebSS9JP87ZMXFG3NRPySsVkrVpeBTNCsIPbAxAojUPo20XYaE9XgZmxgWi1gUf7jQ+S5R/r176HlganT28jC9P/kbjyA0qrP0FWbHlSWUDl7TGYEqgKR6J5+Vmt6YSSgBjzFdU2pAXEnPmptCW9OoaNbJtCAbPWdGROTImuW5ibSn1dScArr3yn4bU7e3vrBOAJR0muLwLTJ79oLmAaZ0ZGMgXJeu29997TuRVfQFg6zqLntvqtE1agpHC8pbvZ13+kLyBvXRs0kiakinAk2l/+pb6AItKEVBFOBuMDf1lCOlmRlWXsH40jd5kuyImAst2MLkYCpj0QvKc7DRjlcN/nvclbiMx6WrOe7ixEQzAtDe7Y8dVU4ShpQrLeR4WSaH0QVk6TDA4+lylclpBJ70MSB28zGIYRtXClwMZohkisZUfncmQOkhruHRu1KW2DcIwJi86tf5BuiQq4S3hhV4V0fvaYsYggXFu7+GAdRDUQ3YNNujapYip0JYydFzcc5xLdSFZQDRs+Sn9BOSpL4qnB1XfORr8v+/AnpHZWs2DXEZMrC3DWSm27KAYEMhGK4QH2H8HtQKEehcNG+midKLTAlXCEc/YPvMte61J9wNasNzI9Sa1aPsg+7hbZxdvoEa7yV/omYEjyd0vyrRaNBVTOJaI+3bIPo/RgAXFvOXWfOAutrTCM4AyrAlJkBTXpW1F2O9P277A6fNTtWFMk96DhOdhZq5aHQpHbixLjve9HLTQ9gLmfLos1JVb6JtYRQoYC2Q2EKdWeWrV8wUbjGIcXsIPVXYLSNagMHGD7/uHAlGCTQ7VqeY9M+2lzqFZTlioN/S5alFcrUhfZVihQD6o346gfLCBW9OrFF6TiYWBLo33N/WTZmvt9i02MIkB0gQ34K3DiJSPeWgY4XDJz+SwhY4/XXd3WeR3p/Jz5ArEqTpR49b/DZGZ0n/X7wGkfdk04LbrZBlaVOH3yC0YWZ8qVkW9FLdi2UCtKtLW9pgu10KwcEKag5jIC5xCaAlngqYhiJSUC6VRAs0Tfj64KcDAM8xFHUaKK9aUddkgGoMqSFqhKJA/4wCMOf3iMx9v4cQZBZMk6iKEaGZkWcakDPDkQJWeKkRJh6KLyCMNhEd75NZEyZZSneswMwgxlDo/yMJqxmDgROGiadpSNhT7mWY8ti+kZPYPzMO5nLBQ40gRfnKdMapk8sA44mqCtRKxhgowy0whBeRQrOS91AGWyObl4yOTrcom2EpFO2USoelvTPAfYeLVEGeWZeHNXgBK1s05B5JgOskMV+KF9pk1lQsY4A4aMozBVhjnd3d3kzJ9f4l4jchgyDkjV6Zgc983M9WdLAF6MT1oalaw2RJapAsZ5aapEXto8IbKCUAV87evfICMjfyFPHDwkrbystuAH2oH27vzM55XaQlBgdAwQdbcvLys5pa6byYreXxi3k3Y8e69pLD+siMA8VCZO0BeI4Q6b6S9oR8iTzE/VlpbnQ0AhOkEGOF25LlWJ2Iqk+FrttrUdkJoSM4nNzXydBAEq6CYTkEUpD5SrUxGQKBtSQsBesiqQrBLSRLStvM6FqJkna4NJphU6vKPJ3MG2zyCWgJgU6UE4Y4kbONSEypEBwlZWia5TOinbSo+3ylOoNHeOG35A4tI8s95Z2r4mPFGrnYy+1Q++E9ncdzzQQjBCSbAvC+bIw0oci+PEhCoYZQPNwnpEVVzM6qTVm/BZbysIiOI8LK3SN3FAN5ZfEuNqJaoEESBp4OmlA3ZsElSUaZLY88O63bmQokqTBKvE2Dltj/85FGcoCI5gFBgPj45IZPWVKt/oCq8KRAjjPRZHh6LVIlXFh0eGx/IgctktYDRWptGMQxUnCvQwFXSW0sBmlH1IMxRr40Ts+gV5WMFBHUOa5myR9ZyhYuzRdeo/bIqVFmo6fF20kmmo1Kew4TlDRdqj8/aT876IigXXowdZjTRgJpM7eksbT3EWpEJ5fD4EO5jx0xlBjw6HuqocMtGKN7XAQnnqRKvuwWQUySkDwVcQCh1vwY0scCJ2MaeNXAwJxL603/iQs+NwPLxZIARGQqC16QF3SB8AhzF9KdO5AmffOEzmzh+20nZHz37nmZacKRAsLq0SkQ0g7b4ri3TSB7qORZn+0za0uBIRVqNBIfYkKgrnIZAHEqwt3tssD4MIawqERBghBO6ADODlbWFFgZBiz0UCNFkgaMiWEtEVCILOJNLlhQAo0cbjjKrAKGdhQCFiSWx0KagKDDlYkYIdtoamQF69xNAQ1V1UAUWBEOYlk5c1FER1IVVAUSAMXGU58/LppWKY8JNW31SWno0b69oafPYZeZkVErbxMFagSrYk+ILd119f9xokptBRIijvxG9fqHutt/fTpH+vXG0GGNxjeGXjubBp7kIKJKaQLWabpjwW2TwMGIkgg0kxJWuJIuWpgBHzbKRA1cSJg889z31fpEQZ5fV/7/tKMsFCrglmiR8vDStd3//dfcIEZVlKlFEe/IHY6qUyzL5utp/m/BGOkjgqKlFWefAHco22Ak1yFaooMWTlERMFzl0068hllehCeSb9oLYCZXfQeMgokQeW5cHapS7ehzG6SsR8bBcM1gqDGAeqKhG7zzPZcghmIA1KPP/mm8Lrjh37jTeHkUYwCgRvu2H9euF127Z9xWgBApsgFKg6PdNdgLCBdwXqzm0xlQi5urQ/6+OmFNOFASwlmqSN1lbgso+aHSmUnWHozp1VgLL7umgrEI6X6aIyPdOZO6vixQJ10ZnbulCiLkYKhAyTKkB+at25rawSVYHchSYYKXB5j1oiDlFyb9EMQ0aJsGmlwvJb9ytdn2C4FMeIaWHqSFhkp2ciJSY3rUQYJrcdMsrTDyxbo17MKonq3JanRJU5NZxoNeSIcY5+orAzl5Zf32RhAAobQJEDFpeZ0VHy8xMFK6Tp4J/62dNLqeBNFgbAEpNp6mVBsL4IFAskAZamFIGQGX20Vi1vohZonE8VDnbnBaS08lE580iBGDkE4FQ8hkOxDdajS+OHUWciHT2PKQ+uXQILINhxJKwCRzEahNz3ISoxCnvASy+/1OWxCtyefq06oSkRO2aE7fJKzIuoWR9BiSC4b6Bfthlwk+wDUbObg+DLP7YXs0m1+2/5cdQvI7OLbc5JPRLieJxoqw4JSckKnBYrN24jPwyMvVwEHFoONDyafMF5MRdiIXITLA66C9sRmmk5qbOiNa1YIQWW0OlsAA726JzRA6VBEReH8cEN1kdCqISTBELFwEIXZuuPW5RWXkfauiqk1FXxIVZmRnRevPCwj2weJY9K4pBZCLEoIySBdgkhWkqxxeEe2BGmv6v0TUCG3A+1qA6Ha9Xy3bwLZPMHtuSjLFNKQ3Y5a7PENc3GapnvI6XAOJNj6jioSdklm9xbtfpXK/SHwn6PRScJbTP3hw0ZKkVopUFuViXq1F/S2hNpxhKTut9Je1OpmZRo8l2MduWaQInCQqUijLc1YwEmTdvxwKiqw0gDZV84FiQ/RxMIGYBjGRgNYVdz8F1TTgbUunO2qh2GOOCuq+6PhZVD5vEj7W8/s5GtNpRHHJWKvOCxCoTStEwHVzWVwCIvOHysrTyuaTit6uVAkc4UR/FWV67SN4GZgt5bsT7vlQ3jajlHNKwS9q63u64jlySo2poSVXSc1YuTJeTipOA9qQcd8m1pWQRdIjcU4m6G/sh0NeNxzdAjof7hQ6Iwwpi42Oz2uOewVWtwMjbOU3HP5K0wbUi0nBHG9Rl3xgYXUrnB0XhQN4R9aj10mtYINVxoqDS9a8+1ETpyoaEySd163l17LowwYBcaKrly7cEYYbz8eneTuNBQGWd6zlOhyOjcCBkXur2olBoMXl27NSMsXGjTYN21Gxlh4UJbGuraT5luX8mG4axierXChRaIOBb3nFJp73gBxbo74gUFSUbjDf/Udc60zB5geA8XaiywxK5kD7lkhPFE4u+F5gscALPxdXQWHp2mjs9PFQZY4AoY4l2Ol+tIKf6Fd4CvoMAW0YI5JOoxzrfazEDmJTI3Ra6+czb6lgvTF6MC1llESYbau0jb8mui39s611jPAZZj1sIEGIwQJU4vr0Adv6uXTpH5d86iVNidv3xW6jpICAp52yDfWoDZsVyyiZeyrKmAIuLz/x0ms28cRjE2U+an/hX9JMvsQ4JnqDGEWV8jdJraCCEr5BwYnUHNSNdATzrD9KZQQL7j1v1GBaNCp6mMEHq72VcfVy57HjLQa7O5ats37CbLb9rdNN+PNIsRzr7+owa31qzMnT8c/XjI4WuN3BohzFpnXvl2rlwtJvC9Z8YeJ2Ts8WiS07HlSdMaZ97InRFevfjCovILloAJzvTJL0a9Ixhj3mbbuTHCwvjEQO94ZeRbuTPG4I2w1d2uDtQY8+KmvZe85zFzbl+kzMIA9aBuGtZGQyZII4TeD4o6NdNSi09gNj19elu0hBUiwRkhPLXQ+xXgAuuN0CtCBaLQCGpMCO7XVu+3Y8dXyX333hMV7wbeevttMjj4PDkzMmLlfqHKBgvfUIMRtgZDoe3mRy5hZgg0UM63pTf/Zenu7ia/O3GcdHXxB+ZQMn/H1x6KiqO7omfjRjL4q2ekZIMi69gEtPMyEIQ7tmWAZ/78kvCPDGy85RYy9o9z5MUTx5d6I1uA8b326ig58dsXpGU78/JpdGlgnBjKhMW7EcKWG7YBAvd96V7lz9g0RlXjY+m+/npyZ28vqjwkNkRYf/WNVyOEs3y29nx/Nfic9mcxjdHE+Cjgkm2NXWEDgHdI1wVejXBmdJ+1tmF813PbpugPqIuJMWIYHzD43PNWxoQsM2OZFV6d4M0IwQ3bBgwR/oAujRHT+G5Yu4H0f9feg0qB4RB4JV94MUJYNHV59MqFMebR+Fjmzv/U6f1YvBjh3Lifs382jPGOOz6Va+OjROEGnhayvRih71V7TGN8fvDZXBsfC40odI0nI/TzZZNgGaMOIRkfpWV6whD3Ll0aY4jGR/HVOQR9lMs1No0xZOPzTWGEKYAx9vfvI1P/wznHCAZ9YOAHyFI2D4URJqhbarnmGpQ2Xe5N5xHnRgi5WUIEa52PR+jGCIH2PnBvhCuviwJxQsGF8SUJ1Rh9BUZ5ccelAPKsYBnfu5OT2p8NzRh95b8BI3ReL63dY9YA7O212z6+2etBCUw8ZXO4AEbovCYaJPeBcESX2Nzb9XFQApv2Gx90ej+GC3C8H+qQnHR9Z1i0ZhP92EL2GL0IMD7ZNT4wILgnGJUJLsMOVt7zV+v3SKNWLbeVfNU4W0wQafec3FOHf+LlYAF2z9i/91HtNmTo6NlvtX0O0fkxOjHxcpiso+cxa8sCcBz+3nvv0f48xg4HljHu3fOoNfcMHYHHzF5RB1hi/+GDFVue9HXrVGxsr2EYow2XHCXg7HkMvV0F6oxQqvyTDWDdsPOzx9BbhpgMMChZXOzt6hpj//e+jy4LrNV2fg5f7wqM06FgZIRx9UZv57ttGSIYFPzBR0b+knnNUz972vnBAtYYZWQbNAjaSgN6wM6tf0RtU4Oljo+t6AS17H7tUyo49n8lyplSJECyBSRmD2QItLquohNZ7A2H4kJ43oAUZvCEgqIK8IGsC4EY4CG2sHdy2+6Ae3kaAUV5XDZoOmD8t6L35yElXK+zs7Qqn9AjbnMtVRZXRr4ZBeEU6AFLMJ5nwEn21qrlg+xraUYIte7e9ChkA0W2VnUCzdIKM+J1yRdTi25X+iag3t0TriSTpTBGMYGnCN6cVnibV/k9KLfMUhhjIznIT93ghimZRkgWDfHduDZtkDRjBSdVclLh6VitWt6e9abICIMbH2YBvePs2EBLTGKWfeQusvzW/XkpnpM6DmThGiFZNEQvR71MgFRnkGkqlCB7DOC8X/tNu/NYtWk1uyaYhtAIyaIh7sxzdXhIBAkVP/PUS8KCPbjZnFf3XB9vCXORMkLSBIbIAj0lFNoG4wzBMKMax1B8+6N35bY+XQpSBkhUjJA0mSFmASe+ITHQwlQtGmdiFOiGmWtbVyWKZlsMbWj6Su/SBkhUjZDkdIxY4AwIPVwnGgMmUTZCkrNZc4EzhLPgLLTijuOudjXcuPgbF8TrgFoGSHR7QpaQd1YKnJC5EyKLsRGSQA7EFjgHxn+bVCYgWaAYIVk0xFVx4MrthT00PUdr1fJOrC+JZoSUVljGaWGg97s77SSMCehGSKn0TZwresWmArX3Y7FmhGTREDfFLjrYkzgFQkbj3s9aziKrRkgpXHQuseJ603BihJRK3wTEmj7s7IYFuuyqVcvOEiI4NUJKYYzB4tT4KF6MkFLpm4DQv6BCwVoQcLt7fBgfxasRUooxoxecjflEBGGElPhgxFCxtGMVSPqz0+ZsV5WgjJAl1LDTnDIZG95QiOIHa4SUeDvwSHFIQouBWrUcRGoXHsEbIUvsrsEg/degCJdDkOslJHcrIldGyBIb5MGih4wYAF3kyfBYcmuESeIx5IEW2SIcj8d43tI8Y9I0RsgSjyP3xD/NYJSTcU8X/PhOh6Y0wiSMUcJ65NqwpEtlNDY6bwvILmkJI0wjHlNSw/TZW47HY9sjeR3TmdKyRphFHKqw3cLe9mS8EH8whF2KkCiMUILYnVPjFM3GqbENhbo4HBSEkP8DVgRWktvovb8AAAAASUVORK5CYII=",I="data:image/png;base64,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",V="data:image/png;base64,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",R="data:image/png;base64,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",b="data:image/png;base64,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",U="data:image/png;base64,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",W="data:image/png;base64,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",m="data:image/png;base64,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",N="data:image/png;base64,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",Q="data:image/png;base64,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",x="data:image/png;base64,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",O="data:image/png;base64,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",M="data:image/png;base64,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",G="data:image/png;base64,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",j="data:image/png;base64,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",Z="data:image/png;base64,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\ No newline at end of file diff --git a/assets/js/8abcec24.65440ce3.js b/assets/js/8abcec24.65440ce3.js deleted file mode 100644 index 6eb6dd16..00000000 --- a/assets/js/8abcec24.65440ce3.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[2969],{89352:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>d,contentTitle:()=>s,default:()=>c,frontMatter:()=>i,metadata:()=>r,toc:()=>l});var o=t(74848),a=t(28453);const i={title:"Frequently Asked Questions (FAQ) - Jan"},s="Frequently Asked Questions (FAQ)",r={id:"about/faq",title:"Frequently Asked Questions (FAQ) - Jan",description:"What is Jan?",source:"@site/docs/about/faq.md",sourceDirName:"about",slug:"/about/faq",permalink:"/about/faq",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/about/faq.md",tags:[],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1711818688,formattedLastUpdatedAt:"Mar 30, 2024",frontMatter:{title:"Frequently Asked Questions (FAQ) - Jan"},sidebar:"aboutSidebar",previous:{title:"Acknowledgements",permalink:"/acknowledgements"}},d={},l=[{value:"What is Jan?",id:"what-is-jan",level:2},{value:"How do I use Jan?",id:"how-do-i-use-jan",level:2},{value:"Is Jan compatible with my operating system?",id:"is-jan-compatible-with-my-operating-system",level:2},{value:"Do you use my data?",id:"do-you-use-my-data",level:2},{value:"Do you sell my data?",id:"do-you-sell-my-data",level:2},{value:"How does Jan ensure my data remains private?",id:"how-does-jan-ensure-my-data-remains-private",level:2},{value:"What does "Jan" stand for?",id:"what-does-jan-stand-for",level:2},{value:"Can I use Jan without an internet connection?",id:"can-i-use-jan-without-an-internet-connection",level:2},{value:"Are there any costs associated with using Jan?",id:"are-there-any-costs-associated-with-using-jan",level:2},{value:"What types of AI models can I download or import with Jan?",id:"what-types-of-ai-models-can-i-download-or-import-with-jan",level:2},{value:"How do I customize Jan using the programmable API?",id:"how-do-i-customize-jan-using-the-programmable-api",level:2},{value:"How can I contribute to Jan's development or suggest features?",id:"how-can-i-contribute-to-jans-development-or-suggest-features",level:2},{value:"How can I get involved with the Jan community?",id:"how-can-i-get-involved-with-the-jan-community",level:2},{value:"How do I troubleshoot issues with installing or using Jan?",id:"how-do-i-troubleshoot-issues-with-installing-or-using-jan",level:2},{value:"Can I self-host?",id:"can-i-self-host",level:2},{value:"Are you hiring?",id:"are-you-hiring",level:2}];function u(e){const n={a:"a",admonition:"admonition",code:"code",h1:"h1",h2:"h2",p:"p",...(0,a.R)(),...e.components};return(0,o.jsxs)(o.Fragment,{children:[(0,o.jsx)(n.h1,{id:"frequently-asked-questions-faq",children:"Frequently Asked Questions (FAQ)"}),"\n",(0,o.jsx)(n.h2,{id:"what-is-jan",children:"What is Jan?"}),"\n",(0,o.jsx)(n.p,{children:"Jan runs and trains models (LLMs) on your laptop or desktop computers."}),"\n",(0,o.jsx)(n.h2,{id:"how-do-i-use-jan",children:"How do I use Jan?"}),"\n",(0,o.jsx)(n.p,{children:"Download Jan Desktop on your computer, download a compatible LLM, or connect to a remote AI with the API key, and just start chatting. 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No need to ask for permission, we're fully open source!"]}),"\n",(0,o.jsx)(n.h2,{id:"how-can-i-get-involved-with-the-jan-community",children:"How can I get involved with the Jan community?"}),"\n",(0,o.jsxs)(n.p,{children:["Joining ",(0,o.jsx)(n.a,{href:"https://discord.gg/qSwXFx6Krr",children:"Jan's Discord server"})," is a great way to get involved with the community."]}),"\n",(0,o.jsx)(n.h2,{id:"how-do-i-troubleshoot-issues-with-installing-or-using-jan",children:"How do I troubleshoot issues with installing or using Jan?"}),"\n",(0,o.jsx)(n.p,{children:"For troubleshooting, you should reach out on Discord and check GitHub for assistance and support from the community and the development team."}),"\n",(0,o.jsx)(n.h2,{id:"can-i-self-host",children:"Can I self-host?"}),"\n",(0,o.jsx)(n.p,{children:"Yes! We love the self-hosted movement. 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If you are interested in applying, please see our careers page ",(0,o.jsx)(n.a,{href:"https://janai.bamboohr.com/careers",children:"here"}),"."]})]})}function c(e={}){const{wrapper:n}={...(0,a.R)(),...e.components};return n?(0,o.jsx)(n,{...e,children:(0,o.jsx)(u,{...e})}):u(e)}},28453:(e,n,t)=>{t.d(n,{R:()=>s,x:()=>r});var o=t(96540);const a={},i=o.createContext(a);function s(e){const n=o.useContext(i);return o.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function r(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(a):e.components||a:s(e.components),o.createElement(i.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/8abcec24.9b2f77be.js b/assets/js/8abcec24.9b2f77be.js new file mode 100644 index 00000000..4a6fbb62 --- /dev/null +++ b/assets/js/8abcec24.9b2f77be.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[2969],{89352:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>d,contentTitle:()=>s,default:()=>c,frontMatter:()=>i,metadata:()=>r,toc:()=>l});var o=t(74848),a=t(28453);const i={title:"Frequently Asked Questions (FAQ) - Jan"},s="Frequently Asked Questions (FAQ)",r={id:"about/faq",title:"Frequently Asked Questions (FAQ) - Jan",description:"What is Jan?",source:"@site/docs/about/faq.md",sourceDirName:"about",slug:"/about/faq",permalink:"/about/faq",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/about/faq.md",tags:[],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1712027706,formattedLastUpdatedAt:"Apr 2, 2024",frontMatter:{title:"Frequently Asked Questions (FAQ) - Jan"},sidebar:"aboutSidebar",previous:{title:"Acknowledgements",permalink:"/acknowledgements"}},d={},l=[{value:"What is Jan?",id:"what-is-jan",level:2},{value:"How do I use Jan?",id:"how-do-i-use-jan",level:2},{value:"Is Jan compatible with my operating system?",id:"is-jan-compatible-with-my-operating-system",level:2},{value:"Do you use my data?",id:"do-you-use-my-data",level:2},{value:"Do you sell my data?",id:"do-you-sell-my-data",level:2},{value:"How does Jan ensure my data remains private?",id:"how-does-jan-ensure-my-data-remains-private",level:2},{value:"What does "Jan" stand for?",id:"what-does-jan-stand-for",level:2},{value:"Can I use Jan without an internet connection?",id:"can-i-use-jan-without-an-internet-connection",level:2},{value:"Are there any costs associated with using Jan?",id:"are-there-any-costs-associated-with-using-jan",level:2},{value:"What types of AI models can I download or import with Jan?",id:"what-types-of-ai-models-can-i-download-or-import-with-jan",level:2},{value:"How do I customize Jan using the programmable API?",id:"how-do-i-customize-jan-using-the-programmable-api",level:2},{value:"How can I contribute to Jan's development or suggest features?",id:"how-can-i-contribute-to-jans-development-or-suggest-features",level:2},{value:"How can I get involved with the Jan community?",id:"how-can-i-get-involved-with-the-jan-community",level:2},{value:"How do I troubleshoot issues with installing or using Jan?",id:"how-do-i-troubleshoot-issues-with-installing-or-using-jan",level:2},{value:"Can I self-host?",id:"can-i-self-host",level:2},{value:"Are you hiring?",id:"are-you-hiring",level:2}];function u(e){const n={a:"a",admonition:"admonition",code:"code",h1:"h1",h2:"h2",p:"p",...(0,a.R)(),...e.components};return(0,o.jsxs)(o.Fragment,{children:[(0,o.jsx)(n.h1,{id:"frequently-asked-questions-faq",children:"Frequently Asked Questions (FAQ)"}),"\n",(0,o.jsx)(n.h2,{id:"what-is-jan",children:"What is Jan?"}),"\n",(0,o.jsx)(n.p,{children:"Jan runs and trains models (LLMs) on your laptop or desktop computers."}),"\n",(0,o.jsx)(n.h2,{id:"how-do-i-use-jan",children:"How do I use Jan?"}),"\n",(0,o.jsx)(n.p,{children:"Download Jan Desktop on your computer, download a compatible LLM, or connect to a remote AI with the API key, and just start chatting. 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Your usage data is fully local, private, and never leaves your computer."}),"\n",(0,o.jsx)(n.p,{children:"We also don't track IP or other identifying information."}),"\n",(0,o.jsx)(n.admonition,{type:"caution",children:(0,o.jsx)(n.p,{children:"If you use Jan in remote/api mode, ie. chatting with ChatGPT, they may still collect your info."})}),"\n",(0,o.jsx)(n.h2,{id:"do-you-sell-my-data",children:"Do you sell my data?"}),"\n",(0,o.jsx)(n.p,{children:"No, and we never will."}),"\n",(0,o.jsx)(n.h2,{id:"how-does-jan-ensure-my-data-remains-private",children:"How does Jan ensure my data remains private?"}),"\n",(0,o.jsxs)(n.p,{children:["Jan prioritizes your privacy by running open-source AI models 100% offline on your computer. Conversations, documents, and files stay private. You can find your own user data at ",(0,o.jsx)(n.code,{children:"~/jan"})," on your local filesystem."]}),"\n",(0,o.jsx)(n.h2,{id:"what-does-jan-stand-for",children:'What does "Jan" stand for?'}),"\n",(0,o.jsx)(n.p,{children:'Jan stands for \u201cJust a Name". We are, admittedly, bad at marketing \ud83d\ude02.'}),"\n",(0,o.jsx)(n.h2,{id:"can-i-use-jan-without-an-internet-connection",children:"Can I use Jan without an internet connection?"}),"\n",(0,o.jsx)(n.p,{children:"Yes, Jan defaults to running locally, without an internet connection."}),"\n",(0,o.jsx)(n.h2,{id:"are-there-any-costs-associated-with-using-jan",children:"Are there any costs associated with using Jan?"}),"\n",(0,o.jsx)(n.p,{children:"Jan is free to use. However, if you want to connect to remote APIs, like GPT-4, you will need to put in your own API key."}),"\n",(0,o.jsx)(n.h2,{id:"what-types-of-ai-models-can-i-download-or-import-with-jan",children:"What types of AI models can I download or import with Jan?"}),"\n",(0,o.jsx)(n.p,{children:"You can download popular AI models through Jan's Hub or import any model of your choice directly from HuggingFace."}),"\n",(0,o.jsx)(n.h2,{id:"how-do-i-customize-jan-using-the-programmable-api",children:"How do I customize Jan using the programmable API?"}),"\n",(0,o.jsx)(n.p,{children:"Jan is built like VSCode and Obsidian. It supports 3rd party extensions. In fact, most of the UI level features were built with extensions in a few lines of code."}),"\n",(0,o.jsx)(n.h2,{id:"how-can-i-contribute-to-jans-development-or-suggest-features",children:"How can I contribute to Jan's development or suggest features?"}),"\n",(0,o.jsxs)(n.p,{children:["Contributions can be made through ",(0,o.jsx)(n.a,{href:"https://github.com/janhq/jan",children:"GitHub"})," and ",(0,o.jsx)(n.a,{href:"https://discord.gg/Exe46xPMbK",children:"Discord"}),", where you can also suggest features and make pull requests. No need to ask for permission, we're fully open source!"]}),"\n",(0,o.jsx)(n.h2,{id:"how-can-i-get-involved-with-the-jan-community",children:"How can I get involved with the Jan community?"}),"\n",(0,o.jsxs)(n.p,{children:["Joining ",(0,o.jsx)(n.a,{href:"https://discord.gg/qSwXFx6Krr",children:"Jan's Discord server"})," is a great way to get involved with the community."]}),"\n",(0,o.jsx)(n.h2,{id:"how-do-i-troubleshoot-issues-with-installing-or-using-jan",children:"How do I troubleshoot issues with installing or using Jan?"}),"\n",(0,o.jsx)(n.p,{children:"For troubleshooting, you should reach out on Discord and check GitHub for assistance and support from the community and the development team."}),"\n",(0,o.jsx)(n.h2,{id:"can-i-self-host",children:"Can I self-host?"}),"\n",(0,o.jsx)(n.p,{children:"Yes! We love the self-hosted movement. Jan is available as a Helm chart/ Docker composes which can be run across home servers or even production-level environments."}),"\n",(0,o.jsx)(n.h2,{id:"are-you-hiring",children:"Are you hiring?"}),"\n",(0,o.jsxs)(n.p,{children:["We often hire directly from our community. If you are interested in applying, please see our careers page ",(0,o.jsx)(n.a,{href:"https://janai.bamboohr.com/careers",children:"here"}),"."]})]})}function c(e={}){const{wrapper:n}={...(0,a.R)(),...e.components};return n?(0,o.jsx)(n,{...e,children:(0,o.jsx)(u,{...e})}):u(e)}},28453:(e,n,t)=>{t.d(n,{R:()=>s,x:()=>r});var o=t(96540);const a={},i=o.createContext(a);function s(e){const n=o.useContext(i);return o.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function r(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(a):e.components||a:s(e.components),o.createElement(i.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/8af60830.3a50eac1.js b/assets/js/8af60830.3a50eac1.js new file mode 100644 index 00000000..a16be775 --- /dev/null +++ b/assets/js/8af60830.3a50eac1.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[7719],{60865:(e,n,o)=>{o.r(n),o.d(n,{assets:()=>l,contentTitle:()=>i,default:()=>h,frontMatter:()=>t,metadata:()=>a,toc:()=>d});var s=o(74848),r=o(28453);const t={title:"Jan Desktop",slug:"/desktop",description:"Turn your computer into an AI PC",keywords:["Jan","Customizable Intelligence","LLM","local AI","privacy focus","free and open source","private and offline","conversational AI","no-subscription fee","large language models"]},i="Turn any computer into an AI computer",a={id:"platforms/desktop",title:"Jan Desktop",description:"Turn your computer into an AI PC",source:"@site/docs/platforms/desktop.md",sourceDirName:"platforms",slug:"/desktop",permalink:"/desktop",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/platforms/desktop.md",tags:[],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1712027706,formattedLastUpdatedAt:"Apr 2, 2024",frontMatter:{title:"Jan Desktop",slug:"/desktop",description:"Turn your computer into an AI PC",keywords:["Jan","Customizable Intelligence","LLM","local AI","privacy focus","free and open source","private and offline","conversational AI","no-subscription fee","large language models"]},sidebar:"productSidebar",next:{title:"Jan Home Server",permalink:"/home-server"}},l={},d=[{value:"Designed for Everyone",id:"designed-for-everyone",level:3},{value:"Private & Offline",id:"private--offline",level:3},{value:"Customizable AI",id:"customizable-ai",level:3},{value:"Jan Desktop is",id:"jan-desktop-is",level:2},{value:"For Developers",id:"for-developers",level:3},{value:"For Your Home Server",id:"for-your-home-server",level:3},{value:"For People who Tinker",id:"for-people-who-tinker",level:3}];function c(e){const n={a:"a",admonition:"admonition",code:"code",h1:"h1",h2:"h2",h3:"h3",img:"img",li:"li",p:"p",strong:"strong",ul:"ul",...(0,r.R)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(n.h1,{id:"turn-any-computer-into-an-ai-computer",children:"Turn any computer into an AI computer"}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.img,{alt:"Alt text",src:o(26612).A+"",width:"2390",height:"782"})}),"\n",(0,s.jsx)(n.h3,{id:"designed-for-everyone",children:"Designed for Everyone"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Installs with 1 click."})," Jan is easy to use, beautiful, and the core features are free forever."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Runs on consumer laptops."})," Tested by 250k+ users across ",(0,s.jsx)(n.code,{children:"Windows, Mac, and Linux"}),", Jan even works on ",(0,s.jsx)(n.code,{children:"CPU-only mode"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Automatic GPU acceleration"}),". 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Jan is open source, so you can scruntinize every line in our codebase. So when we say your data is not our product, we mean it. See ",(0,s.jsx)(n.a,{href:"https://github.com/janhq/jan",children:"the code"})," and our ",(0,s.jsx)(n.a,{href:"/how-we-work/analytics",children:"data policy"}),"."]}),"\n"]}),"\n",(0,s.jsx)(n.h3,{id:"customizable-ai",children:"Customizable AI"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Use AI without limitations."})," Take control of censorship levels. Jan is usable from the classroom to the boardroom (and few other rooms if that\u2019s your jam)."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Use any models"}),". Download open source models from HuggingFace or upload your own custom models. 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",(0,s.jsx)(n.a,{href:"/guides/using-models/integrate-with-remote-server",children:"See Docs"})]}),"\n",(0,s.jsxs)(n.li,{children:["Use Jan as a backend only, pointing to a different frontend. ",(0,s.jsx)(n.a,{href:"/guides/using-models/integrate-with-remote-server",children:"See Docs"})]}),"\n",(0,s.jsxs)(n.li,{children:["Run Jan in team-mode on production-grade GPUs. ",(0,s.jsx)(n.a,{href:"/server-suite",children:"See Server Suite"})]}),"\n"]}),"\n",(0,s.jsx)(n.h3,{id:"for-people-who-tinker",children:"For People who Tinker"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsx)(n.li,{children:"Customize the app\u2019s look and feel though Themes."}),"\n",(0,s.jsxs)(n.li,{children:["Customize assistants, models and other features with ",(0,s.jsx)(n.strong,{children:"no code"}),"."]}),"\n",(0,s.jsx)(n.li,{children:"Customize the entire Application through Extensions. 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[link]"]}),"\n"]}),"\n",(0,s.jsx)(n.admonition,{type:"tip",children:(0,s.jsxs)(n.p,{children:["Download Jan Desktop Client ",(0,s.jsx)(n.a,{href:"https://github.com/janhq/jan?tab=readme-ov-file#download",children:"here"}),"."]})}),"\n",(0,s.jsx)(n.h2,{id:"jan-desktop-is",children:"Jan Desktop is"}),"\n",(0,s.jsx)(n.h3,{id:"for-developers",children:"For Developers"}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.strong,{children:"You can easily integrate a locally running LLM into your own projects."})}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["Turn on ",(0,s.jsx)(n.code,{children:"Local API Server"})," mode to start building on an ",(0,s.jsx)(n.code,{children:"OpenAI compatible API"}),"."]}),"\n",(0,s.jsx)(n.li,{children:"Jan Desktop comes with a Developer Console out of the box."}),"\n",(0,s.jsx)(n.li,{children:"The UI makes it easy to see logs, configure models and more."}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.img,{alt:"Alt text",src:o(89962).A+"",width:"2388",height:"1148"})}),"\n",(0,s.jsx)(n.h3,{id:"for-your-home-server",children:"For Your Home Server"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["Use Jan as a UI only, pointing to a different backend. ",(0,s.jsx)(n.a,{href:"/guides/using-models/integrate-with-remote-server",children:"See Docs"})]}),"\n",(0,s.jsxs)(n.li,{children:["Use Jan as a backend only, pointing to a different frontend. ",(0,s.jsx)(n.a,{href:"/guides/using-models/integrate-with-remote-server",children:"See Docs"})]}),"\n",(0,s.jsxs)(n.li,{children:["Run Jan in team-mode on production-grade GPUs. ",(0,s.jsx)(n.a,{href:"/server-suite",children:"See Server Suite"})]}),"\n"]}),"\n",(0,s.jsx)(n.h3,{id:"for-people-who-tinker",children:"For People who Tinker"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsx)(n.li,{children:"Customize the app\u2019s look and feel though Themes."}),"\n",(0,s.jsxs)(n.li,{children:["Customize assistants, models and other features with ",(0,s.jsx)(n.strong,{children:"no code"}),"."]}),"\n",(0,s.jsx)(n.li,{children:"Customize the entire Application through Extensions. 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Users can chat with Jan, the default assistant"}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Verify sending a message enables users to receive responses from model."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Ensure that the conversation thread is maintained without any loss of data upon sending multiple messages."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\u200cUsers should be able to edit msg and the assistant will re-generate the answer based on the edited version of the message."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Test for the ability to send different types of messages (e.g., text, emojis, code blocks)."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Check the output format of the AI (code blocks, JSON, markdown, ...)."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Validate the scroll functionality in the chat window for lengthy conversations."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Check if the user can copy / delete the response."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Check the ",(0,i.jsx)(s.code,{children:"clear message"})," / ",(0,i.jsx)(s.code,{children:"delete entire chat"})," button works."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Check if deleting all the chat retains the system prompt."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Validate that there is appropriate error handling and messaging if the assistant fails to respond."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Test assistant's ability to maintain context over multiple exchanges."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Check the ",(0,i.jsx)(s.code,{children:"create new chat"})," button, and new conversation will have an automatically generated thread title based on users msg."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Confirm that by changing ",(0,i.jsx)(s.code,{children:"models"})," mid-thread the app can still handle it."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Check the ",(0,i.jsx)(s.code,{children:"regenerate"})," button renews the response (single / multiple times)."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Check the ",(0,i.jsx)(s.code,{children:"Instructions"})," update correctly after the user updates it midway (mid-thread)."]}),"\n"]}),"\n",(0,i.jsx)(s.h3,{id:"2-users-can-customize-chat-settings-like-model-parameters-via-both-the-gui--threadjson",children:"2. 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Users can config instructions for the assistant."}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Test if the instructions set by the user are being followed by the assistant in subsequent conversations."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Validate that changes to instructions are updated in real time and do not require a restart of the application or session."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Check for the ability to reset instructions to default or clear them completely."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," RAG - Users can import documents and the system should process queries about the uploaded file, providing accurate and appropriate responses in the conversation thread."]}),"\n"]}),"\n",(0,i.jsx)(s.h2,{id:"d-hub",children:"D. 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Users update app"}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Validate that the update does not corrupt user data or settings."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Confirm that the app restarts or prompts the user to restart after an update."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","When updating the app, check if the ",(0,i.jsx)(s.code,{children:"/models"})," directory has any JSON files that change according to the update."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Verify if updating the app also updates extensions correctly (test functionality changes, support notifications for necessary tests with each version related to extensions update)."]}),"\n"]}),"\n",(0,i.jsx)(s.h3,{id:"3-users-uninstall--close-app",children:"3. Users uninstall / close app"}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Ensure that after closing the app, all models are unloaded."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11","\u26a0\ufe0f"," Check that the uninstallation process removes the app successfully from the system."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Clean the Jan root directory and open the app to check if it creates all the necessary folders, especially models and extensions."]}),"\n"]}),"\n",(0,i.jsx)(s.h2,{id:"b-overview",children:"B. Overview"}),"\n",(0,i.jsx)(s.h3,{id:"1-shortcut-key-memory-usage--cpu-usage",children:"1. Shortcut key, memory usage / CPU usage"}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Test each shortcut key to confirm it works as described (My models, navigating, opening, closing, etc.)."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Ensure that the interface presents the correct numbers for memory and CPU usage."]}),"\n"]}),"\n",(0,i.jsxs)(s.h3,{id:"2-users-check-the-active-model",children:["2. Users check the ",(0,i.jsx)(s.code,{children:"active model"})]}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Verify that the app correctly displays the state of the loading model (e.g., loading, ready, error)."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Confirm that the app allows users to switch between models if multiple are available."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Check that the app provides feedback or instructions if the model fails to load."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Verify the troubleshooting assistant correctly capture hardware / log info #1784"]}),"\n"]}),"\n",(0,i.jsx)(s.h2,{id:"c-thread",children:"C. Thread"}),"\n",(0,i.jsx)(s.h3,{id:"1-users-can-chat-with-jan-the-default-assistant",children:"1. Users can chat with Jan, the default assistant"}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Verify sending a message enables users to receive responses from model."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Ensure that the conversation thread is maintained without any loss of data upon sending multiple messages."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\u200cUsers should be able to edit msg and the assistant will re-generate the answer based on the edited version of the message."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Test for the ability to send different types of messages (e.g., text, emojis, code blocks)."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Check the output format of the AI (code blocks, JSON, markdown, ...)."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Validate the scroll functionality in the chat window for lengthy conversations."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Check if the user can copy / delete the response."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Check the ",(0,i.jsx)(s.code,{children:"clear message"})," / ",(0,i.jsx)(s.code,{children:"delete entire chat"})," button works."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Check if deleting all the chat retains the system prompt."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Validate that there is appropriate error handling and messaging if the assistant fails to respond."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Test assistant's ability to maintain context over multiple exchanges."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Check the ",(0,i.jsx)(s.code,{children:"create new chat"})," button, and new conversation will have an automatically generated thread title based on users msg."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Confirm that by changing ",(0,i.jsx)(s.code,{children:"models"})," mid-thread the app can still handle it."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Check the ",(0,i.jsx)(s.code,{children:"regenerate"})," button renews the response (single / multiple times)."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Check the ",(0,i.jsx)(s.code,{children:"Instructions"})," update correctly after the user updates it midway (mid-thread)."]}),"\n"]}),"\n",(0,i.jsx)(s.h3,{id:"2-users-can-customize-chat-settings-like-model-parameters-via-both-the-gui--threadjson",children:"2. Users can customize chat settings like model parameters via both the GUI & thread.json"}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Test the functionality to adjust model parameters (e.g., Temperature, Top K, Top P) from the GUI and verify they are reflected in the chat behavior."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Ensure that changes can be saved and persisted between sessions."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Validate that users can access and modify the thread.json file."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Check that changes made in thread.json are correctly applied to the chat session upon reload or restart."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Check the maximum and minimum limits of the adjustable parameters and how they affect the assistant's responses."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Ensure that users switch between threads with different models, the app can handle it."]}),"\n"]}),"\n",(0,i.jsx)(s.h3,{id:"3-model-dropdown",children:"3. Model dropdown"}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Model list should highlight recommended based on user RAM"]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Model size should display (for both installed and imported models)"]}),"\n"]}),"\n",(0,i.jsx)(s.h3,{id:"4-users-can-click-on-a-history-thread",children:"4. Users can click on a history thread"}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Confirm that the chat window displays the entire conversation from the selected history thread without any missing messages."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Check the performance and accuracy of the history feature when dealing with a large number of threads."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Validate that historical threads reflect the exact state of the chat at that time, including settings."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Verify the ability to delete or clean old threads."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Confirm that changing the title of the thread updates correctly."]}),"\n"]}),"\n",(0,i.jsx)(s.h3,{id:"5-users-can-config-instructions-for-the-assistant",children:"5. Users can config instructions for the assistant."}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Test if the instructions set by the user are being followed by the assistant in subsequent conversations."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Validate that changes to instructions are updated in real time and do not require a restart of the application or session."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Check for the ability to reset instructions to default or clear them completely."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," RAG - Users can import documents and the system should process queries about the uploaded file, providing accurate and appropriate responses in the conversation thread."]}),"\n"]}),"\n",(0,i.jsx)(s.h2,{id:"d-hub",children:"D. Hub"}),"\n",(0,i.jsx)(s.h3,{id:"1-users-can-discover-recommended-models-jan-ships-with-a-few-preconfigured-modeljson-files",children:"1. Users can discover recommended models (Jan ships with a few preconfigured model.json files)"}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Ensure that each model's recommendations are consistent with the user\u2019s activity and preferences."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Test the functionality of any filters that refine model recommendations."]}),"\n"]}),"\n",(0,i.jsx)(s.h3,{id:"2-users-can-download-models-suitable-for-their-devices-eg-compatible-with-their-ram",children:"2. Users can download models suitable for their devices, e.g. compatible with their RAM"}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Display the best model for their RAM at the top."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Ensure that models are labeled with RAM requirements and compatibility."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Check the download model functionality and validate if the cancel download feature works correctly."]}),"\n"]}),"\n",(0,i.jsx)(s.h3,{id:"3-users-can-download-models-via-a-huggingface-url-coming-soon",children:"3. Users can download models via a HuggingFace URL (coming soon)"}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Have the warning/status when the user enters the URL."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Check the progress bar reflects the right process."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Validate the error handling for invalid or inaccessible URLs."]}),"\n"]}),"\n",(0,i.jsx)(s.h3,{id:"4-users-can-import-new-models-to-the-hub",children:"4. Users can import new models to the Hub"}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Ensure import successfully via drag / drop or upload GGUF."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Verify Move model binary file / Keep Original Files & Symlink option are working"]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\u26a0\ufe0f"," Ensure it raises clear errors for users to fix the problem while adding a new model."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Users can add more info to the imported model / edit name"]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Ensure the new model updates after restarting the app."]}),"\n"]}),"\n",(0,i.jsx)(s.h3,{id:"5-users-can-use-the-model-as-they-want",children:"5. Users can use the model as they want"}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Check ",(0,i.jsx)(s.code,{children:"start"})," / ",(0,i.jsx)(s.code,{children:"stop"})," / ",(0,i.jsx)(s.code,{children:"delete"})," button response exactly what it does."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Check if starting another model stops the other model entirely."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",checked:!0,disabled:!0})," ","\ud83d\ude80"," Check the ",(0,i.jsx)(s.code,{children:"Explore models"})," navigate correctly to the model panel."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Check when deleting a model it will delete all the files on the user's computer."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ",":warning",":The"," recommended tags should present right for the user's hardware."]}),"\n"]}),"\n",(0,i.jsx)(s.h3,{id:"6-users-can-integrate-with-a-remote-server",children:"6. Users can Integrate With a Remote Server"}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Import openAI GPT model ",(0,i.jsx)(s.a,{href:"https://jan.ai/guides/using-models/integrate-with-remote-server/",children:"https://jan.ai/guides/using-models/integrate-with-remote-server/"})," and the model displayed in Hub / Thread dropdown"]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Users can use the remote model properly"]}),"\n"]}),"\n",(0,i.jsx)(s.h2,{id:"e-system-monitor",children:"E. System Monitor"}),"\n",(0,i.jsx)(s.h3,{id:"1-users-can-see-disk-and-ram-utilization",children:"1. Users can see disk and RAM utilization"}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Verify that the RAM and VRAM utilization graphs display accurate information."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Check that the CPU usage is accurately reported in real time."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Validate that the utilization percentages reflect the actual usage compared to the system's total available resources."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Ensure that the system monitors updates dynamically as the models run and stop."]}),"\n"]}),"\n",(0,i.jsx)(s.h3,{id:"2-users-can-start-and-stop-models-based-on-system-health",children:"2. Users can start and stop models based on system health"}),"\n",(0,i.jsxs)(s.ul,{className:"contains-task-list",children:["\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Test the 'Start' action for a model to ensure it initiates and the system resource usage reflects this change."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","\ud83d\udd11"," Verify the 'Stop' action for a model to confirm it ceases operation and frees up the system resources accordingly."]}),"\n",(0,i.jsxs)(s.li,{className:"task-list-item",children:[(0,i.jsx)(s.input,{type:"checkbox",disabled:!0})," ","Confirm that any changes in model status (start/stop) are logged or reported to the user for transparency."]}),"\n"]}),"\n",(0,i.jsx)(s.h2,{id:"f-settings",children:"F. Settings"}),"\n",(0,i.jsx)(s.h3,{id:"1-appearance",children:"1. 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Jan",id:"how-to-integrate-mistral-ai-with-jan",level:2},{value:"Step 1: Configure Mistral API Key",id:"step-1-configure-mistral-api-key",level:3},{value:"Step 2: Model Configuration",id:"step-2-model-configuration",level:3},{value:"Step 3: Start the Model",id:"step-3-start-the-model",level:3}];function c(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",h3:"h3",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,s.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(n.h2,{id:"how-to-integrate-mistral-ai-with-jan",children:"How to Integrate Mistral AI with Jan"}),"\n",(0,i.jsx)(n.p,{children:"Jan can be used with Mistral AI API."}),"\n",(0,i.jsx)(n.h3,{id:"step-1-configure-mistral-api-key",children:"Step 1: Configure Mistral API Key"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Obtain Mistral API keys from your ",(0,i.jsx)(n.a,{href:"https://console.mistral.ai/user/api-keys/",children:"Mistral"})," dashboard."]}),"\n",(0,i.jsxs)(n.li,{children:["Insert the Mistral AI API key into ",(0,i.jsx)(n.code,{children:"~/jan/engines/openai.json"}),"."]}),"\n"]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-json",metastring:'title="~/jan/engines/openai.json"',children:'{\n "full_url": "https://api.mistral.ai/v1/chat/completions",\n "api_key": ""\n}\n'})}),"\n",(0,i.jsx)(n.h3,{id:"step-2-model-configuration",children:"Step 2: Model Configuration"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Navigate to ",(0,i.jsx)(n.code,{children:"~/jan/models"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["Create a folder named ",(0,i.jsx)(n.code,{children:"mistral-(modelname)"})," (e.g., ",(0,i.jsx)(n.code,{children:"mistral-tiny"}),")."]}),"\n",(0,i.jsxs)(n.li,{children:["Inside, create a ",(0,i.jsx)(n.code,{children:"model.json"})," file with these settings:","\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["Set 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"api",\n "settings": {},\n "parameters": {},\n "metadata": {\n "author": "Mistral AI",\n "tags": ["General", "Big Context Length"]\n },\n "engine": "openai"\n}\n'})}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["For more details regarding the ",(0,i.jsx)(n.code,{children:"model.json"})," settings and parameters fields, please see ",(0,i.jsx)(n.a,{href:"/guides/engines/remote-server/#modeljson",children:"here"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["Mistral AI offers various endpoints. 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You can use the\xa0",(0,r.jsx)(n.a,{href:"https://github.com/oobabooga/text-generation-webui",children:"oobabooga webui"}),"\xa0or ",(0,r.jsx)(n.a,{href:"https://jan.ai/",children:"JanAI"}),", which are simple interfaces that let you interact with different LLMS on your browser. It is pretty easy to set up and run. You can\xa0install it on Windows\xa0or Linux. 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",F="data:image/png;base64,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",h="data:image/png;base64,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",o="data:image/png;base64,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",n="data:image/png;base64,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",u="data:image/png;base64,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",c="data:image/png;base64,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",E="data:image/png;base64,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",B="data:image/png;base64,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",p="data:image/png;base64,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",Y="data:image/png;base64,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",V="data:image/png;base64,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",R="data:image/png;base64,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",I="data:image/png;base64,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",v="data:image/png;base64,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",U="data:image/png;base64,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",W="data:image/png;base64,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",K="data:image/png;base64,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",Q="data:image/png;base64,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",b="data:image/png;base64,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",O="data:image/png;base64,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",M="data:image/png;base64,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",G="data:image/png;base64,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",x="data:image/png;base64,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",Z="data:image/png;base64,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",X="data:image/png;base64,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",F="data:image/png;base64,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",h="data:image/png;base64,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",o="data:image/png;base64,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",n="data:image/png;base64,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",u="data:image/png;base64,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",c="data:image/png;base64,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",E="data:image/png;base64,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",B="data:image/png;base64,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",p="data:image/png;base64,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",Y="data:image/png;base64,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",V="data:image/png;base64,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",R="data:image/png;base64,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",I="data:image/png;base64,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",v="data:image/png;base64,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",U="data:image/png;base64,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",W="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALkAAAC5CAYAAAEDqq7KAAAACXBIWXMAAC4jAAAuIwF4pT92AAAb2ElEQVR4nO2de5BVxZnAe4YZhlEHRdxUgQxXrxUIWluCUuqa2oLZxTUpXR5GokYtwNWUMVEHNigVqwK4a0pDAj6yxg1ugJKUGAyCFWt9sDvDZjVo4Qp/KKLlDdcrWrWRlZcMj2Fm6zt0X/r27dfp7vO8/au6NXfu7dOnz3e+2+frr7u/Dw0ODhq/xow9f6rq2GZE0VkoDpIX+ZS8532GEOpBClo4B9H/z8Pvl9B/2c8q5dIS0Wma4DJI5ZVyCd5X/xowolIu7ROegD4Jof2qt7Rq7nvtMvJ2UqVc2k7+qbkH9BWEhWrIO3VXgDj3AIVoPXsllXKpiXcFI6pnHTbKqHIC3dhAi+gPbCrmnGRTcAK4pM5CcaqOXutCxFR3BTQfPH1O9b9xt39e8/+ty/ajN3cdD97D5/A9ewVwkmZ06mxdbOVwEHnRJ9KBXEGzTuFpk4ZW369deKb2SZBMRKxISKW3LNsf/AXxkO8P9tVLGNc5gv4dBDfZVovIL1rrJtuA69xCq+lE9mduQ91NpjsoV5UjnhZRvWJoeMeyvWmT6UmoY+bTn1e1iMbips+rlEurlScgdBaKvQihKaAN1F/EflYpl6YKK1FZBWPGnj9I/xV9pmVViC4bMZpBvV+qPFrXJtKxgYStp+2hzkJxH/05ftuDBDaSiGZBwTPxSWrsIN7fzkLxPFHlVVNl+c+XodnXf4u0VilOHvS9QTxDi67cwAbidwvE/ln//O/QKy+/FKrF0AjSkDrrgW7tgn9cePKL4h2hTsCD7pKdmyctrKa4qJjU2UJugMsnVvVRqGvrgJVw2fjW6v/EXLl7+mnoiRcPh285a3LA/8NPa0ITOlvYotyWa9k55Cqg9VDxzkq/zmFisdCVErEQ+4b9XiSWOjvfRlvqbJsI7ZpoVVHrhppCVx480ga++B9nlddYAqb9y5H/noEG+z4L3tNdbp2ZYSN79mFRJ3MogAvNomwW2d+l1DG1hLVfnNouHDulzpYRYmuvwBWwVhl7VTplTF413adoAMJaG1pSiQGuD4S1Yshnn+zZg/7qyr+OulVyI52C++CCRoOdR3uKTG09A6ZQglxTKZfmiqoQep9Iw8HUExmrrgwpFnZAKFJTujdYQ97c/g+3BQ2FF5iS8Hfpg/8cS8NJ3U3to6r/izru0D186/j5qGXsTc4aKoO5A5sq5dJM+gOeznfRnrkoJRySGWzxyBxBUcC0c0R1REM+CeMTJTbqms196KF1X1Y/f+DG02ss8NWb+9Dmd44F7+Fz+J62d6/7+jB03ZVtdTYwC/vDDS35R27rQLOubEPvV/prhg60MQ4NhDEK+R6GE/D9jKX7gvdk/EI4d2Rz3Wc8mHZuCS15aDgwfem+mkbzYL+DIcvlGo0UYS35t3YdD6QEt3rD60eq0uVdBM+PTLzi5HgARo06MO3cFFryRC9BgqTBrAqpgLJP/mA4enjeGUFJ2tUvQ+qZ4ZFkVylzvcKFWPU2caMzzOlNY8OpoVYV5UjHxjVvw9Ft36s5mmcmC53k7O+g7YrfoOaOr8bScF2rUuXhdzq1Y8COSrk0UXSYtPE01FRF5OgOM7UbL7ko4gBv4v2vW8aESB1ZkWPrftCZymHLjBl7/llO3R4s+GG1u1Iu7RZ8T/RNqR50GYTQF3gZiLHK1DWc94OkBtx1K1+Som5RkqIXAUmtlnwfG9KFNhL+HiE0GSG0GBeh5z/Zz1Rlek1MkLqGX33136Gnf/VUjT+GTCrG4WQK1Z+LHEvEQ2Y7E2qC6gKENju78CvORlNtEDZe2B3K3HgIT7a2XmA/4UqAiZaj2+6s+YwshuKV5z49afVAHOkDLYUb3bSYNGTEJdwRWWehyH2GkIZXV6FcdOGFNZIm0mYb39TS4bThBE7jC7xyZEnao+SDd997L1ATWj3g/auvvhZJQ3mwje8sFDeyxeju8Cx4wJhUHAWqAQa9jGIfvRgzyUbrnKemV4HGi7q9YV3/EZlemyC1DlPkoq4jkvn8KGDbCTq+IwsNZ2lhR9VpvQNcz64JxLeOOB5cWOBCQzv6yXeqz1SAjsPD594wbWfdz/REAMA69uF7MtvBc/obTAQEOm7UaN5C73PPGVJTlv5+zrT2MKdR0sLqjo6O38rc0jA+dFOsdJzMMtDr8ll4c0mIs3jLllAN3/DG0aDxoBJ7Pj8hbCQBpmjgIl03GoV9AEFjgZ6HR9Q0GuZ+gEWrDtWUD9NL8LYM0LDtbMEPoIt1TzD5nr1o2+MjuRImE1cyYJpx0+Kz6o6/9O69uk042fCwD6ADhwcDab/9xEjU0X7y99K16Ivq3VCxE0+I0ZszdBrNneASNTxpI0u0pBmZPoCSwPoBlBaMHkBJoJxKzArShh9798HUXoa04Sc+/X18LWGAFbsyuItrE2stBVlmjCmz36dyxpnjU6nbYCNqeM1Gyzgbf6Tnb7XKaU+TA22Tnwqck1HBE5DpFHmifbrs9ybV8SR/qFozEjrEKP3zRfOqNEZz+tgwm0hNLdILZNjPdMp0h90za7UYwXThgYvFCPm0VdKMVcPxrWZ31c7j7L6VljHBesGNDZ2FYjdCaAVzkTVolllCTbMbl4mLUD4hvHhijqIYeDymaq4QWeGozGJHZWJBtU5IeyKR4mKyDggzn55N9Qj6RRA2fsyFFTiPFfTWfA/fHcftQmCj1IUXTqjutxehWy7lgMt5bqVcqltP4AJ2L3A3r5+FlSEv/3ut54KdSWeXvLy3cye6+hvX5Emv6zaTmSLcgM2DFSxiFkVR9Ti/4pRRF9MmDKGETuAJH4UQtuvVaS448ectqP+jlWjg4AdhajMyEkILXSRwqg7lSYde9GM0ZPS1YdqZCP0fr0PHdy1Xnjqsza8tdJ6wiYBl3/FI86IkERquVS1XEdLdFU3WP1NluJXRwhdFDWib/EvUPOJSnbaljoGDH6KjW2+WNUtr24DroGlS0rZG0BTV1klVtdzBET5wkqtGDhl9zcmABDkQOAqeSWKPQmehqDQrtRxeppqfF83mIdH2/ZVy6SzZsUqHF96nxQX6ZxQErB1dE1ajwTlTdflkw/8STU9dDVl9IEaNrGeohvk1EbjHDNg0WRejgCXNMQvSisqCyfZu54xivNTfhJ5Hzg5C5cjYs3cAdd3/f3Ul6LChMtg4RBCv5Rlq64ForTmskqaDyUS5Jj2WaFG8xcewrBuCMEEMI1hJTfZqwE2B8qr1urRQIEYSLFJGeFcBvOJYyC9CIc9NRNNDreQOAytwUQij+399sC4+rW5IWXaBNcIarhNFKAHmkgepMLiIzYOUzj2AOAJXBbuCm6B7nie/P7zmsyQFrnqQRtqnj2E2F7E8s1A5jhB2E6JoZj957ku0+rW+8I2NEdKnR7L6Hy7+RzecXv0f9mfQ/TRPoLLQcDSu++wJY93pn+7gKLKdC7RwYEMMCBWsGLbreJGzW8eFYNluBs4x96pTW/igHaAM0yae6grZ3XUugcGR0uEl69PDTEbAxcE2KhUiq4U1GcPeELCQSKg+Ebo7nJClezc2oecNG6H7EWkCZCqUblZQDY6IpmcyzkIWgQVLkQ6OGhXrPl0WTs1lro9GwupBysb8ahQUyjZfJQZdoT8m+iLNe3mjQqZsOsvsnGyqa+4Yh9quWBvndSfCYP8hdKTnb2Sndr8hUGVaDuv6T9TUIh/1ZRXYRTzYf1DW+i7dcKKhN3rhjIpS9yAsDoVFollHQ7MJoaLwmm59DbUXachXpqDW8QuChM5pRneVLoU00LkI2227JhvB8oB2uisezvaRmi5YyhDK5XK6RLZ5t7NQhHxhqzIrYod7jFiS3jHNhtLm7YaOrUxceNduAnihJ0DSQl/jqExdOiPDMvFgm4QkieQpUZaJ+pWmhyh3MyxTZhZv27irMnFgvMgDp7sK7FWT1CX4eBowK1cryrzAZNvh7RAxKhMX2gLHjd7I87Uw2xp1dw7rDC6cDEDShPLBCVqGf449OvtnfGgROVKB41xWplnyFvsVBfUIBY5dtdaZ/LzQaxFFL9qu2X1o4YV+Ct7ef24gHQfAtMp0CJqGqzqPEyGJDbcXR5ndOF9hLHlqtYItDB8+HP3byn9FS5b+U5AiSsb6555Fy1c8hv64dWsc7Y+KNZVyaW4UdbMhRbhxuehEYQt+eB9av/55bmV0uRxFLdKe09SB7cNVcRTR8p/9FM2efX3d57zUczmhB5u5dXG1rQSOp9K41AU9Y4TOCht+BTnkT9hMdiNwiHEsKygSOk/Yoi4nB0yxtbjo9INaGbRlXUfOhV2D6QySUd5entDDCDttuzAGj3yG+svrUP/Hz4Y6zkTofuYniDczCrWOnx8oArx0Q6Lg0XgoaIFrzYqIuhSR9ZJFIPCPZuiqM8OmGKcFrnwCq6yRPAkd4TBWGnEf58gsPBZa4FIftsgaUZmMLBD4LEvAOkpZcDOM9so0reCVOqafbsbzrAY/g3XzinRSWsua2YemcpZcZI3oDuWzGmlOY8WwVp6WGoGLHDYX/eVEtHXrm+gb37xWavqB0KHct2/4Dvd7EoUuq8A6eQla7uzY3LOwoF/R4EwAmeKYpGs0yjDcorCsu0Up/U3Jy5ZzxUJ+5cpbUUjW83D6ACfkaX+/YuuNslsRjjTxnbLe4ZzHYAqw4cz4WNmXJtstCBChP6+RK2CLjSnOwzuBT6Jl7E2uq00VJ30tK42aZCVwYuY1Wvxbm7yiVgL3gYbD42OuOEYhy3nNeNGPJx5WNeNFMp6Y8AKPlx0teB+5LGa5799D4KPDpQwv8JiJNTg8wpGW75l+GvoaFRr7/Uo/ehzHLRexVhJ0GEKoQlD4A4frez/6uA1vHEUbXj/CrYMuB8HldUJ1mxCbwHkhrQkgfPIdxJLlhbqWReKH70gkfTbkKn2cLIQ2XU43TLcJsQx8HrmtoxppXwWEz37hjaNBkHgTIEBwiqPwRz/wodMaECCnBGgyCOaufzkQBO2lgfLnSuKaw3H0a/P22q4IbnBKiX7gw0ZInnzP3iCBB/l5Q78NEZIXrTpUU67n4RHa57jrFwdq/tf9NSVBCxZ4JBF/6NjfwIyl+7gPNgAeZns+P2F8rrd2HdfKuJIw0Q586Kj7CCfgkGGTFyItwk40vwTNW4wwoY8eo8gf9MneAS2tZ01GeOimldgEzmrvdVe21SRF4gE5heDFoso/YWrhxEFsI01VihoXgLWTpEmoQ2wazvaxptqLmO7pQN9g8H/a09QQIh34QF9Km2gwghNZKQj36zQbBH3xLYaZTVQ5i1yQ6MCH7UtVWVNY29vGTCTQgyqRfc6arxFm0Yp+4ANOJRo2Nw/Co1G2KwGb3QXsoAjyANG+Enhws+ZrlEQ68EHY8wYChURMBLhA2UVCV+TKW8dqK7RD9kvrWhRp1Nd4Znxg6P7AjacH6R1VgG9F5qY1gc12KAL8O7bdWGpmfEDT4cJFgxKwWAJHlGNhE4ijjAe0Cb6PIwOiTtYrYQGf9aoeP6eZMrzAY8YvdXOMX+qWLvxSt7jxAo8Xv9TNNd4sTBle4AbYZGf0AjdAshNZiY7A0xPOPyX0y6NKSNERuDBwDcSKakQGvng7UoELA9cc276wIQVug05qX+HUy8DBD9JyHbFxdNv3ZKdigxXXofvQFM7aNlqGWVl3UimXlFkBdAUuzLqnCEuUKyBWii1aAq+US1IHl8gZnydOfPqSyhzs0rncMHb4PNmXkOo2rwwc/BAde1fePeuGvNYWuCq0EOQVzqPQYVR5dOvNqmKTdOsLO9KUrpIHoUP3AmGK8sCxHQt18v2XVV0ujUmiarDL71WVg0gTWY3iBv21qgshhA34a5qkGu7oxbrlIbJl2iNyQj/dX/oVOvG/+p4Mk+jKxsnvdFKy55xQ6dcJxt5CV0HIMoqRsJGLHMkR5v1JI9YZwV2mX8/7VJxuFkUpThOY4hSQPc4qTAdOkyhFkjEWBzCHgZK98yE5lHFkTYglRS/WfPIiwBZlNiwca5OdxTE/oygDw/LtcaTtTSwnMq/7Ye3aOMvEhZ9Ejhkv8JjxAo8ZL/CY8QKPmcQEzpkhqcuwYljmMZMycZGYWUjA+e93ywYZcZaJmsQFniT4BnRTbmZYDtId9obktZ680LBKrphDKeNkLw1bT56IPEwN476aqDE5twOn+Af7YqNOWjnDNsnaoZU6Kq/15A2nSo6FvEQnq7WEi/ELnOormHSGYJAviULxPfnFWsmx/adMr+qIOTg9LtRWRgjNDLMCytOYGCl5Z6EIZsfGhB9/cO53sMI7nff15ItQ/kNQbjyweSdl9h307oNhs857GgNtJe8sFDdi5U7zqk6i7MKNSp7GQyfa23k4l3sjL1luRHbg+w6v3iyPfaRKjhX8T7qVvfLyS+jCCRNqPlvww/vQ+vXPGzVu+c+XodnXf8tZfR5n7MdjskezoPxCJcfrY7Xj4i6Yfy+a3y3eiRVGOXnKzbRNt1me+NiC3btau1njRKbkobayIQ3lRApl1zn+2zd8B/1x69YwzfLEz36s8NZbSlzAVfLOQnEmRII2rT+sstv+ODypZj+ez0ishxcpea/lrGWAjvKq8MqdKx6rlEvdcV+QSMmdrtoyUXbXyt00bBRqah/trL48MXjkU6uojQbEOnkXi5IT/vBfPei8gnwO6dnnfovuu2+R83O3FO9ArRfc4bzePANBLCEUBwRBiyjcXyQbZ1lESu40lEcaenKv5G6AEFbHP1ppFc2UAdYgTTSN5qFDw9jkEEEKIkl53AE9PUTQddTLz4pqt75oWt/K9QPKXSmXpAoOygv+bnitf/534rp+9tOTdc2+3rg9YI97BXcPyLXtirVBnrPW8Qts638Br2h1385G8JMPvejHaMjoa0Md4zGjv7QyMGcscD4olSl5qCn9tM54QqxFiLnoiQ+I6nps2502ZoxTV2Pm1q7c/t070SuvvKp1fPOIS1Db5KeMzu2xx7JXd+Z5ye0qRN+Dp4MwoZc5GMdQpdHere/K4xIH3pOSLvo/XoeO71pu0qZNlXJppu3FhApJgbe99aa1V/e9d3qBNEaGmXXOt924Hmr7G6wdxpGhJ8nyMsUNKDe4sbyCpxcLF6O1p8VoIzNeKB+EQY95t34V8NEOnbgMNXeMi/vUHgOaWs4I3LgGvbn1VkYnEbTiCrcPPXZr8buoqX1UHKfzOCbIaqVOtFSHbWhtF3FXnG4aDmYnO8ah5rMvQUP+YqpXaI81kYeJEwE2tKexgHmLJKhRcuwTh545TFDIhgsg6YkXgzUtu3EczcDHHtjkttvdTPA9eWOSQK7oLuJCjFXBPZ4YWUKUvC59g8eTE3qrLkQcZ6XbwC/JS1+nxJsrjYmhuaKfDvsUvTj40T4XuYCNsqN6JW9MTJTc1k/u05B5ck9ifvIkOfecIWjMyFO/752VfnTgcOMmCMs7uVXy4ac1oTnT2tF1Xx+Gzh0Z/oG1Z+8AWrO5D61+rS/UcWsXnokuG98a+nwsm7cfQ09sOhz8AGVcPr4VPbOQvyj0iRcPB68w3D39tODF49Zl+9Gbu45bX1vc8CaDZpLFV5qkajLogRtPD5TbFvhh/OiG04MX8JPnvgyt8DZMmzg0eAEvvHEU3f/rg7GdO20YTgb1kiW6gZJ3FoqwnHFVlgXxyG0daNaVbZHVTxR+0apDaMPrR4zqeEvQC6p6frgueGW1J3WA0SpXvBe4i/TkmVVwMEt6HjkbdbSLB+AH+waDnnDzO8eUdcGjWvYkeHjeGWjapKHorl8cCN3WW5apl+DLfqxP/mA4uvTuvaHP2+BkezIIBpDbHh8pVPD3K/1o8j17A8VQKTgAg8+H1n2Jxt3+eWCPiwAzAsyiKIAfo6jHh+u83IG932D0Bj05xLnoLBS745wMcsEvv98hrMXWjgVlh5cnFZhMBm0k8dGrA0+8Yit0BCPTySBboEf7WiffOUTMkywCJonIRofrakSbvFIuWe1ZyKwLUTZYUw0MZW6yMIR10X3w9DlW55u+NLKYmLkmlzOeeZvYAdMLxgl7Pj+RgtZkj8z25KLBGXDVpKGhJ0HSBJglMFB+/MXDXrEdkNnJILBNYVaSN5sJtjqYIyJFD2NmyFx6cP4wQG/sCY/BZNA+PPDM/mQQ+Ko3Leb/HkHJx5wzxGoACoNAMuvIAk8S00khl3wi+aHNvao99BMNjhEhO1fEmEwGrcCTQbNIN5jJySBY13GrZIIFemAY7IFPGyZ6dIEfCBwnU3CdiZ04AHMGbHYe4Fd/+4mRaILAC0UDZaCsaM4BzpFR06mbXD1MBs1JuDFGgNkCEz6wMErkUoQZTHoW833OqkPdRVU20/pRAU8rMNt41wBKSz/t2LGMznXDMRleO5OvnUEwAwoTRCJlt0HXjpetQozaJocVl7DswCWu18vEuDOoOhmU251BMFkEZofNsld4RD+07lAol2SSSk4A0wNMNNNrD3ruVYciMU+S2BnUUNvfyGYJ3s2HG+ti8wQomMj+T3K2En70E8a21Nnc4CHa+XG/ct26K5JQ8obaGQQ9E7yiVLa4lCUscM0NukzX7/H05J/c7Qzy5A/bySASJi72ySAfkqIxSSBMXLYngzweDbqJkj/mpeXJKXWTQXOxTR4GHybOo02Mk0GrSR5QHybOEys+TJwn1wwc/DCRy7NW8kq51GtyHCRJ8jQY/cks8kqsJx/44u2kTu1JCMN7bmKP1+BKyTeFPaDfLDuvJ8Mc/2ilSeO3216xKyVfHfaAwb7Pgpzrnsbg+K4Vpte50VZATpLVopNeFphCLYQ9ru2K36Dmjq86aYMnnZz48xZ0bPtCk7ZtsY25ghzb5N0mBx3dejMaPPKZw2Z40gR4VAwVHJnqFIszJa+USxtNYyoe+cOMxNxLnugI0oxvvdm0/qWVcsnaHkcuzRVCZ6G43TQ2YusFd6CW4h1O2+NJhmPvPohOmDsXNlXKpbAz70KcKzmysM+BppYONHTyU95OzyiBebLtTjRo7hN3YofTRKLkyLJHB5o7xqHWixZ7Zc8IDpQbRaHgKEolRycVfbVtqAvo2VvHL0BDRl/jrmEeZ4Ab+Piu5S6qAxs8dFRlHSJVcuQ4tLNX+HRw4tOXAsW27LVpJrkaZPKIXMkJnYUirHGZ4rJOMGlaxt6Emr8yBTW1uI034jnJYP+hYADZ//GzwQSeY9ZAAoioRR2bkqNTa9a3mw5KdYEev6ljHGpqH4Wa20dFearcMND3WaDEMa0p2gFBrHDih8iJVckJnYXiRLwUIJE0LJ7EiFW5CYkoOQH37I9mNQ6jR5tYzBIRiSo5je/dcwf02jNJWIgkSY2S0+D4L9DDz0hPqzwawLKO7rjNERWpVHIWrPRL8CZrfiJ5T9zsx0/eR9PQW8vIhJLzwPb8VOrlzZxo2II9Yr14EV7myKyS26AzQaWzQzyv9eQNv1vfk3u8kntyj1dyT+7xSu7JPV7JPbmnIZXcNOoXB1fLQ1X16CYNdVVPrmjknnwEnnpm2YG/U4Jn9qKuZ4tuNg9X9eQKhND/A5r6KHt/skIWAAAAAElFTkSuQmCC",K="data:image/png;base64,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RVGGoKUmRAJKvuaTDpx1u81fSm30b19L3k9REigoq/gXcZwKXcylcUF/Wp6okRE4Lp9I6tjyRoqIaUmVGOlkY5xxFW5jfX0W/RYCUVBSz7XabniuNsymcoeJMUmFAd9vsvJVHaj3TAnWG4jnHeWnEVCM/Zl0okV1iEXKDcpNqE5hzLpxFLzFoqXJaTYhM4sMYIfecaVO5nKUtyaKAVWJ1NZzJKPKbcRFYnzxhyitNgFFstt620ShK5gBAXrN6ATeZmeIlFiHCqnA5NEibKk3NhnTRAlB9WDIUoW5crlYpfKVYur8v+NI9iSdM/7A3Axq0ALNc1RQoOm1pbBHzY1wIKYKrQVLBq+bvlY1V5sOIF9EAh/RL4sQcU+8twMUmwbVt5dBW8r0gJYRyJX7tVNNVoKLizwpcc2bwQ/5FASJUvkyr3z7T6lOjmrBq67P+Bs3EOMocRCd3nrFVi1uBp+dX8d1Nfo1QBfFthM74GnuuAkvfi+UcaL23O4P/8xies6k6y0OJQNUdBDJoJC8Tcij6gW3739IzCsSP4p1sqNWdBta6dQjN1oVr19Tx+MSCgdeeFSDs5/Gb7vENunihnROyl+PM6Cmyrgd+vr8w0JeTqyszB7ZkX+c+T0oLRW+XbEMs6N6W1SbHtu/kY5rPuhnMTawlsqpVzXiVgqN2X83EEFl0EFX6fwwMRSudv2szddjiN/+ueAlLvu7Q+3RV4slXv/0UH4yXZqj2fHk6/3wpFPxTt/qNjH2geFX9eN2DqUGEdPprIwK1EB65fXQtPCylhmR/sGRuHN9wfgwMdDILrJxsDQKJz/MuerObsIYh8Dw0MBtGe6NKFdgUTJor3lxg1Xq+6uimVoL9s9Ai++2w9nvhQ/7X/dPQKfZ3PQ1Tsi/NphoaVy4+mdA9tuiP0OwsTUcvj1/WNH0nDt/ItXe6G7T8zC+Yap5fkPgmvm9g79didqtyxBBxCPpcVdsYuprSqDHQ9OgUW3iLdXM6dXQOO8cBMwItBOuXEJQjjzyA/kZBfrqsuEba4KC3IoSwzcG0KMoZ1y47G0D2mvty247m55XeymJ5PPvhjWzrnU0qF8YHtXfrvqC49OhVkzaPLBqMmOd65BR1a88mHUpL1jSJk92jxoGwrEs4XLNn+twEjY4d2whffoFv2oqiyD6sll0DAl+Ave1XP9xdA5/Gcl9hnKMBF9dA73RuOnVJRRNDSnEyVLqJZ7zb01+VBeXI91HT45BK/+ox8GBedDcIPSpcuYURzWcm0sC+laRtnE6yy+dXL+gzy9tw9OnBOjiVWTy8aPcqGi49ZSUnLJyxLKJjrz+Ipa+PFS8QkpVPRF8ynRBbKVm7KJ7jTdISeljce5MGUed6QqN5UCcwfj07II85S5qkhVbjzOhYUciYlgNvGJ3XKyiVgnhMKDANiqrwUAtsj8I+hUvvDIVCqnYFjr7W9dg0tXxCsfKvSpc3pmE2UQSkwOs2wP0IHc/M66SRVinWuy0M5QhjJExkob0Fo4LEpGueNaaOfEuWGoqymH6spgM4J1b8lwbjT0GiMy0Fa58ezk1uYpCowketA5ffEv1wIlhTABZAcq+YkzeiaFtFRuzHjSVtfr4BEzTAqhkj+W7hGa3kc/4a7bqiKr1BoE7TQEi1iSYtuDSv7YfbVSro2WHRVdJ0hLSgwsRSwL0ZEe2Win3HsoKeTK1jf6pFwXN2TpFnbUTrmx/Nmi9Z1wsZPiu1Zwvb3u5R44fVG854d1S46cCreIpQi0dCgxKYRHzDDziVGTpsbK/A7EuK3F8aA0tvR79cAAlAu8dbTQuDcF94hTxamIQCVve+9a/kMQxZBDSZQslH6PAFxKqRzSlHUcLpcD+LwzvHg5KXeIYPvv1U1yyp2JRNZxODxEYR6Hw7X8iTNyiyvRsiQktq2t10Kxi8HMp4zimlh38NY5cvcDkXKHxEqNj9zdI+k4HJZIlllck5Q7JPYf0y9ObNLRKWfXFK7BZYYaSblD4uHfdMMpDc+UonP52kHxWWFU7KOfyn3hyaEMkeWtV7TpN//Oh4Pw1r8GhB+tQKU+88VwKB3OSLlDBisCoJIT8qFlCVGyoHKfpcdLlCKk3ESp0lU2OjqKbaLpSDZRauw219w76NESJUabqdwt9GSJEmJfJp04mFfuTDqBsalmerpEibAGrKHATDrRBgCt9HQJzVlmGGvIO5RWkqnsswCwgZ4woSGo2AfNYU9QbhhT8I0A8Aw9XUITsMpqYyadKAhr2yo3jCn4XAA4hltv6QkTCnMok04stRueo3KbJFNZ6fW7CcIHaK2XZtKJY06/6qncJslUFh3O1fQUCAVoNgIgrjArtwmtx4mI8LTUxXArt0kylZ0GAHsBYAk9bUIirZl0wleS0bdyWzEUfaPxIQeUCMI5zJizLDu8EKLcdiRT2aVGpmgFKTzhwHEAwLj0s8VhPBFIU24vDGvfSE+99LEmVkIDAP4PvkOvNbxeMBwAAAAASUVORK5CYII=",Q="data:image/png;base64,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",b="data:image/png;base64,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",O="data:image/png;base64,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",M="data:image/png;base64,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",G="data:image/png;base64,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",x="data:image/png;base64,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",Z="data:image/png;base64,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",X="data:image/png;base64,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Our mission is to democratize AI access, ensuring everyone can easily utilize it with full ownership and control over their data, free from privacy concerns."}),"\n",(0,i.jsx)(n.h3,{id:"what-are-the-things-jan-committed-on",children:"What are the things Jan committed on?"}),"\n",(0,i.jsx)(n.p,{children:"We are committed to creating open, local-first products that extend individual freedom, rejecting dark patterns and ecosystem lock-ins, and embracing an open-source ethos."}),"\n",(0,i.jsx)(n.h4,{id:"whats-different-about-it",children:"What's different about it?"}),"\n",(0,i.jsxs)(n.table,{children:[(0,i.jsx)(n.thead,{children:(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.th,{}),(0,i.jsx)(n.th,{children:"Status Quo"}),(0,i.jsx)(n.th,{children:"Jan"})]})}),(0,i.jsxs)(n.tbody,{children:[(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.strong,{children:"Ownership"})}),(0,i.jsx)(n.td,{children:"Owned by Big Tech"}),(0,i.jsx)(n.td,{children:"Fully owned by you"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.strong,{children:"Openness"})}),(0,i.jsx)(n.td,{children:"Closed-source"}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan/blob/main/LICENSE",children:"Open-source (AGPLv3)"})})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.strong,{children:"Your Role"})}),(0,i.jsx)(n.td,{children:"Consumer"}),(0,i.jsx)(n.td,{children:"Creator"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.strong,{children:"Approach"})}),(0,i.jsx)(n.td,{children:"Cloud-based"}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.a,{href:"https://www.inkandswitch.com/local-first/",children:"Local-first"})})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.strong,{children:"Data Handling"})}),(0,i.jsx)(n.td,{children:"Stored on external servers"}),(0,i.jsx)(n.td,{children:"Stored locally, openly accessible"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.strong,{children:"Privacy"})}),(0,i.jsx)(n.td,{children:"Questionable"}),(0,i.jsx)(n.td,{children:"Private and offline"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.strong,{children:"Transparency"})}),(0,i.jsx)(n.td,{children:'Opaque "Black Box"'}),(0,i.jsx)(n.td,{children:"Open-source and customizable"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.strong,{children:"Outage Resilience"})}),(0,i.jsx)(n.td,{children:"Potential data hostage"}),(0,i.jsx)(n.td,{children:"Continues to work on your device"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.strong,{children:"Philosophy"})}),(0,i.jsx)(n.td,{children:"User monetization"}),(0,i.jsx)(n.td,{children:"Empowerment with the right to repair"})]})]})]}),"\n",(0,i.jsx)(n.h2,{id:"how-we-work",children:"How we work"}),"\n",(0,i.jsx)(n.p,{children:"Jan is an open-source product with transparent development and future features. Users have the right to modify and customize Jan. We are committed to building an open-source AI ecosystem."}),"\n",(0,i.jsxs)(n.p,{children:["Jan is building in public using GitHub, where anyone is welcome to join. Key resources include Jan's ",(0,i.jsx)(n.a,{href:"https://github.com/orgs/janhq/projects/5/views/7",children:"Kanban"})," and Jan's ",(0,i.jsx)(n.a,{href:"https://github.com/orgs/janhq/projects/5/views/29",children:"Roadmap"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["Jan has a fully-remote team, primarily based in the APAC timezone, and we use Discord and GitHub for collaboration. Our community is central to our operations, and we embrace asynchronous work. We hold meetings only for synchronization and vision sharing, using ",(0,i.jsx)(n.a,{href:"https://excalidraw.com/",children:"Excalidraw"})," or ",(0,i.jsx)(n.a,{href:"https://miro.com/",children:"Miro"})," for visualization and sharing notes on Discord for alignment. We also use ",(0,i.jsx)(n.a,{href:"https://hackmd.io/",children:"HackMD"})," to document our ideas and build a Jan library."]}),"\n",(0,i.jsx)(n.h2,{id:"how-to-get-it",children:"How to get it?"}),"\n",(0,i.jsxs)(n.p,{children:["You can install and start using Jan in less than 5 minutes, from ",(0,i.jsx)(n.a,{href:"https://jan.ai",children:"Jan.ai"})," or our ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan",children:"Github repo"}),"."]}),"\n",(0,i.jsx)(n.h2,{id:"what-license-is-the-code-under",children:"What license is the code under?"}),"\n",(0,i.jsxs)(n.p,{children:["Jan is licensed under the ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan/blob/main/LICENSE",children:"AGPLv3 License"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["We happily accept pull requests, however, we do ask that you sign a ",(0,i.jsx)(n.a,{href:"https://en.wikipedia.org/wiki/Contributor_License_Agreement",children:"Contributor License Agreement"})," so that we have the right to relicense your contributions",(0,i.jsx)(n.sup,{children:(0,i.jsx)(n.a,{href:"#user-content-fn-2",id:"user-content-fnref-2","data-footnote-ref":!0,"aria-describedby":"footnote-label",children:"1"})}),"."]}),"\n",(0,i.jsx)(n.h2,{id:"what-was-it-built-with",children:"What was it built with?"}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan",children:"Jan"})," is pragmatically built using ",(0,i.jsx)(n.code,{children:"Typescript"})," at the application level and ",(0,i.jsx)(n.code,{children:"C++"})," at the Inference level (which we have refactored into ",(0,i.jsx)(n.a,{href:"https://nitro.jan.ai",children:"Nitro"}),(0,i.jsx)(n.sup,{children:(0,i.jsx)(n.a,{href:"#user-content-fn-3",id:"user-content-fnref-3","data-footnote-ref":!0,"aria-describedby":"footnote-label",children:"2"})}),")."]}),"\n",(0,i.jsxs)(n.p,{children:["We follow ",(0,i.jsx)(n.a,{href:"https://blog.cleancoder.com/uncle-bob/2012/08/13/the-clean-architecture.html",children:"clean architecture"})," and currently support multiple frameworks and runtimes:"]}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["A desktop client with ",(0,i.jsx)(n.a,{href:"https://www.electronjs.org/",children:"Electron"})]}),"\n",(0,i.jsxs)(n.li,{children:["A headless server-mode with ",(0,i.jsx)(n.a,{href:"https://nodejs.org/en",children:"Nodejs"})]}),"\n",(0,i.jsxs)(n.li,{children:["Planned support for mobile with ",(0,i.jsx)(n.a,{href:"https://capacitorjs.com/",children:"Capacitor"})]}),"\n",(0,i.jsx)(n.li,{children:"Planned support for Python runtime"}),"\n"]}),"\n",(0,i.jsxs)(n.p,{children:["Architecturally, we have made similar choices to the ",(0,i.jsx)(n.a,{href:"https://vercel.com/templates/next.js/nextjs-enterprise-boilerplate",children:"Next.js Enterprise Javascript Stack"}),", which is a ",(0,i.jsx)(n.a,{href:"https://nextjs.org/showcase/enterprise",children:"battle-tested"})," framework for building enterprise-grade applications that scale."]}),"\n",(0,i.jsx)(n.h2,{id:"join-the-team",children:"Join the team"}),"\n",(0,i.jsxs)(n.p,{children:["Join us on this journey at Jan Labs, where we embrace open-source collaboration and transparency. Together, let's shape a future where Jan becomes an essential companion in the open-source community. Explore ",(0,i.jsx)(n.a,{href:"https://janai.bamboohr.com/careers",children:"careers"})," with us."]}),"\n",(0,i.jsx)(n.h2,{id:"contact",children:"Contact"}),"\n",(0,i.jsxs)(n.p,{children:["Drop us a message in our ",(0,i.jsx)(n.a,{href:"https://discord.gg/af6SaTdzpx",children:"Discord"})," and we'll get back to you."]}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.code,{children:"#general"}),": for general discussion"]}),"\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.code,{children:"#get-help"}),": for bug reports and troubleshooting"]}),"\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.code,{children:"#roadmap"}),": for feature requests and ideas"]}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"footnotes",children:"Footnotes"}),"\n",(0,i.jsxs)(n.section,{"data-footnotes":!0,className:"footnotes",children:[(0,i.jsx)(n.h2,{className:"sr-only",id:"footnote-label",children:"Footnotes"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{id:"user-content-fn-2",children:["\n",(0,i.jsxs)(n.p,{children:["Credit to ",(0,i.jsx)(n.a,{href:"https://www.discourse.org/about",children:"Discourse's About Page"})," ",(0,i.jsx)(n.a,{href:"#user-content-fnref-2","data-footnote-backref":"","aria-label":"Back to reference 1",className:"data-footnote-backref",children:"\u21a9"})]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{id:"user-content-fn-3",children:["\n",(0,i.jsxs)(n.p,{children:["Credit to ",(0,i.jsx)(n.a,{href:"https://github.com/ggerganov/llama.cpp",children:"Llama.cpp"}),", ",(0,i.jsx)(n.a,{href:"https://github.com/NVIDIA/TensorRT-LLM",children:"TensorRT-LLM"}),", ",(0,i.jsx)(n.a,{href:"https://github.com/vllm-project/vllm",children:"vLLM"}),", ",(0,i.jsx)(n.a,{href:"https://github.com/InternLM/lmdeploy",children:"LMDeploy"})," and more. ",(0,i.jsx)(n.a,{href:"#user-content-fnref-3","data-footnote-backref":"","aria-label":"Back to reference 2",className:"data-footnote-backref",children:"\u21a9"})]}),"\n"]}),"\n"]}),"\n"]})]})}function h(e={}){const{wrapper:n}={...(0,s.R)(),...e.components};return n?(0,i.jsx)(n,{...e,children:(0,i.jsx)(d,{...e})}):d(e)}},69681:(e,n,t)=>{t.d(n,{A:()=>i});const i=t.p+"assets/images/star-wars-droids-776530079e5c0b4ebad027378f5dd1f3.png"},28453:(e,n,t)=>{t.d(n,{R:()=>o,x:()=>a});var i=t(96540);const s={},r=i.createContext(s);function o(e){const n=i.useContext(r);return i.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function a(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:o(e.components),i.createElement(r.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/ceb5ae55.d6a68798.js b/assets/js/ceb5ae55.d6a68798.js new file mode 100644 index 00000000..c059c780 --- /dev/null +++ b/assets/js/ceb5ae55.d6a68798.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[2992],{74285:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>c,contentTitle:()=>o,default:()=>h,frontMatter:()=>r,metadata:()=>a,toc:()=>l});var i=t(74848),s=t(28453);const r={title:"About Jan",slug:"/about",description:"Jan is a desktop application that turns computers into thinking machines.",keywords:["Jan","Customizable Intelligence","LLM","local AI","privacy focus","free and open source","private and offline","conversational AI","no-subscription fee","large language models","about Jan","desktop application","thinking machine"]},o=void 0,a={id:"about/about",title:"About Jan",description:"Jan is a desktop application that turns computers into thinking machines.",source:"@site/docs/about/about.md",sourceDirName:"about",slug:"/about",permalink:"/about",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/about/about.md",tags:[],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1712027706,formattedLastUpdatedAt:"Apr 2, 2024",frontMatter:{title:"About Jan",slug:"/about",description:"Jan is a desktop application that turns computers into thinking machines.",keywords:["Jan","Customizable Intelligence","LLM","local AI","privacy focus","free and open source","private and offline","conversational AI","no-subscription fee","large language models","about Jan","desktop application","thinking machine"]},sidebar:"aboutSidebar",next:{title:"Jan's Community",permalink:"/community"}},c={},l=[{value:"Jan\u2019s principles",id:"jans-principles",level:2},{value:"Why do we exist?",id:"why-do-we-exist",level:2},{value:"What are the things Jan committed on?",id:"what-are-the-things-jan-committed-on",level:3},{value:"What's different about it?",id:"whats-different-about-it",level:4},{value:"How we work",id:"how-we-work",level:2},{value:"How to get it?",id:"how-to-get-it",level:2},{value:"What license is the code under?",id:"what-license-is-the-code-under",level:2},{value:"What was it built with?",id:"what-was-it-built-with",level:2},{value:"Join the team",id:"join-the-team",level:2},{value:"Contact",id:"contact",level:2},{value:"Footnotes",id:"footnotes",level:2}];function d(e){const n={a:"a",admonition:"admonition",blockquote:"blockquote",code:"code",em:"em",h2:"h2",h3:"h3",h4:"h4",img:"img",li:"li",ol:"ol",p:"p",section:"section",strong:"strong",sup:"sup",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,s.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(n.p,{children:"Jan turns computers into thinking machines."}),"\n",(0,i.jsx)(n.p,{children:"Jan is created and maintained by Jan Labs, a robotics company."}),"\n",(0,i.jsx)(n.p,{children:"With Jan, you can:"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["Run ",(0,i.jsx)(n.a,{href:"https://huggingface.co/models?pipeline_tag=text-generation",children:"open-source LLMs"})," locally or connect to cloud AIs like ",(0,i.jsx)(n.a,{href:"https://openai.com/blog/openai-api",children:"ChatGPT"})," or ",(0,i.jsx)(n.a,{href:"https://ai.google.dev/",children:"Google"}),"."]}),"\n",(0,i.jsx)(n.li,{children:"Fine-tune AI with specific knowledge."}),"\n",(0,i.jsx)(n.li,{children:"Supercharge your productivity by leveraging AI."}),"\n",(0,i.jsx)(n.li,{children:"Search the web and databases."}),"\n",(0,i.jsx)(n.li,{children:"Integrate AI with everyday tools to work on your behalf (with permission)."}),"\n",(0,i.jsx)(n.li,{children:"Customize and add features with Extensions."}),"\n"]}),"\n",(0,i.jsx)(n.admonition,{type:"tip",children:(0,i.jsx)(n.p,{children:"Jan aims for long-term human-robot collaboration, envisioning AI as a harmonious extension of human capabilities. 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Users have the right to modify and customize Jan. We are committed to building an open-source AI ecosystem."}),"\n",(0,i.jsxs)(n.p,{children:["Jan is building in public using GitHub, where anyone is welcome to join. Key resources include Jan's ",(0,i.jsx)(n.a,{href:"https://github.com/orgs/janhq/projects/5/views/7",children:"Kanban"})," and Jan's ",(0,i.jsx)(n.a,{href:"https://github.com/orgs/janhq/projects/5/views/29",children:"Roadmap"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["Jan has a fully-remote team, primarily based in the APAC timezone, and we use Discord and GitHub for collaboration. Our community is central to our operations, and we embrace asynchronous work. We hold meetings only for synchronization and vision sharing, using ",(0,i.jsx)(n.a,{href:"https://excalidraw.com/",children:"Excalidraw"})," or ",(0,i.jsx)(n.a,{href:"https://miro.com/",children:"Miro"})," for visualization and sharing notes on Discord for alignment. We also use ",(0,i.jsx)(n.a,{href:"https://hackmd.io/",children:"HackMD"})," to document our ideas and build a Jan library."]}),"\n",(0,i.jsx)(n.h2,{id:"how-to-get-it",children:"How to get it?"}),"\n",(0,i.jsxs)(n.p,{children:["You can install and start using Jan in less than 5 minutes, from ",(0,i.jsx)(n.a,{href:"https://jan.ai",children:"Jan.ai"})," or our ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan",children:"Github repo"}),"."]}),"\n",(0,i.jsx)(n.h2,{id:"what-license-is-the-code-under",children:"What license is the code under?"}),"\n",(0,i.jsxs)(n.p,{children:["Jan is licensed under the ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan/blob/main/LICENSE",children:"AGPLv3 License"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["We happily accept pull requests, however, we do ask that you sign a ",(0,i.jsx)(n.a,{href:"https://en.wikipedia.org/wiki/Contributor_License_Agreement",children:"Contributor License Agreement"})," so that we have the right to relicense your contributions",(0,i.jsx)(n.sup,{children:(0,i.jsx)(n.a,{href:"#user-content-fn-2",id:"user-content-fnref-2","data-footnote-ref":!0,"aria-describedby":"footnote-label",children:"1"})}),"."]}),"\n",(0,i.jsx)(n.h2,{id:"what-was-it-built-with",children:"What was it built with?"}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.a,{href:"https://github.com/janhq/jan",children:"Jan"})," is pragmatically built using ",(0,i.jsx)(n.code,{children:"Typescript"})," at the application level and ",(0,i.jsx)(n.code,{children:"C++"})," at the Inference level (which we have refactored into ",(0,i.jsx)(n.a,{href:"https://nitro.jan.ai",children:"Nitro"}),(0,i.jsx)(n.sup,{children:(0,i.jsx)(n.a,{href:"#user-content-fn-3",id:"user-content-fnref-3","data-footnote-ref":!0,"aria-describedby":"footnote-label",children:"2"})}),")."]}),"\n",(0,i.jsxs)(n.p,{children:["We follow ",(0,i.jsx)(n.a,{href:"https://blog.cleancoder.com/uncle-bob/2012/08/13/the-clean-architecture.html",children:"clean architecture"})," and currently support multiple frameworks and runtimes:"]}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["A desktop client with ",(0,i.jsx)(n.a,{href:"https://www.electronjs.org/",children:"Electron"})]}),"\n",(0,i.jsxs)(n.li,{children:["A headless server-mode with ",(0,i.jsx)(n.a,{href:"https://nodejs.org/en",children:"Nodejs"})]}),"\n",(0,i.jsxs)(n.li,{children:["Planned support for mobile with ",(0,i.jsx)(n.a,{href:"https://capacitorjs.com/",children:"Capacitor"})]}),"\n",(0,i.jsx)(n.li,{children:"Planned support for Python runtime"}),"\n"]}),"\n",(0,i.jsxs)(n.p,{children:["Architecturally, we have made similar choices to the ",(0,i.jsx)(n.a,{href:"https://vercel.com/templates/next.js/nextjs-enterprise-boilerplate",children:"Next.js Enterprise Javascript Stack"}),", which is a ",(0,i.jsx)(n.a,{href:"https://nextjs.org/showcase/enterprise",children:"battle-tested"})," framework for building enterprise-grade applications that scale."]}),"\n",(0,i.jsx)(n.h2,{id:"join-the-team",children:"Join the team"}),"\n",(0,i.jsxs)(n.p,{children:["Join us on this journey at Jan Labs, where we embrace open-source collaboration and transparency. Together, let's shape a future where Jan becomes an essential companion in the open-source community. Explore ",(0,i.jsx)(n.a,{href:"https://janai.bamboohr.com/careers",children:"careers"})," with us."]}),"\n",(0,i.jsx)(n.h2,{id:"contact",children:"Contact"}),"\n",(0,i.jsxs)(n.p,{children:["Drop us a message in our ",(0,i.jsx)(n.a,{href:"https://discord.gg/af6SaTdzpx",children:"Discord"})," and we'll get back to you."]}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.code,{children:"#general"}),": for general discussion"]}),"\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.code,{children:"#get-help"}),": for bug reports and troubleshooting"]}),"\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.code,{children:"#roadmap"}),": for feature requests and ideas"]}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"footnotes",children:"Footnotes"}),"\n",(0,i.jsxs)(n.section,{"data-footnotes":!0,className:"footnotes",children:[(0,i.jsx)(n.h2,{className:"sr-only",id:"footnote-label",children:"Footnotes"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{id:"user-content-fn-2",children:["\n",(0,i.jsxs)(n.p,{children:["Credit to ",(0,i.jsx)(n.a,{href:"https://www.discourse.org/about",children:"Discourse's About Page"})," ",(0,i.jsx)(n.a,{href:"#user-content-fnref-2","data-footnote-backref":"","aria-label":"Back to reference 1",className:"data-footnote-backref",children:"\u21a9"})]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{id:"user-content-fn-3",children:["\n",(0,i.jsxs)(n.p,{children:["Credit to ",(0,i.jsx)(n.a,{href:"https://github.com/ggerganov/llama.cpp",children:"Llama.cpp"}),", ",(0,i.jsx)(n.a,{href:"https://github.com/NVIDIA/TensorRT-LLM",children:"TensorRT-LLM"}),", ",(0,i.jsx)(n.a,{href:"https://github.com/vllm-project/vllm",children:"vLLM"}),", ",(0,i.jsx)(n.a,{href:"https://github.com/InternLM/lmdeploy",children:"LMDeploy"})," and more. ",(0,i.jsx)(n.a,{href:"#user-content-fnref-3","data-footnote-backref":"","aria-label":"Back to reference 2",className:"data-footnote-backref",children:"\u21a9"})]}),"\n"]}),"\n"]}),"\n"]})]})}function h(e={}){const{wrapper:n}={...(0,s.R)(),...e.components};return n?(0,i.jsx)(n,{...e,children:(0,i.jsx)(d,{...e})}):d(e)}},69681:(e,n,t)=>{t.d(n,{A:()=>i});const i=t.p+"assets/images/star-wars-droids-776530079e5c0b4ebad027378f5dd1f3.png"},28453:(e,n,t)=>{t.d(n,{R:()=>o,x:()=>a});var i=t(96540);const s={},r=i.createContext(s);function o(e){const n=i.useContext(r);return i.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function a(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:o(e.components),i.createElement(r.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/d05ec3cd.414dc534.js b/assets/js/d05ec3cd.414dc534.js deleted file mode 100644 index 68e9fc33..00000000 --- a/assets/js/d05ec3cd.414dc534.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[8538],{77861:(t,e,s)=>{s.r(e),s.d(e,{assets:()=>c,contentTitle:()=>i,default:()=>d,frontMatter:()=>a,metadata:()=>r,toc:()=>u});var n=s(74848),o=s(28453);const a={title:"AI PC",tags:["use-cases"]},i=void 0,r={id:"solutions/ai-pc",title:"AI PC",description:"",source:"@site/docs/solutions/ai-pc.md",sourceDirName:"solutions",slug:"/solutions/ai-pc",permalink:"/solutions/ai-pc",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/solutions/ai-pc.md",tags:[{label:"use-cases",permalink:"/tags/use-cases"}],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1711818688,formattedLastUpdatedAt:"Mar 30, 2024",frontMatter:{title:"AI PC",tags:["use-cases"]},sidebar:"solutionSidebar",next:{title:"Self-hosted alternative to OpenAI's Platform",permalink:"/solutions/chatgpt-alternative"}},c={},u=[];function l(t){return(0,n.jsx)(n.Fragment,{})}function d(t={}){const{wrapper:e}={...(0,o.R)(),...t.components};return e?(0,n.jsx)(e,{...t,children:(0,n.jsx)(l,{...t})}):l()}},28453:(t,e,s)=>{s.d(e,{R:()=>i,x:()=>r});var n=s(96540);const o={},a=n.createContext(o);function i(t){const e=n.useContext(a);return n.useMemo((function(){return"function"==typeof t?t(e):{...e,...t}}),[e,t])}function r(t){let e;return e=t.disableParentContext?"function"==typeof t.components?t.components(o):t.components||o:i(t.components),n.createElement(a.Provider,{value:e},t.children)}}}]); 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assistance."]})}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsx)(n.li,{children:"Navigate to the main dashboard."}),"\n",(0,r.jsxs)(n.li,{children:["Click the ",(0,r.jsx)(n.strong,{children:"gear icon (\u2699\ufe0f)"})," on the bottom left of your screen."]}),"\n",(0,r.jsxs)(n.li,{children:["Under the ",(0,r.jsx)(n.strong,{children:"Settings screen"}),", click the ",(0,r.jsx)(n.strong,{children:"Advanced Settings"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["On the ",(0,r.jsx)(n.strong,{children:"GPU Acceleration"})," click the slider to enable."]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"access-the-jan-data-folder",children:"Access the Jan Data Folder"}),"\n",(0,r.jsx)(n.p,{children:"To access the folder where messages, model configurations and user data are stored, follow the steps below:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsx)(n.li,{children:"Navigate to the main dashboard."}),"\n",(0,r.jsxs)(n.li,{children:["Click the ",(0,r.jsx)(n.strong,{children:"gear icon (\u2699\ufe0f)"})," on the bottom left of your screen."]}),"\n",(0,r.jsxs)(n.li,{children:["Under the ",(0,r.jsx)(n.strong,{children:"Settings screen"}),", click the ",(0,r.jsx)(n.strong,{children:"Advanced Settings"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["On the ",(0,r.jsx)(n.strong,{children:"Jan Data Folder"})," click the ",(0,r.jsx)(n.strong,{children:"folder icon (\ud83d\udcc2)"})," to access the data or the ",(0,r.jsx)(n.strong,{children:"pencil icon (\u270f\ufe0f)"})," to change the folder where you keep your data."]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"https-proxy",children:"HTTPS Proxy"}),"\n",(0,r.jsx)(n.p,{children:"HTTPS Proxy encrypts data between your browser and the internet, making it hard for outsiders to intercept or read. It also helps you to maintain your privacy and security while being able to bypass regional restrictions on internet."}),"\n",(0,r.jsx)(n.admonition,{type:"note",children:(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"When configuring Jan using an HTTPS proxy, the speed of the downloading model may be affected due to the encryption and decryption process. It also depends on the networking of the cloud service provider."}),"\n",(0,r.jsx)(n.li,{children:"HTTPS Proxy does not affect the remote model usage."}),"\n"]})}),"\n",(0,r.jsx)(n.h3,{id:"setting-up-your-own-https-proxy-server",children:"Setting Up Your Own HTTPS Proxy Server"}),"\n",(0,r.jsxs)(n.p,{children:["This guide provides a simple overview of setting up an HTTPS proxy server using ",(0,r.jsx)(n.strong,{children:"Squid"}),", a widely used open-source proxy software."]}),"\n",(0,r.jsx)(n.admonition,{type:"note",children:(0,r.jsx)(n.p,{children:"Other software options are also available depending on your requirements."})}),"\n",(0,r.jsx)(n.h4,{id:"step-1-choosing-a-server",children:"Step 1: Choosing a Server"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Firstly, you need to choose a server to host your proxy server."}),"\n",(0,r.jsx)(n.admonition,{type:"note",children:(0,r.jsx)(n.p,{children:"We recommend using a well-known cloud provider service like:"})}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"Amazon AWS"}),"\n",(0,r.jsx)(n.li,{children:"Google Cloud"}),"\n",(0,r.jsx)(n.li,{children:"Microsoft Azure"}),"\n",(0,r.jsx)(n.li,{children:"Digital Ocean\n:::"}),"\n"]}),"\n",(0,r.jsxs)(n.ol,{start:"2",children:["\n",(0,r.jsx)(n.li,{children:"Ensure that your server has a public IP address and is accessible from the internet."}),"\n"]}),"\n",(0,r.jsx)(n.h4,{id:"step-2-installing-squid",children:"Step 2: Installing Squid"}),"\n",(0,r.jsxs)(n.p,{children:["Instal ",(0,r.jsx)(n.strong,{children:"Squid"})," using the following command:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"sudo apt-get update\nsudo apt-get install squid\n"})}),"\n",(0,r.jsx)(n.h4,{id:"step-3-configure-squid-for-https",children:"Step 3: Configure Squid for HTTPS"}),"\n",(0,r.jsx)(n.p,{children:"To enable HTTPS, you will need to configure Squid with SSL support."}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsx)(n.li,{children:"Squid requires an SSL certificate to be able to handle HTTPS traffic. You can generate a self-signed certificate or obtain one from a Certificate Authority (CA). For a self-signed certificate, you can use OpenSSL:"}),"\n"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"openssl req -new -newkey rsa:2048 -days 365 -nodes -x509 -keyout squid-proxy.pem -out squid-proxy.pem\n"})}),"\n",(0,r.jsxs)(n.ol,{start:"2",children:["\n",(0,r.jsxs)(n.li,{children:["Edit the Squid configuration file ",(0,r.jsx)(n.code,{children:"/etc/squid/squid.conf"})," to include the path to your SSL certificate and enable the HTTPS port:"]}),"\n"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"http_port 3128 ssl-bump cert=/path/to/your/squid-proxy.pem\nssl_bump server-first all\nssl_bump bump all\n"})}),"\n",(0,r.jsxs)(n.ol,{start:"3",children:["\n",(0,r.jsxs)(n.li,{children:["To intercept HTTPS traffic, Squid uses a process called SSL Bumping. This process allows Squid to decrypt and re-encrypt HTTPS traffic. To enable SSL Bumping, ensure the ",(0,r.jsx)(n.code,{children:"ssl_bump"})," directives are configured correctly in your ",(0,r.jsx)(n.code,{children:"squid.conf"})," file."]}),"\n"]}),"\n",(0,r.jsx)(n.h4,{id:"step-4-optional-configure-acls-and-authentication",children:"Step 4 (Optional): Configure ACLs and Authentication"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsx)(n.li,{children:"You can define rules to control who can access your proxy. This is done by editing the squid.conf file and defining ACLs:"}),"\n"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:'acl allowed_ips src "/etc/squid/allowed_ips.txt"\nhttp_access allow allowed_ips\n'})}),"\n",(0,r.jsxs)(n.ol,{start:"2",children:["\n",(0,r.jsx)(n.li,{children:"If you want to add an authentication layer, Squid supports several authentication schemes. Basic authentication setup might look like this:"}),"\n"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"auth_param basic program /usr/lib/squid/basic_ncsa_auth /etc/squid/passwords\nacl authenticated proxy_auth REQUIRED\nhttp_access allow authenticated\n"})}),"\n",(0,r.jsx)(n.h4,{id:"step-5-restart-and-test-your-proxy",children:"Step 5: Restart and Test Your Proxy"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsx)(n.li,{children:"After configuring, restart Squid to apply the changes:"}),"\n"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"sudo systemctl restart squid\n"})}),"\n",(0,r.jsxs)(n.ol,{start:"2",children:["\n",(0,r.jsx)(n.li,{children:"To test, configure your browser or another client to use the proxy server with its IP address and port (default is 3128)."}),"\n",(0,r.jsx)(n.li,{children:"Check if you can access the internet through your proxy."}),"\n"]}),"\n",(0,r.jsxs)(n.admonition,{type:"tip",children:[(0,r.jsx)(n.p,{children:"Tips for Secure Your Proxy:"}),(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Firewall rules"}),": Ensure that only intended users or IP addresses can connect to your proxy server. This can be achieved by setting up appropriate firewall rules."]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Regular updates"}),": Keep your server and proxy software updated to ensure that you are protected against known vulnerabilities."]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Monitoring and logging"}),": Monitor your proxy server for unusual activity and enable logging to keep track of the traffic passing through your proxy."]}),"\n"]})]}),"\n",(0,r.jsx)(n.h3,{id:"setting-up-jan-to-use-your-https-proxy",children:"Setting Up Jan to Use Your HTTPS Proxy"}),"\n",(0,r.jsx)(n.p,{children:"Once you have your HTTPS proxy server set up, you can configure Jan to use it."}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Navigate to ",(0,r.jsx)(n.strong,{children:"Settings"})," > ",(0,r.jsx)(n.strong,{children:"Advanced Settings"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["On the ",(0,r.jsx)(n.strong,{children:"HTTPS Proxy"})," click 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\ No newline at end of file diff --git a/assets/js/dabe0364.0282cad7.js b/assets/js/dabe0364.0282cad7.js deleted file mode 100644 index 1dbd4628..00000000 --- a/assets/js/dabe0364.0282cad7.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[7572],{62574:(e,t,n)=>{n.r(t),n.d(t,{assets:()=>l,contentTitle:()=>r,default:()=>c,frontMatter:()=>a,metadata:()=>o,toc:()=>d});var i=n(74848),s=n(28453);const a={title:"How to Fine-tune Large Language Models - A Tutorial",description:"Guide on Finetuning Large Language Models with Personal Dataset",slug:"/tutorial/how-to-fine-tune-llms",tags:["Large Language Models","Finetune LLM","Retrieval Augmented Generation","Personal Dataset","Customzied Dataset","Fine Tuning Tutorial"],keywords:["Large Language Models","Finetune LLM","Retrieval Augmented Generation","Personal Dataset","Customzied Dataset","Fine Tuning Tutorial"],authors:[{name:"Rex Ha",title:"LLM Researcher & Content Writer",url:"https://github.com/hahuyhoang411",image_url:"https://avatars.githubusercontent.com/u/64120343?v=4",email:"rex@jan.ai"},{name:"Ed"},{name:"Alan Dao",title:"AI Engineer",url:"https://github.com/tikikun",image_url:"https://avatars.githubusercontent.com/u/22268502?v=4",email:"alan@jan.ai"}]},r=void 0,o={id:"pending-content/blogpost/finetune-with-docs",title:"How to Fine-tune Large Language Models - A Tutorial",description:"Guide on Finetuning Large Language Models with Personal Dataset",source:"@site/docs/pending-content/blogpost/finetune-with-docs.mdx",sourceDirName:"pending-content/blogpost",slug:"/tutorial/how-to-fine-tune-llms",permalink:"/tutorial/how-to-fine-tune-llms",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/pending-content/blogpost/finetune-with-docs.mdx",tags:[{label:"Large Language Models",permalink:"/tags/large-language-models"},{label:"Finetune LLM",permalink:"/tags/finetune-llm"},{label:"Retrieval Augmented Generation",permalink:"/tags/retrieval-augmented-generation"},{label:"Personal Dataset",permalink:"/tags/personal-dataset"},{label:"Customzied Dataset",permalink:"/tags/customzied-dataset"},{label:"Fine Tuning Tutorial",permalink:"/tags/fine-tuning-tutorial"}],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1711818688,formattedLastUpdatedAt:"Mar 30, 2024",frontMatter:{title:"How to Fine-tune Large Language Models - A Tutorial",description:"Guide on Finetuning Large Language Models with Personal Dataset",slug:"/tutorial/how-to-fine-tune-llms",tags:["Large Language Models","Finetune LLM","Retrieval Augmented Generation","Personal Dataset","Customzied Dataset","Fine Tuning Tutorial"],keywords:["Large Language Models","Finetune LLM","Retrieval Augmented Generation","Personal Dataset","Customzied Dataset","Fine Tuning Tutorial"],authors:[{name:"Rex Ha",title:"LLM Researcher & Content Writer",url:"https://github.com/hahuyhoang411",image_url:"https://avatars.githubusercontent.com/u/64120343?v=4",email:"rex@jan.ai"},{name:"Ed"},{name:"Alan Dao",title:"AI Engineer",url:"https://github.com/tikikun",image_url:"https://avatars.githubusercontent.com/u/22268502?v=4",email:"alan@jan.ai"}]}},l={},d=[{value:"1. Environment setup",id:"1-environment-setup",level:2},{value:"2. Data generation",id:"2-data-generation",level:2},{value:"3. Finetuning",id:"3-finetuning",level:2},{value:"4. Test the model",id:"4-test-the-model",level:2},{value:"Limitations",id:"limitations",level:2},{value:"Conclusions",id:"conclusions",level:2},{value:"Terminology",id:"terminology",level:2},{value:"What is Instruction tuning?",id:"what-is-instruction-tuning",level:3},{value:"What is LoRA?",id:"what-is-lora",level:3},{value:"What is Langchain?",id:"what-is-langchain",level:3},{value:"What is Flash Attention?",id:"what-is-flash-attention",level:3}];function h(e){const t={a:"a",code:"code",em:"em",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,s.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(t.p,{children:"Large Language Models (LLMs) are all the rage nowadays, with people using them more and more on a daily basis. As our usage increases, many use cases require the LLM to understand our data, and there are two main approaches we can use:"}),"\n",(0,i.jsxs)(t.ol,{children:["\n",(0,i.jsx)(t.li,{children:"Fine-tuning"}),"\n",(0,i.jsx)(t.li,{children:"Retrieval Augmented Generation (RAG)"}),"\n"]}),"\n",(0,i.jsx)(t.p,{children:"This blog will investigate the first approach to see how fine-tuning performs in understanding some technical product documentation. In detail, you will learn how to:"}),"\n",(0,i.jsxs)(t.ol,{children:["\n",(0,i.jsx)(t.li,{children:"Create a Question and Answer dataset from unstructured data"}),"\n",(0,i.jsx)(t.li,{children:"Fine-tune a model using the dataset"}),"\n",(0,i.jsx)(t.li,{children:"Run the fine-tuned model using Jan"}),"\n"]}),"\n",(0,i.jsx)(t.p,{children:"Let\u2019s get started!"}),"\n",(0,i.jsx)(t.h2,{id:"1-environment-setup",children:"1. Environment setup"}),"\n",(0,i.jsx)(t.p,{children:"Our first step is to install the Hugging Face libraries, which provide the backbone for running large language models (LLMs). Additionally, we'll use LangChain as our go-to tool for efficiently handling and processing our data."}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-js",metastring:'title="Install libraries"',children:'# Install Hugging Face libraries\npip install --upgrade \\\n "transformers==4.36.2" \\\n "datasets==2.16.1" \\\n "accelerate==0.26.1" \\\n "evaluate==0.4.1" \\\n "bitsandbytes==0.42.0"\n\n# Install libraries for generating data\npip install --upgrade \\\n\t"llama-cpp-python" \\\n\t"pydantic==1.10.11" \\\n\t"sentence-transformers" \\\n\t"chromadb" \\\n\t"langchain" \\\n\t"tiktoken" \\\n\t"openai==0.28"\n'})}),"\n",(0,i.jsx)(t.p,{children:"In this guide, we'll utilize ChatGPT to create our training dataset. To leverage Hugging Face and OpenAI resources, we first sign into these platforms using the commands below:"}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-python",metastring:'title="Setting up credential keys"',children:'# Import libaries\nfrom huggingface_hub import login\nimport openai\n\n# Setting up credential keys\nOPENAI_KEY_FILE = "YOUR_KEY_HERE"\nHUGGINGFACE_KEY_FILE = "YOUR_KEY_HERE"\n\nopenai.api_key = open_file(OPENAI_KEY_FILE)\nlogin(token=HUGGINGFACE_KEY_FILE)\n'})}),"\n",(0,i.jsx)(t.h2,{id:"2-data-generation",children:(0,i.jsx)(t.strong,{children:"2. Data generation"})}),"\n",(0,i.jsxs)(t.p,{children:["In this tutorial, the \u201cdata\u201d we will use will be the ",(0,i.jsx)(t.a,{href:"https://nitro.jan.ai/",children:"Nitro documentation"}),". Nitro is an open-source, lightweight (3 MB) inference server to supercharge apps with local AI."]}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.img,{alt:"About Nitro",src:n(46743).A+"",width:"987",height:"882"})}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.strong,{children:"Fig 1. Example of Nitro's documentation."})}),"\n",(0,i.jsx)(t.p,{children:"At a basic level, documentation is just pages filled with just words. If we give these words to the LLM as they are, it can confuse the model about what is important. Moreover, the unstructured nature of plain text doesn't provide the contextual clues that LLMs need to understand and generate meaningful responses."}),"\n",(0,i.jsxs)(t.p,{children:["To teach it, we will use a method called ",(0,i.jsx)(t.a,{href:"#what-is-instruction-tuning",children:(0,i.jsx)(t.strong,{children:'"Instruction tuning"'})}),", which involves refining the model's ability to comprehend and execute text-based instructions more effectively."]}),"\n",(0,i.jsx)(t.p,{children:"But how do we change the text from the documentation into the right data? We need to make pairs of questions and answers."}),"\n",(0,i.jsx)(t.p,{children:"The main idea is that we will break the documents into smaller pieces. Then, we use the LLM to help us develop questions and answers from those pieces."}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsxs)(t.em,{children:["Note: We also open-source the ",(0,i.jsx)(t.a,{href:"https://huggingface.co/datasets/jan-hq/nitro_binarized",children:(0,i.jsx)(t.strong,{children:"Nitro\u2019s documentation training dataset"})})," in our ",(0,i.jsx)(t.a,{href:"https://huggingface.co/jan-hq",children:(0,i.jsx)(t.strong,{children:"Hugging Face Hub"})}),"."]})}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.strong,{children:"Table 1. Example of Question and Answer pairs"})}),"\n",(0,i.jsxs)(t.table,{children:[(0,i.jsx)(t.thead,{children:(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.th,{children:"User"}),(0,i.jsx)(t.th,{children:"Assistant"})]})}),(0,i.jsxs)(t.tbody,{children:[(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.td,{children:"Is Nitro an open-source tool?"}),(0,i.jsx)(t.td,{children:"Yes, Nitro is an open-source tool."})]}),(0,i.jsxs)(t.tr,{children:[(0,i.jsxs)(t.td,{children:["What does the ",(0,i.jsx)(t.code,{children:"max_tokens"})," parameter in the prompt request do?"]}),(0,i.jsxs)(t.td,{children:["The ",(0,i.jsx)(t.code,{children:"max_tokens"})," parameter in the prompt request is used to specify the maximum number of tokens that the response should contain. A token can be as small as one character or as large as one word. For example, if ",(0,i.jsx)(t.code,{children:"max_tokens"})," is set to 100, the response will contain no more than 100 tokens."]})]}),(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.td,{children:"What operating systems does the Nitro library support?"}),(0,i.jsx)(t.td,{children:"The Nitro library supports multiple operating systems including Windows, MacOS, and Linux. This cross-platform compatibility allows it to cater to a wide range of users using different OS."})]}),(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.td,{children:"Is Nitro compatible with OpenAI?"}),(0,i.jsx)(t.td,{children:"Yes, Nitro is compatible with OpenAI. This means that it can work seamlessly with models and applications built using OpenAI's technology."})]}),(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.td,{children:"What is the endpoint '/v1/chat/completions' used for in the curl command?"}),(0,i.jsx)(t.td,{children:"The '/v1/chat/completions' endpoint in the curl command is the specific location in the server where the request is being sent. The purpose of this endpoint is to handle chat completions, likely returning the next predicted response(s) from the chat assistant based on the sent message."})]})]})]}),"\n",(0,i.jsx)(t.p,{children:"You can create your dataset by using the following example code."}),"\n",(0,i.jsx)(t.p,{children:"First, we need to define some helper functions to process the raw documents into QnA pairs."}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-python",metastring:'title="Define helper functions"',children:"# Reads and returns the content of a file.\ndef read_file(filepath):\n with open(filepath, 'r', encoding='utf-8') as file:\n return file.read()\n\n# Generates a response from the ChatGPT model\ndef generate_chatgpt_response(messages, temperature=0.5, model=\"gpt-3.5-turbo\", max_tokens=4096):\n response = openai.ChatCompletion.create(\n model=model, messages=messages, temperature=temperature, max_tokens=max_tokens\n )\n return response['choices'][0]['message']['content']\n\n# Process Markdown files\ndef process_markdown_file(file_path, markdown_splitter, text_splitter):\n with open(file_path, 'r') as file:\n markdown_document = file.read()\n md_header_splits = markdown_splitter.split_text(markdown_document)\n return [chunk for split in md_header_splits for chunk in text_splitter.split_documents([split])]\n \n# Extracts question and answer pairs from a given text\ndef extract_qa_pairs(text):\n qa_pairs = []\n current_pair = {}\n lines = text.split('\\n')\n for line in lines:\n if line.startswith('\"question\": '):\n current_pair['question'] = line.split('\"question\": ')[1].strip(' \",')\n elif line.startswith('\"answer\": '):\n current_pair['answer'] = line.split('\"answer\": ')[1].strip(' \",')\n qa_pairs.append(current_pair)\n current_pair = {}\n return qa_pairs\n\n# Parse QnA pairs as JSON\ndef parse_response(response):\n try:\n parsed_data = json.loads(response)\n return parsed_data['qa_pairs']\n except json.JSONDecodeError:\n return extract_qa_pairs(response)\n \n# Create new column in the dataset\ndef create_message(row):\n return [{\"content\": row['question'], \"role\": \"user\"}, {\"content\": row['answer'], \"role\": \"assistant\"}]\n"})}),"\n",(0,i.jsxs)(t.p,{children:["In this case, we're using the Langchain framework to streamline our work, which gives us different ways to handle the processing step with just a few lines of code. Most of our documents are written in a Markdown format, so we'll use the ",(0,i.jsx)(t.code,{children:"MarkdownHeaderTextSplitter"})," function combined with the ",(0,i.jsx)(t.code,{children:"TokenTextSplitter"})," function to ensure we give the LLM the right amount of text to create questions and answers."]}),"\n",(0,i.jsx)(t.p,{children:"We chose a chunk size of 300 tokens to ensure that when we generate QnA pairs, the generation won't be out of context with the token length of the LLM (normally, it\u2019s capped at 4096 tokens). Also, we applied the overlap technique so that each chunk will contain the context from the previous chunk to make the chunk coherent."}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-python",metastring:'title="Create logic for processing raw data"',children:'# Chunking settings\nHEADERS_TO_SPLIT_ON = [("#", "Header 1"), ("##", "Header 2"), ("###", "Header 3")]\n\n# Main Script Logic\nmarkdown_splitter = MarkdownHeaderTextSplitter(headers_to_split_on=HEADERS_TO_SPLIT_ON)\ntext_splitter = TokenTextSplitter(chunk_size=300, chunk_overlap=30)\n'})}),"\n",(0,i.jsx)(t.p,{children:"For generating QnA pairs, we need to set up the prompt for the LLM to generate the model. For this task, we used GPT-4 to generate QnA pairs but you can also try with any other Local LLMs with a little bit of tweaking on the system prompt."}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{children:"You are a curious assistant. Your task is to make 10 pairs of questions and answers using the given context delimited by triple quotation marks. You are extremely critical and can ask questions at different difficulty levels. You will be more generic and unique and focus on the Nitro library (the given context is from Nitro library). And you can also answer with the code block. Your `answer` must be detailed, comprehensive and step by step guide. Let's think step by step. It's really important to my project. Strictly follow the JSON format for output with 1 field `qa_pairs` and `question`, `answer`.\n"})}),"\n",(0,i.jsx)(t.p,{children:"To generate a diverse dataset, we'll configure the LLM to produce 10 QnA pairs per iteration. We'll execute this process three times to enrich the dataset's variety. After setting everything up, let's generate a training dataset."}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-python",metastring:"title",children:"# Set up directory\nROOT_DIR = \"PATH/TO/YOUR/DATA/FOLDER\"\nCSV_FILE_PATH = \"PATH/TO/SAVE/OUTPUT/CSV/FILE\"\nREPO_NAME = \"YOUR/HUGGINGFACE/REPO\"\n\n# Initialize data frame\nall_chunks = []\nmaster_df = pd.DataFrame(columns=['question', 'answer', 'raw'])\n\n# Split raw text into chunks\nfor subdir, dirs, files in os.walk(ROOT_DIR):\n for file in files:\n if file.endswith('.md'):\n file_path = os.path.join(subdir, file)\n file_chunks = process_markdown_file(file_path,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tmarkdown_splitter,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\ttext_splitter)\n all_chunks.extend(file_chunks)\n\n# Generating QnA pairs with GPT\nfor _ in range(3):\n for chunk in all_chunks:\n conversation = [{'role': 'system', 'content': open_file(SYSTEM_FILE_PATH)},\n {'role': 'user', 'content': str(chunk)}]\n response_verification = chatgpt_completion(conversation)\n qa_pairs = extract_qa_pairs_from_response(response_verification)\n qa_df = pd.DataFrame(qa_pairs)\n qa_df['raw'] = [chunk] * len(qa_df)\n master_df = pd.concat([master_df, qa_df], ignore_index=True)\nmaster_df.to_csv(CSV_FILE_PATH, index=False, encoding='utf-8')\n\n# Deduplication\ndf = pd.read_csv(CSV_FILE_PATH)\ndf_deduplicated = df.drop_duplicates()\ndf_deduplicated['messages'] = df_deduplicated.apply(create_message, axis=1)\n\n# Convert data frame to Huggingface dataset format\nmessages = df_deduplicated['message'].tolist()\nrejected = df_deduplicated['rejected'].tolist()\nhf_dataset = Dataset.from_dict({'messages': messages, 'chosen': messages, 'rejected': rejected})\n\n# Split train and test\nsplit_dataset = hf_dataset.train_test_split(test_size=0.1)\n\n# Push to Hugging Face Hub\nsplit_dataset.push_to_hub(REPO_NAME)\n"})}),"\n",(0,i.jsxs)(t.p,{children:["Please refer to ",(0,i.jsx)(t.strong,{children:"Table 1"})," for samples of the generated dataset."]}),"\n",(0,i.jsx)(t.h2,{id:"3-finetuning",children:(0,i.jsx)(t.strong,{children:"3. Finetuning"})}),"\n",(0,i.jsxs)(t.p,{children:["We use the ",(0,i.jsx)(t.a,{href:"https://github.com/huggingface/alignment-handbook",children:"alignment-handbook"})," from Hugging Face for the training code. This is a well-written library that explains in detail everything about finetuning LLMs. It also provides cutting-edge technology implementation like ",(0,i.jsx)(t.a,{href:"#what-is-lora",children:"LORA/QLoRA"})," or ",(0,i.jsx)(t.a,{href:"#what-is-flash-attention",children:"Flash Attention"})," for efficient training on customer GPUs."]}),"\n",(0,i.jsxs)(t.p,{children:["For installing the alignment-handbook, please follow their ",(0,i.jsx)(t.a,{href:"https://github.com/huggingface/alignment-handbook?tab=readme-ov-file#installation-instructions",children:"installation guide"}),"."]}),"\n",(0,i.jsxs)(t.p,{children:["In our training setup, we selected the ",(0,i.jsx)(t.a,{href:"https://huggingface.co/jan-hq/stealth-v1.3",children:"Stealth v1.3"})," model as the foundation. We explored different configurations of LoRA/QLoRA, focusing on the parameters ",(0,i.jsx)(t.code,{children:"r"})," and ",(0,i.jsx)(t.code,{children:"alpha"}),". The ",(0,i.jsx)(t.code,{children:"r"})," parameter, denoting the rank in low-rank adaptation, influences the model's learning capacity and complexity, with higher values offering more flexibility at the risk of overfitting. The ",(0,i.jsx)(t.code,{children:"alpha"})," parameter scales the adaptation's effect, balancing new learning and existing knowledge retention. We found ",(0,i.jsx)(t.code,{children:"r = 256"})," and ",(0,i.jsx)(t.code,{children:"alpha = 512"})," to be effective settings. For more details, see our sample YAML configuration file."]}),"\n",(0,i.jsx)(t.p,{children:"For training the model after installing the repository, you can run the following command:"}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-js",metastring:'title="Command to train LLM with alignment handbook"',children:"ACCELERATE_LOG_LEVEL=info \\\naccelerate launch \\\n --config_file recipes/accelerate_configs/multi_gpu.yaml \\\n --num_processes=1 \\\n scripts/run_sft.py recipes/nitro/sft/config_lora.yaml\n"})}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.strong,{children:"Table 2. Training result of Nitro models."})}),"\n",(0,i.jsxs)(t.table,{children:[(0,i.jsx)(t.thead,{children:(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.th,{children:"Model"}),(0,i.jsx)(t.th,{children:"r"}),(0,i.jsx)(t.th,{children:"alpha"}),(0,i.jsx)(t.th,{children:"Loss"}),(0,i.jsx)(t.th,{children:"Time"})]})}),(0,i.jsxs)(t.tbody,{children:[(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.td,{children:"Nitro E1 LoRA"}),(0,i.jsx)(t.td,{children:"16"}),(0,i.jsx)(t.td,{children:"32"}),(0,i.jsx)(t.td,{children:"1.185"}),(0,i.jsx)(t.td,{children:"3m"})]}),(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.td,{children:"Nitro E3 LoRA"}),(0,i.jsx)(t.td,{children:"16"}),(0,i.jsx)(t.td,{children:"32"}),(0,i.jsx)(t.td,{children:"0.853"}),(0,i.jsx)(t.td,{children:"10m"})]}),(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.td,{children:"Nitro E1 QLoRA"}),(0,i.jsx)(t.td,{children:"256"}),(0,i.jsx)(t.td,{children:"512"}),(0,i.jsx)(t.td,{children:"0.6513"}),(0,i.jsx)(t.td,{children:"6m"})]}),(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.td,{children:"Nitro E3 QLoRA"}),(0,i.jsx)(t.td,{children:"256"}),(0,i.jsx)(t.td,{children:"512"}),(0,i.jsx)(t.td,{children:"0.3123"}),(0,i.jsx)(t.td,{children:"18m"})]})]})]}),"\n",(0,i.jsxs)(t.p,{children:[(0,i.jsx)(t.em,{children:"E: epochs, m: minutes"}),"\n",(0,i.jsx)(t.em,{children:"Note: Training times can vary based on hardware specifications. The provided times are for reference purposes only."})]}),"\n",(0,i.jsx)(t.h2,{id:"4-test-the-model",children:(0,i.jsx)(t.strong,{children:"4. Test the model"})}),"\n",(0,i.jsxs)(t.p,{children:["After training the model, it can be tested locally in the GGUF format using ",(0,i.jsx)(t.a,{href:"https://jan.ai/",children:"Jan"}),". To convert the fine-tuned model to GGUF, you can utilize this convenient ",(0,i.jsx)(t.a,{href:"https://colab.research.google.com/github/mlabonne/llm-course/blob/main/Quantize_Llama_2_models_using_GGUF_and_llama_cpp.ipynb",children:"Google Colab notebook by Maxime Labonne"}),"."]}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.img,{alt:"Finetuned Nitro Respond",src:n(52049).A+"",width:"719",height:"385"})}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.strong,{children:"Fig 2. Using Jan to run a new fine-tuned model."})}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.img,{alt:"Finetuned Nitro Respond 2",src:n(19840).A+"",width:"645",height:"769"})}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.strong,{children:"Fig 3. Model answers a technical question related to Nitro."})}),"\n",(0,i.jsxs)(t.p,{children:["As shown in\xa0",(0,i.jsx)(t.code,{children:"Fig 2"}),", the model successfully learned new information from Nitro's documentation. This indicates that it accurately understands details about Nitro."]}),"\n",(0,i.jsx)(t.h2,{id:"limitations",children:"Limitations"}),"\n",(0,i.jsxs)(t.p,{children:["With this straightforward approach, we show that the model is capable of acquiring new knowledge. However, there's a potential risk of ",(0,i.jsx)(t.a,{href:"https://en.wikipedia.org/wiki/Catastrophic_interference",children:"catastrophic forgetting"}),", leading to the model only being good at answering information about Nitro documentation and losing some other abilities."]}),"\n",(0,i.jsx)(t.p,{children:"In our next blog post, we will further discuss this problem and its solution."}),"\n",(0,i.jsx)(t.h2,{id:"conclusions",children:(0,i.jsx)(t.strong,{children:"Conclusions"})}),"\n",(0,i.jsx)(t.p,{children:"In the blog post, we learn how to fine-tune an open-source model using LoRA/QLoRA with documentation of Nitro\u2019s repository on a local machine. We\u2019ve learned:"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:"Data generation using LangChain to chunk the documentation and use LLM to make QnA pairs from unstructured data."}),"\n",(0,i.jsx)(t.li,{children:"Finetuning the model on generated data using QLoRA with high r and alpha setting."}),"\n",(0,i.jsx)(t.li,{children:"Test the model using Jan."}),"\n"]}),"\n",(0,i.jsx)(t.p,{children:"Combining all those steps, we can train our model on every documentation to create our chatbot."}),"\n",(0,i.jsx)(t.h2,{id:"terminology",children:"Terminology"}),"\n",(0,i.jsx)(t.h3,{id:"what-is-instruction-tuning",children:"What is Instruction tuning?"}),"\n",(0,i.jsxs)(t.p,{children:[(0,i.jsx)(t.a,{href:"https://openai.com/research/instruction-following",children:"Instruction tuning"})," in LLMs involves refining the model's ability to comprehend and execute text-based instructions more effectively. By training on a diverse set of tasks presented as instructions, the model learns to generalize and apply its knowledge across a wide range of requests, enhancing its responsiveness and accuracy in fulfilling user commands. This process fine-tunes the model on a curated dataset where the inputs are explicit instructions and the desired outputs are model-generated responses, leading to improved performance on instruction-following tasks and a better alignment with user expectations."]}),"\n",(0,i.jsx)(t.h3,{id:"what-is-lora",children:"What is LoRA?"}),"\n",(0,i.jsxs)(t.p,{children:[(0,i.jsx)(t.a,{href:"https://arxiv.org/abs/2106.09685",children:"Low-Rank Adaptation"})," (LoRA) is a method that makes fine-tuning large language models more efficient. It breaks down the model's large weight matrices into smaller, trainable matrices. These smaller matrices are the only parts that get updated, leaving the original weights unchanged. This approach significantly reduces the number of parameters that need training, leading to faster and less memory-intensive tuning. Essentially, LoRA is a new way of training LLMs with limited resources but with a little trade-off in performance."]}),"\n",(0,i.jsx)(t.h3,{id:"what-is-langchain",children:"What is Langchain?"}),"\n",(0,i.jsxs)(t.p,{children:[(0,i.jsx)(t.a,{href:"https://www.langchain.com/",children:"LangChain"})," is an open-source framework designed to simplify the creation of applications powered by large language models (LLMs), such as chatbots and agents. Exactly like its name, it's a chaining language for developers to easily apply advanced prompt techniques to get the most out of it. It also provides developers with a standardized interface and pre-built components, making advanced language understanding and generation more accessible. By abstracting the complexities of LLM integration, LangChain enables the rapid development of intelligent, context-aware applications. Its collaborative ecosystem encourages innovation, leveraging the community's collective expertise to expand the possibilities of AI-driven solutions."]}),"\n",(0,i.jsx)(t.h3,{id:"what-is-flash-attention",children:"What is Flash Attention?"}),"\n",(0,i.jsxs)(t.p,{children:[(0,i.jsx)(t.a,{href:"https://github.com/Dao-AILab/flash-attention",children:"Flash Attention"})," is an algorithm that speeds up the core attention mechanism in Transformer language models by restructuring computations. It uses techniques like tiling and recomputation to reduce the high memory costs of attention, enabling models to process longer text sequences."]})]})}function c(e={}){const{wrapper:t}={...(0,s.R)(),...e.components};return t?(0,i.jsx)(t,{...e,children:(0,i.jsx)(h,{...e})}):h(e)}},46743:(e,t,n)=>{n.d(t,{A:()=>i});const i=n.p+"assets/images/about-nitro-77d4d2ab8a69afbe7c249c9c617db8a6.png"},19840:(e,t,n)=>{n.d(t,{A:()=>i});const i=n.p+"assets/images/finetuned-respond-2-3bebfa561e4471585b412e14d605ab7a.png"},52049:(e,t,n)=>{n.d(t,{A:()=>i});const i=n.p+"assets/images/finetuned-response-f85b89b18e2705073f0632e6cd87183a.png"},28453:(e,t,n)=>{n.d(t,{R:()=>r,x:()=>o});var i=n(96540);const s={},a=i.createContext(s);function r(e){const t=i.useContext(a);return i.useMemo((function(){return"function"==typeof e?e(t):{...t,...e}}),[t,e])}function o(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:r(e.components),i.createElement(a.Provider,{value:t},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/dabe0364.24e7cccc.js b/assets/js/dabe0364.24e7cccc.js new file mode 100644 index 00000000..790388b0 --- /dev/null +++ b/assets/js/dabe0364.24e7cccc.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[7572],{62574:(e,t,n)=>{n.r(t),n.d(t,{assets:()=>l,contentTitle:()=>r,default:()=>c,frontMatter:()=>a,metadata:()=>o,toc:()=>d});var i=n(74848),s=n(28453);const a={title:"How to Fine-tune Large Language Models - A Tutorial",description:"Guide on Finetuning Large Language Models with Personal Dataset",slug:"/tutorial/how-to-fine-tune-llms",tags:["Large Language Models","Finetune LLM","Retrieval Augmented Generation","Personal Dataset","Customzied Dataset","Fine Tuning Tutorial"],keywords:["Large Language Models","Finetune LLM","Retrieval Augmented Generation","Personal Dataset","Customzied Dataset","Fine Tuning Tutorial"],authors:[{name:"Rex Ha",title:"LLM Researcher & Content Writer",url:"https://github.com/hahuyhoang411",image_url:"https://avatars.githubusercontent.com/u/64120343?v=4",email:"rex@jan.ai"},{name:"Ed"},{name:"Alan Dao",title:"AI Engineer",url:"https://github.com/tikikun",image_url:"https://avatars.githubusercontent.com/u/22268502?v=4",email:"alan@jan.ai"}]},r=void 0,o={id:"pending-content/blogpost/finetune-with-docs",title:"How to Fine-tune Large Language Models - A Tutorial",description:"Guide on Finetuning Large Language Models with Personal Dataset",source:"@site/docs/pending-content/blogpost/finetune-with-docs.mdx",sourceDirName:"pending-content/blogpost",slug:"/tutorial/how-to-fine-tune-llms",permalink:"/tutorial/how-to-fine-tune-llms",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/pending-content/blogpost/finetune-with-docs.mdx",tags:[{label:"Large Language Models",permalink:"/tags/large-language-models"},{label:"Finetune LLM",permalink:"/tags/finetune-llm"},{label:"Retrieval Augmented Generation",permalink:"/tags/retrieval-augmented-generation"},{label:"Personal Dataset",permalink:"/tags/personal-dataset"},{label:"Customzied Dataset",permalink:"/tags/customzied-dataset"},{label:"Fine Tuning Tutorial",permalink:"/tags/fine-tuning-tutorial"}],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1712027706,formattedLastUpdatedAt:"Apr 2, 2024",frontMatter:{title:"How to Fine-tune Large Language Models - A Tutorial",description:"Guide on Finetuning Large Language Models with Personal Dataset",slug:"/tutorial/how-to-fine-tune-llms",tags:["Large Language Models","Finetune LLM","Retrieval Augmented Generation","Personal Dataset","Customzied Dataset","Fine Tuning Tutorial"],keywords:["Large Language Models","Finetune LLM","Retrieval Augmented Generation","Personal Dataset","Customzied Dataset","Fine Tuning Tutorial"],authors:[{name:"Rex Ha",title:"LLM Researcher & Content Writer",url:"https://github.com/hahuyhoang411",image_url:"https://avatars.githubusercontent.com/u/64120343?v=4",email:"rex@jan.ai"},{name:"Ed"},{name:"Alan Dao",title:"AI Engineer",url:"https://github.com/tikikun",image_url:"https://avatars.githubusercontent.com/u/22268502?v=4",email:"alan@jan.ai"}]}},l={},d=[{value:"1. Environment setup",id:"1-environment-setup",level:2},{value:"2. Data generation",id:"2-data-generation",level:2},{value:"3. Finetuning",id:"3-finetuning",level:2},{value:"4. Test the model",id:"4-test-the-model",level:2},{value:"Limitations",id:"limitations",level:2},{value:"Conclusions",id:"conclusions",level:2},{value:"Terminology",id:"terminology",level:2},{value:"What is Instruction tuning?",id:"what-is-instruction-tuning",level:3},{value:"What is LoRA?",id:"what-is-lora",level:3},{value:"What is Langchain?",id:"what-is-langchain",level:3},{value:"What is Flash Attention?",id:"what-is-flash-attention",level:3}];function h(e){const t={a:"a",code:"code",em:"em",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,s.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(t.p,{children:"Large Language Models (LLMs) are all the rage nowadays, with people using them more and more on a daily basis. As our usage increases, many use cases require the LLM to understand our data, and there are two main approaches we can use:"}),"\n",(0,i.jsxs)(t.ol,{children:["\n",(0,i.jsx)(t.li,{children:"Fine-tuning"}),"\n",(0,i.jsx)(t.li,{children:"Retrieval Augmented Generation (RAG)"}),"\n"]}),"\n",(0,i.jsx)(t.p,{children:"This blog will investigate the first approach to see how fine-tuning performs in understanding some technical product documentation. In detail, you will learn how to:"}),"\n",(0,i.jsxs)(t.ol,{children:["\n",(0,i.jsx)(t.li,{children:"Create a Question and Answer dataset from unstructured data"}),"\n",(0,i.jsx)(t.li,{children:"Fine-tune a model using the dataset"}),"\n",(0,i.jsx)(t.li,{children:"Run the fine-tuned model using Jan"}),"\n"]}),"\n",(0,i.jsx)(t.p,{children:"Let\u2019s get started!"}),"\n",(0,i.jsx)(t.h2,{id:"1-environment-setup",children:"1. Environment setup"}),"\n",(0,i.jsx)(t.p,{children:"Our first step is to install the Hugging Face libraries, which provide the backbone for running large language models (LLMs). Additionally, we'll use LangChain as our go-to tool for efficiently handling and processing our data."}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-js",metastring:'title="Install libraries"',children:'# Install Hugging Face libraries\npip install --upgrade \\\n "transformers==4.36.2" \\\n "datasets==2.16.1" \\\n "accelerate==0.26.1" \\\n "evaluate==0.4.1" \\\n "bitsandbytes==0.42.0"\n\n# Install libraries for generating data\npip install --upgrade \\\n\t"llama-cpp-python" \\\n\t"pydantic==1.10.11" \\\n\t"sentence-transformers" \\\n\t"chromadb" \\\n\t"langchain" \\\n\t"tiktoken" \\\n\t"openai==0.28"\n'})}),"\n",(0,i.jsx)(t.p,{children:"In this guide, we'll utilize ChatGPT to create our training dataset. To leverage Hugging Face and OpenAI resources, we first sign into these platforms using the commands below:"}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-python",metastring:'title="Setting up credential keys"',children:'# Import libaries\nfrom huggingface_hub import login\nimport openai\n\n# Setting up credential keys\nOPENAI_KEY_FILE = "YOUR_KEY_HERE"\nHUGGINGFACE_KEY_FILE = "YOUR_KEY_HERE"\n\nopenai.api_key = open_file(OPENAI_KEY_FILE)\nlogin(token=HUGGINGFACE_KEY_FILE)\n'})}),"\n",(0,i.jsx)(t.h2,{id:"2-data-generation",children:(0,i.jsx)(t.strong,{children:"2. Data generation"})}),"\n",(0,i.jsxs)(t.p,{children:["In this tutorial, the \u201cdata\u201d we will use will be the ",(0,i.jsx)(t.a,{href:"https://nitro.jan.ai/",children:"Nitro documentation"}),". Nitro is an open-source, lightweight (3 MB) inference server to supercharge apps with local AI."]}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.img,{alt:"About Nitro",src:n(46743).A+"",width:"987",height:"882"})}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.strong,{children:"Fig 1. Example of Nitro's documentation."})}),"\n",(0,i.jsx)(t.p,{children:"At a basic level, documentation is just pages filled with just words. If we give these words to the LLM as they are, it can confuse the model about what is important. Moreover, the unstructured nature of plain text doesn't provide the contextual clues that LLMs need to understand and generate meaningful responses."}),"\n",(0,i.jsxs)(t.p,{children:["To teach it, we will use a method called ",(0,i.jsx)(t.a,{href:"#what-is-instruction-tuning",children:(0,i.jsx)(t.strong,{children:'"Instruction tuning"'})}),", which involves refining the model's ability to comprehend and execute text-based instructions more effectively."]}),"\n",(0,i.jsx)(t.p,{children:"But how do we change the text from the documentation into the right data? We need to make pairs of questions and answers."}),"\n",(0,i.jsx)(t.p,{children:"The main idea is that we will break the documents into smaller pieces. Then, we use the LLM to help us develop questions and answers from those pieces."}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsxs)(t.em,{children:["Note: We also open-source the ",(0,i.jsx)(t.a,{href:"https://huggingface.co/datasets/jan-hq/nitro_binarized",children:(0,i.jsx)(t.strong,{children:"Nitro\u2019s documentation training dataset"})})," in our ",(0,i.jsx)(t.a,{href:"https://huggingface.co/jan-hq",children:(0,i.jsx)(t.strong,{children:"Hugging Face Hub"})}),"."]})}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.strong,{children:"Table 1. Example of Question and Answer pairs"})}),"\n",(0,i.jsxs)(t.table,{children:[(0,i.jsx)(t.thead,{children:(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.th,{children:"User"}),(0,i.jsx)(t.th,{children:"Assistant"})]})}),(0,i.jsxs)(t.tbody,{children:[(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.td,{children:"Is Nitro an open-source tool?"}),(0,i.jsx)(t.td,{children:"Yes, Nitro is an open-source tool."})]}),(0,i.jsxs)(t.tr,{children:[(0,i.jsxs)(t.td,{children:["What does the ",(0,i.jsx)(t.code,{children:"max_tokens"})," parameter in the prompt request do?"]}),(0,i.jsxs)(t.td,{children:["The ",(0,i.jsx)(t.code,{children:"max_tokens"})," parameter in the prompt request is used to specify the maximum number of tokens that the response should contain. A token can be as small as one character or as large as one word. For example, if ",(0,i.jsx)(t.code,{children:"max_tokens"})," is set to 100, the response will contain no more than 100 tokens."]})]}),(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.td,{children:"What operating systems does the Nitro library support?"}),(0,i.jsx)(t.td,{children:"The Nitro library supports multiple operating systems including Windows, MacOS, and Linux. This cross-platform compatibility allows it to cater to a wide range of users using different OS."})]}),(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.td,{children:"Is Nitro compatible with OpenAI?"}),(0,i.jsx)(t.td,{children:"Yes, Nitro is compatible with OpenAI. This means that it can work seamlessly with models and applications built using OpenAI's technology."})]}),(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.td,{children:"What is the endpoint '/v1/chat/completions' used for in the curl command?"}),(0,i.jsx)(t.td,{children:"The '/v1/chat/completions' endpoint in the curl command is the specific location in the server where the request is being sent. The purpose of this endpoint is to handle chat completions, likely returning the next predicted response(s) from the chat assistant based on the sent message."})]})]})]}),"\n",(0,i.jsx)(t.p,{children:"You can create your dataset by using the following example code."}),"\n",(0,i.jsx)(t.p,{children:"First, we need to define some helper functions to process the raw documents into QnA pairs."}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-python",metastring:'title="Define helper functions"',children:"# Reads and returns the content of a file.\ndef read_file(filepath):\n with open(filepath, 'r', encoding='utf-8') as file:\n return file.read()\n\n# Generates a response from the ChatGPT model\ndef generate_chatgpt_response(messages, temperature=0.5, model=\"gpt-3.5-turbo\", max_tokens=4096):\n response = openai.ChatCompletion.create(\n model=model, messages=messages, temperature=temperature, max_tokens=max_tokens\n )\n return response['choices'][0]['message']['content']\n\n# Process Markdown files\ndef process_markdown_file(file_path, markdown_splitter, text_splitter):\n with open(file_path, 'r') as file:\n markdown_document = file.read()\n md_header_splits = markdown_splitter.split_text(markdown_document)\n return [chunk for split in md_header_splits for chunk in text_splitter.split_documents([split])]\n \n# Extracts question and answer pairs from a given text\ndef extract_qa_pairs(text):\n qa_pairs = []\n current_pair = {}\n lines = text.split('\\n')\n for line in lines:\n if line.startswith('\"question\": '):\n current_pair['question'] = line.split('\"question\": ')[1].strip(' \",')\n elif line.startswith('\"answer\": '):\n current_pair['answer'] = line.split('\"answer\": ')[1].strip(' \",')\n qa_pairs.append(current_pair)\n current_pair = {}\n return qa_pairs\n\n# Parse QnA pairs as JSON\ndef parse_response(response):\n try:\n parsed_data = json.loads(response)\n return parsed_data['qa_pairs']\n except json.JSONDecodeError:\n return extract_qa_pairs(response)\n \n# Create new column in the dataset\ndef create_message(row):\n return [{\"content\": row['question'], \"role\": \"user\"}, {\"content\": row['answer'], \"role\": \"assistant\"}]\n"})}),"\n",(0,i.jsxs)(t.p,{children:["In this case, we're using the Langchain framework to streamline our work, which gives us different ways to handle the processing step with just a few lines of code. Most of our documents are written in a Markdown format, so we'll use the ",(0,i.jsx)(t.code,{children:"MarkdownHeaderTextSplitter"})," function combined with the ",(0,i.jsx)(t.code,{children:"TokenTextSplitter"})," function to ensure we give the LLM the right amount of text to create questions and answers."]}),"\n",(0,i.jsx)(t.p,{children:"We chose a chunk size of 300 tokens to ensure that when we generate QnA pairs, the generation won't be out of context with the token length of the LLM (normally, it\u2019s capped at 4096 tokens). Also, we applied the overlap technique so that each chunk will contain the context from the previous chunk to make the chunk coherent."}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-python",metastring:'title="Create logic for processing raw data"',children:'# Chunking settings\nHEADERS_TO_SPLIT_ON = [("#", "Header 1"), ("##", "Header 2"), ("###", "Header 3")]\n\n# Main Script Logic\nmarkdown_splitter = MarkdownHeaderTextSplitter(headers_to_split_on=HEADERS_TO_SPLIT_ON)\ntext_splitter = TokenTextSplitter(chunk_size=300, chunk_overlap=30)\n'})}),"\n",(0,i.jsx)(t.p,{children:"For generating QnA pairs, we need to set up the prompt for the LLM to generate the model. For this task, we used GPT-4 to generate QnA pairs but you can also try with any other Local LLMs with a little bit of tweaking on the system prompt."}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{children:"You are a curious assistant. Your task is to make 10 pairs of questions and answers using the given context delimited by triple quotation marks. You are extremely critical and can ask questions at different difficulty levels. You will be more generic and unique and focus on the Nitro library (the given context is from Nitro library). And you can also answer with the code block. Your `answer` must be detailed, comprehensive and step by step guide. Let's think step by step. It's really important to my project. Strictly follow the JSON format for output with 1 field `qa_pairs` and `question`, `answer`.\n"})}),"\n",(0,i.jsx)(t.p,{children:"To generate a diverse dataset, we'll configure the LLM to produce 10 QnA pairs per iteration. We'll execute this process three times to enrich the dataset's variety. After setting everything up, let's generate a training dataset."}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-python",metastring:"title",children:"# Set up directory\nROOT_DIR = \"PATH/TO/YOUR/DATA/FOLDER\"\nCSV_FILE_PATH = \"PATH/TO/SAVE/OUTPUT/CSV/FILE\"\nREPO_NAME = \"YOUR/HUGGINGFACE/REPO\"\n\n# Initialize data frame\nall_chunks = []\nmaster_df = pd.DataFrame(columns=['question', 'answer', 'raw'])\n\n# Split raw text into chunks\nfor subdir, dirs, files in os.walk(ROOT_DIR):\n for file in files:\n if file.endswith('.md'):\n file_path = os.path.join(subdir, file)\n file_chunks = process_markdown_file(file_path,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tmarkdown_splitter,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\ttext_splitter)\n all_chunks.extend(file_chunks)\n\n# Generating QnA pairs with GPT\nfor _ in range(3):\n for chunk in all_chunks:\n conversation = [{'role': 'system', 'content': open_file(SYSTEM_FILE_PATH)},\n {'role': 'user', 'content': str(chunk)}]\n response_verification = chatgpt_completion(conversation)\n qa_pairs = extract_qa_pairs_from_response(response_verification)\n qa_df = pd.DataFrame(qa_pairs)\n qa_df['raw'] = [chunk] * len(qa_df)\n master_df = pd.concat([master_df, qa_df], ignore_index=True)\nmaster_df.to_csv(CSV_FILE_PATH, index=False, encoding='utf-8')\n\n# Deduplication\ndf = pd.read_csv(CSV_FILE_PATH)\ndf_deduplicated = df.drop_duplicates()\ndf_deduplicated['messages'] = df_deduplicated.apply(create_message, axis=1)\n\n# Convert data frame to Huggingface dataset format\nmessages = df_deduplicated['message'].tolist()\nrejected = df_deduplicated['rejected'].tolist()\nhf_dataset = Dataset.from_dict({'messages': messages, 'chosen': messages, 'rejected': rejected})\n\n# Split train and test\nsplit_dataset = hf_dataset.train_test_split(test_size=0.1)\n\n# Push to Hugging Face Hub\nsplit_dataset.push_to_hub(REPO_NAME)\n"})}),"\n",(0,i.jsxs)(t.p,{children:["Please refer to ",(0,i.jsx)(t.strong,{children:"Table 1"})," for samples of the generated dataset."]}),"\n",(0,i.jsx)(t.h2,{id:"3-finetuning",children:(0,i.jsx)(t.strong,{children:"3. Finetuning"})}),"\n",(0,i.jsxs)(t.p,{children:["We use the ",(0,i.jsx)(t.a,{href:"https://github.com/huggingface/alignment-handbook",children:"alignment-handbook"})," from Hugging Face for the training code. This is a well-written library that explains in detail everything about finetuning LLMs. It also provides cutting-edge technology implementation like ",(0,i.jsx)(t.a,{href:"#what-is-lora",children:"LORA/QLoRA"})," or ",(0,i.jsx)(t.a,{href:"#what-is-flash-attention",children:"Flash Attention"})," for efficient training on customer GPUs."]}),"\n",(0,i.jsxs)(t.p,{children:["For installing the alignment-handbook, please follow their ",(0,i.jsx)(t.a,{href:"https://github.com/huggingface/alignment-handbook?tab=readme-ov-file#installation-instructions",children:"installation guide"}),"."]}),"\n",(0,i.jsxs)(t.p,{children:["In our training setup, we selected the ",(0,i.jsx)(t.a,{href:"https://huggingface.co/jan-hq/stealth-v1.3",children:"Stealth v1.3"})," model as the foundation. We explored different configurations of LoRA/QLoRA, focusing on the parameters ",(0,i.jsx)(t.code,{children:"r"})," and ",(0,i.jsx)(t.code,{children:"alpha"}),". The ",(0,i.jsx)(t.code,{children:"r"})," parameter, denoting the rank in low-rank adaptation, influences the model's learning capacity and complexity, with higher values offering more flexibility at the risk of overfitting. The ",(0,i.jsx)(t.code,{children:"alpha"})," parameter scales the adaptation's effect, balancing new learning and existing knowledge retention. We found ",(0,i.jsx)(t.code,{children:"r = 256"})," and ",(0,i.jsx)(t.code,{children:"alpha = 512"})," to be effective settings. For more details, see our sample YAML configuration file."]}),"\n",(0,i.jsx)(t.p,{children:"For training the model after installing the repository, you can run the following command:"}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-js",metastring:'title="Command to train LLM with alignment handbook"',children:"ACCELERATE_LOG_LEVEL=info \\\naccelerate launch \\\n --config_file recipes/accelerate_configs/multi_gpu.yaml \\\n --num_processes=1 \\\n scripts/run_sft.py recipes/nitro/sft/config_lora.yaml\n"})}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.strong,{children:"Table 2. Training result of Nitro models."})}),"\n",(0,i.jsxs)(t.table,{children:[(0,i.jsx)(t.thead,{children:(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.th,{children:"Model"}),(0,i.jsx)(t.th,{children:"r"}),(0,i.jsx)(t.th,{children:"alpha"}),(0,i.jsx)(t.th,{children:"Loss"}),(0,i.jsx)(t.th,{children:"Time"})]})}),(0,i.jsxs)(t.tbody,{children:[(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.td,{children:"Nitro E1 LoRA"}),(0,i.jsx)(t.td,{children:"16"}),(0,i.jsx)(t.td,{children:"32"}),(0,i.jsx)(t.td,{children:"1.185"}),(0,i.jsx)(t.td,{children:"3m"})]}),(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.td,{children:"Nitro E3 LoRA"}),(0,i.jsx)(t.td,{children:"16"}),(0,i.jsx)(t.td,{children:"32"}),(0,i.jsx)(t.td,{children:"0.853"}),(0,i.jsx)(t.td,{children:"10m"})]}),(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.td,{children:"Nitro E1 QLoRA"}),(0,i.jsx)(t.td,{children:"256"}),(0,i.jsx)(t.td,{children:"512"}),(0,i.jsx)(t.td,{children:"0.6513"}),(0,i.jsx)(t.td,{children:"6m"})]}),(0,i.jsxs)(t.tr,{children:[(0,i.jsx)(t.td,{children:"Nitro E3 QLoRA"}),(0,i.jsx)(t.td,{children:"256"}),(0,i.jsx)(t.td,{children:"512"}),(0,i.jsx)(t.td,{children:"0.3123"}),(0,i.jsx)(t.td,{children:"18m"})]})]})]}),"\n",(0,i.jsxs)(t.p,{children:[(0,i.jsx)(t.em,{children:"E: epochs, m: minutes"}),"\n",(0,i.jsx)(t.em,{children:"Note: Training times can vary based on hardware specifications. The provided times are for reference purposes only."})]}),"\n",(0,i.jsx)(t.h2,{id:"4-test-the-model",children:(0,i.jsx)(t.strong,{children:"4. Test the model"})}),"\n",(0,i.jsxs)(t.p,{children:["After training the model, it can be tested locally in the GGUF format using ",(0,i.jsx)(t.a,{href:"https://jan.ai/",children:"Jan"}),". To convert the fine-tuned model to GGUF, you can utilize this convenient ",(0,i.jsx)(t.a,{href:"https://colab.research.google.com/github/mlabonne/llm-course/blob/main/Quantize_Llama_2_models_using_GGUF_and_llama_cpp.ipynb",children:"Google Colab notebook by Maxime Labonne"}),"."]}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.img,{alt:"Finetuned Nitro Respond",src:n(52049).A+"",width:"719",height:"385"})}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.strong,{children:"Fig 2. Using Jan to run a new fine-tuned model."})}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.img,{alt:"Finetuned Nitro Respond 2",src:n(19840).A+"",width:"645",height:"769"})}),"\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.strong,{children:"Fig 3. Model answers a technical question related to Nitro."})}),"\n",(0,i.jsxs)(t.p,{children:["As shown in\xa0",(0,i.jsx)(t.code,{children:"Fig 2"}),", the model successfully learned new information from Nitro's documentation. This indicates that it accurately understands details about Nitro."]}),"\n",(0,i.jsx)(t.h2,{id:"limitations",children:"Limitations"}),"\n",(0,i.jsxs)(t.p,{children:["With this straightforward approach, we show that the model is capable of acquiring new knowledge. However, there's a potential risk of ",(0,i.jsx)(t.a,{href:"https://en.wikipedia.org/wiki/Catastrophic_interference",children:"catastrophic forgetting"}),", leading to the model only being good at answering information about Nitro documentation and losing some other abilities."]}),"\n",(0,i.jsx)(t.p,{children:"In our next blog post, we will further discuss this problem and its solution."}),"\n",(0,i.jsx)(t.h2,{id:"conclusions",children:(0,i.jsx)(t.strong,{children:"Conclusions"})}),"\n",(0,i.jsx)(t.p,{children:"In the blog post, we learn how to fine-tune an open-source model using LoRA/QLoRA with documentation of Nitro\u2019s repository on a local machine. We\u2019ve learned:"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:"Data generation using LangChain to chunk the documentation and use LLM to make QnA pairs from unstructured data."}),"\n",(0,i.jsx)(t.li,{children:"Finetuning the model on generated data using QLoRA with high r and alpha setting."}),"\n",(0,i.jsx)(t.li,{children:"Test the model using Jan."}),"\n"]}),"\n",(0,i.jsx)(t.p,{children:"Combining all those steps, we can train our model on every documentation to create our chatbot."}),"\n",(0,i.jsx)(t.h2,{id:"terminology",children:"Terminology"}),"\n",(0,i.jsx)(t.h3,{id:"what-is-instruction-tuning",children:"What is Instruction tuning?"}),"\n",(0,i.jsxs)(t.p,{children:[(0,i.jsx)(t.a,{href:"https://openai.com/research/instruction-following",children:"Instruction tuning"})," in LLMs involves refining the model's ability to comprehend and execute text-based instructions more effectively. By training on a diverse set of tasks presented as instructions, the model learns to generalize and apply its knowledge across a wide range of requests, enhancing its responsiveness and accuracy in fulfilling user commands. This process fine-tunes the model on a curated dataset where the inputs are explicit instructions and the desired outputs are model-generated responses, leading to improved performance on instruction-following tasks and a better alignment with user expectations."]}),"\n",(0,i.jsx)(t.h3,{id:"what-is-lora",children:"What is LoRA?"}),"\n",(0,i.jsxs)(t.p,{children:[(0,i.jsx)(t.a,{href:"https://arxiv.org/abs/2106.09685",children:"Low-Rank Adaptation"})," (LoRA) is a method that makes fine-tuning large language models more efficient. It breaks down the model's large weight matrices into smaller, trainable matrices. These smaller matrices are the only parts that get updated, leaving the original weights unchanged. This approach significantly reduces the number of parameters that need training, leading to faster and less memory-intensive tuning. Essentially, LoRA is a new way of training LLMs with limited resources but with a little trade-off in performance."]}),"\n",(0,i.jsx)(t.h3,{id:"what-is-langchain",children:"What is Langchain?"}),"\n",(0,i.jsxs)(t.p,{children:[(0,i.jsx)(t.a,{href:"https://www.langchain.com/",children:"LangChain"})," is an open-source framework designed to simplify the creation of applications powered by large language models (LLMs), such as chatbots and agents. Exactly like its name, it's a chaining language for developers to easily apply advanced prompt techniques to get the most out of it. It also provides developers with a standardized interface and pre-built components, making advanced language understanding and generation more accessible. By abstracting the complexities of LLM integration, LangChain enables the rapid development of intelligent, context-aware applications. Its collaborative ecosystem encourages innovation, leveraging the community's collective expertise to expand the possibilities of AI-driven solutions."]}),"\n",(0,i.jsx)(t.h3,{id:"what-is-flash-attention",children:"What is Flash Attention?"}),"\n",(0,i.jsxs)(t.p,{children:[(0,i.jsx)(t.a,{href:"https://github.com/Dao-AILab/flash-attention",children:"Flash Attention"})," is an algorithm that speeds up the core attention mechanism in Transformer language models by restructuring computations. 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",F="data:image/png;base64,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",h="data:image/png;base64,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",n="data:image/png;base64,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",u="data:image/png;base64,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",o="data:image/png;base64,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",E="data:image/png;base64,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",B="data:image/png;base64,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",c="data:image/png;base64,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",p="data:image/png;base64,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",Y="data:image/png;base64,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",V="data:image/png;base64,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",R="data:image/png;base64,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",I="data:image/png;base64,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",v="data:image/png;base64,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",U="data:image/png;base64,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",W="data:image/png;base64,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",K="data:image/png;base64,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RVGGoKUmRAJKvuaTDpx1u81fSm30b19L3k9REigoq/gXcZwKXcylcUF/Wp6okRE4Lp9I6tjyRoqIaUmVGOlkY5xxFW5jfX0W/RYCUVBSz7XabniuNsymcoeJMUmFAd9vsvJVHaj3TAnWG4jnHeWnEVCM/Zl0okV1iEXKDcpNqE5hzLpxFLzFoqXJaTYhM4sMYIfecaVO5nKUtyaKAVWJ1NZzJKPKbcRFYnzxhyitNgFFstt620ShK5gBAXrN6ATeZmeIlFiHCqnA5NEibKk3NhnTRAlB9WDIUoW5crlYpfKVYur8v+NI9iSdM/7A3Axq0ALNc1RQoOm1pbBHzY1wIKYKrQVLBq+bvlY1V5sOIF9EAh/RL4sQcU+8twMUmwbVt5dBW8r0gJYRyJX7tVNNVoKLizwpcc2bwQ/5FASJUvkyr3z7T6lOjmrBq67P+Bs3EOMocRCd3nrFVi1uBp+dX8d1Nfo1QBfFthM74GnuuAkvfi+UcaL23O4P/8xies6k6y0OJQNUdBDJoJC8Tcij6gW3739IzCsSP4p1sqNWdBta6dQjN1oVr19Tx+MSCgdeeFSDs5/Gb7vENunihnROyl+PM6Cmyrgd+vr8w0JeTqyszB7ZkX+c+T0oLRW+XbEMs6N6W1SbHtu/kY5rPuhnMTawlsqpVzXiVgqN2X83EEFl0EFX6fwwMRSudv2szddjiN/+ueAlLvu7Q+3RV4slXv/0UH4yXZqj2fHk6/3wpFPxTt/qNjH2geFX9eN2DqUGEdPprIwK1EB65fXQtPCylhmR/sGRuHN9wfgwMdDILrJxsDQKJz/MuerObsIYh8Dw0MBtGe6NKFdgUTJor3lxg1Xq+6uimVoL9s9Ai++2w9nvhQ/7X/dPQKfZ3PQ1Tsi/NphoaVy4+mdA9tuiP0OwsTUcvj1/WNH0nDt/ItXe6G7T8zC+Yap5fkPgmvm9g79didqtyxBBxCPpcVdsYuprSqDHQ9OgUW3iLdXM6dXQOO8cBMwItBOuXEJQjjzyA/kZBfrqsuEba4KC3IoSwzcG0KMoZ1y47G0D2mvty247m55XeymJ5PPvhjWzrnU0qF8YHtXfrvqC49OhVkzaPLBqMmOd65BR1a88mHUpL1jSJk92jxoGwrEs4XLNn+twEjY4d2whffoFv2oqiyD6sll0DAl+Ave1XP9xdA5/Gcl9hnKMBF9dA73RuOnVJRRNDSnEyVLqJZ7zb01+VBeXI91HT45BK/+ox8GBedDcIPSpcuYURzWcm0sC+laRtnE6yy+dXL+gzy9tw9OnBOjiVWTy8aPcqGi49ZSUnLJyxLKJjrz+Ipa+PFS8QkpVPRF8ynRBbKVm7KJ7jTdISeljce5MGUed6QqN5UCcwfj07II85S5qkhVbjzOhYUciYlgNvGJ3XKyiVgnhMKDANiqrwUAtsj8I+hUvvDIVCqnYFjr7W9dg0tXxCsfKvSpc3pmE2UQSkwOs2wP0IHc/M66SRVinWuy0M5QhjJExkob0Fo4LEpGueNaaOfEuWGoqymH6spgM4J1b8lwbjT0GiMy0Fa58ezk1uYpCowketA5ffEv1wIlhTABZAcq+YkzeiaFtFRuzHjSVtfr4BEzTAqhkj+W7hGa3kc/4a7bqiKr1BoE7TQEi1iSYtuDSv7YfbVSro2WHRVdJ0hLSgwsRSwL0ZEe2Win3HsoKeTK1jf6pFwXN2TpFnbUTrmx/Nmi9Z1wsZPiu1Zwvb3u5R44fVG854d1S46cCreIpQi0dCgxKYRHzDDziVGTpsbK/A7EuK3F8aA0tvR79cAAlAu8dbTQuDcF94hTxamIQCVve+9a/kMQxZBDSZQslH6PAFxKqRzSlHUcLpcD+LwzvHg5KXeIYPvv1U1yyp2JRNZxODxEYR6Hw7X8iTNyiyvRsiQktq2t10Kxi8HMp4zimlh38NY5cvcDkXKHxEqNj9zdI+k4HJZIlllck5Q7JPYf0y9ObNLRKWfXFK7BZYYaSblD4uHfdMMpDc+UonP52kHxWWFU7KOfyn3hyaEMkeWtV7TpN//Oh4Pw1r8GhB+tQKU+88VwKB3OSLlDBisCoJIT8qFlCVGyoHKfpcdLlCKk3ESp0lU2OjqKbaLpSDZRauw219w76NESJUabqdwt9GSJEmJfJp04mFfuTDqBsalmerpEibAGrKHATDrRBgCt9HQJzVlmGGvIO5RWkqnsswCwgZ4woSGo2AfNYU9QbhhT8I0A8Aw9XUITsMpqYyadKAhr2yo3jCn4XAA4hltv6QkTCnMok04stRueo3KbJFNZ6fW7CcIHaK2XZtKJY06/6qncJslUFh3O1fQUCAVoNgIgrjArtwmtx4mI8LTUxXArt0kylZ0GAHsBYAk9bUIirZl0wleS0bdyWzEUfaPxIQeUCMI5zJizLDu8EKLcdiRT2aVGpmgFKTzhwHEAwLj0s8VhPBFIU24vDGvfSE+99LEmVkIDAP4PvkOvNbxeMBwAAAAASUVORK5CYII=",N="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALcAAAC4CAYAAAHWP03cAAAgAElEQVR4nO2dCXwV1b3H/wkJCZUgYFQUEUFMRFSwBQpBFFRQFCsUBcSnogb1WRcQ7aKvQrAuT0ulLq8uVyvSKip+gLqAKAKuFFBBCZRbxbJqNUU2PywJyfv8Jncu586cmXNm7jk35ybz/XzySXLv3Jkz5/7nLP81p66ujlhKyqsGUEjiseLF7CeTJy8pr6oLe1Ie8VhxjnVy1Se2ydVx0uTJ/Vq9972LaH9lheeH97zV2//kfm/W7f2aDmx93ffEfhfwPDk+tGnDeuvH6wR4z48833c5LeVRs/EFyjv2Utc70idnW7lz507qdkqP5P+5RSXcz/j2eYeOna0f5+23atUq+T7Yt+K/uZ/nttzuAr8+Zd/DRepqdlFOXpFcy0VflvPYvYvOdr0ufIguL59o/UY/293EttgP3y/0/BHj6PMVC6lDx9nUYtAy68c+qcydeba8cs0aeuOVp1JOgu+ibs/X1kXYC3jdgWfLu510kus1u+WySMk5WuhsHXtHvPd9W867QFD0DrlEtIr3hkjMnMfml05wnzweK+7B+0CYbnCdPO0zJBpSve4h58sbrJNjMlVxEYYd8VjxcfqXFiXlVSuJqHva7T14Easnck645rvWRPS9qhOzF8DJtaxZSCQtoqVD6KUFPrj07594niCtpQVo36419/XaXXHrt5KlBa91s/62mHssi/QTai+Q7NZOvffXws9wW46ZnJjBy3n79vgdag7FTC7qT/t9TIfnDenNnaVc3YL+Lb/uZt8Ts/CmQ8+Tg0l3jLd+Y/a3sbvh5tv4S+p9K653veYrLVhWUOLE9m3P3546kdjdk3/8ONfnXS23lw3EfHH2iW2RbHHWkhTJsU7U5ifikzv56IN3Uy5sXeSdM0Ufs3B1C1rHnvCYY46h/I9Pp53btiZfk50CuX2OE7JUfvq+1MmccLtl9FW3hjqZ8OTo1w/emaPn5ArZkOuc+f32nUHA7G+3vI39Oew7O3Tpme6J6ydo59KCNCgZFFARjxVPZk/DakS2E9GhhjXYRUqPG9jDvtjLLXwFkwxuJ5e8MI12rmFy8lpS4cB3Qn8+6PaTwoxZ9kWhEbHni7qa3bRv6WWBPs/OkKK1LA/p7a2Tys9XJhuA6bt21z+t/6GM4my7rF61G9i3Tx/X+1jWeumaeCidJdAwNLrfWcOSPWrfINurL734vOuzB75dEuhagfdCfl+raKnh1OaxBJXzQA1nG61CJQA6l5xK1ft2J/+XvQEpUTmw9TXuQ6WC9fHPrPO1anu0dTbZB1Wq4fsrpyQbrQt2EYqOEhF6VIF2dPFbs1NuiN1lWCNEXhHVfv9x8jU8qBhGebsRlpqtr1Gzo4f6Xl9Kxr1kGztDbODefHMBlV97fYp8osE5RSUpymhW3D5autQ1LNo3JCPnUqLCnojtLXvXiUY7ObDtE5eiu8XARcm/02k0yfb43kVnWbMj+ci5feG8Yy6m/K6/TH2ztob2LCzz/XzQxkvJuKjRovfqUftga1U660Sq4c273WX9DqLkDkrFvdMCfQINHyg6iB2adDR+8+bNFHviYetv6ZnTqYIWoWMSgkYECzOSnDmxA2KV/Kd5HWifLN0duh8z//wHqePsPWce8wLWn9aLJeVVUK1cZL+Xd+xoqtk4kzZ9sUJbw2Uay8JVT9iUlFcdR0THZa6JBxGJMM9kgw/IKQgzhLDHDVdTTI/Hisfa/yTH8SzQrVxZUl71rP2P1fAsUghdaf8B7xu+NclQ7E7O1WGRzARZuciClITeuiXtNiHUZ9B6QYGU2+bHVNDz8TCXHx+qx9n1RFD1GY63tV61339ibVLCEFp3KHpNxNJln1pH2JuUoISW8TD6FfsGsRpsf+RBG4KswpSlQR5O22q4dFm9U44tOkEI9HBWf/mU53uwejXvNokrNgU9/8Q1tLY/ssj1miyBetxW7rCqBftvWNS8ZB3ehGGeAz/SFpWygcNcr0FjZT8Dp/R0OxGqIJCo4OvGEAYtlM3U+w56avAeVrgEkoa9aqCGN2v7Y6pJtM3Pu48H6/Gn4iYCiYqX56ssKjfaoZyQS0/uRW+//mLajWctFDh/kOWDtGLfBg9e2EY7YS13FHD5EEix37vs7KTjtErYxtveVUoabvPKC94TULoUtak3pfB8sEM1nOcUpYM1K4P58wgfTozbwFaRsfB8v3udPoS+2bQu5TXnMfAmO6xNK5oRmxq6C6RFZePGza5Gs79hVsHfdqPZtQnr8Yfj4KkG+xH+Douwx5sdfiYd+G6Jr/oNw9p5Q4Za9p7CgQvdB9TV0J63y1zf0OZNm32dAP0Q9njzHg9yX0cDYNrGb3ssdjY6aXHLyUsZo21T+bnnDk6+FnQ2DTSqOE/OrhLZhu1febs1JvNm2rKzR1q/2WGV9ZZUalnGejoI9rck24jZL08PdH7phts9l1/Q0vMYofNMbbX168OFL7k+qz1iAnZ3HiKHmb3vX0R7FvaTuoas/6CyPSfbeOcPQnIGDBru27MjL7/R+u0VE+dEYgL6WHSIq/FhmPq7W+mlGY9Kf1LY4zBtm4iw4XkCLwZVsNtBGYQNz2lxVEYaPnLUmEDHB3o4YUjVjdIJKKewvtf79jtDS7PDbJ6lGl7Yf26Y9gTG7iAR8GyWmzlDKCWDYOsSEdssi8vznYetlIw9GUoJL8QZ3SBDoIeTXYbqQjTh2R2tK9IwNDU+rntsO3N5LzYkOYVHCxtNTlHBmw19A9BPOqgI7D3hpKS8CkFfbh/rpssOIhobjxVLRyCJ3FXgrPDnpt6rAekUjxX/y+sjXuFLWRERZDireMH4TvcguCze0tR7SjGnJbz0LLRl/olIYUk8VmzlVLDdsTzHnAglnFlSXmVFdNpuZB2jftWOFQYJCVcTVB0hBKu+vEw5/sLg6me7DONFFwQ/a7XuazMclxFXLNh2RYZidIhMaFuYa8skodFxbR7aOxwBwLZN2sZ2dnp6eqrvBVwcYLNQBYwxzmuvWbvOuvasOQu0XtsL7R3ujLZ+ZsbBKWPwgF5Uft34lPdh3VKF04i0YOEHVPSjfOvvn57WhUaOukzbtb3Q2uG8aO9BZ5ya8v+kO9wJf7x0hpgH8B6cNfHjp1vkmRq7dklVXU994G7f9usgtMu4DBhOWLycI+AGwNqrYLxudvQFQjNnjYdBEnGEzs9O/M39Um3Gl8jzoFVFRv2XvVzPeI6tsjZlHra7G8s1l7uvwUO3JVerhDvZFMK+eM99D9AVYy6WOnbEpeNo2YcclyS4Le3eR0WHNBeeg6PXVorWDm92xJkpqwQYdKc9/hJ9uGiO0OQdxoGB9YN02kr79E7N5IhhjPdk6RxOKExWkqAEdcwPItEi2KwSsmjeBFVo6XDRrjK/sCUNv2QsXTy0PhfCrNc+pIL8HLp3kjvDqwom/k999LN9vekz59Prs5/zPbOmjlff4WxSCpb5814L7cKpm8cef4buv+93rqvApdXLOzQkajucN3yY3NFOnnt+Ft35m1+6Xlco7eo6nNfZOtML6cQ54eYWnUAFff6q4ooVStbhPMVPtnY2JZ5KljBxjl4o6XDnRkNn+o9MwBsCVUWzaFmH9+3rTv/H4nxkmxe2pC/XuV25O5eeStV7g8Uud+naixbNd0eA8XwYgzyFTq1jWLRs7f28pnk3vp/pVExcdpSN3dn5pbcmS0x4/dgbli/WLk9+HkEx5ONBay8XZYBuRwVKJk0kr9y39L9SXvNbnTg7nZfCzjNySAJ2AkfSQeTvc65AsBdYz3mqyGPDpGilom6VgjHO+dgh17qdEl0EO3wUlr1MOYe47dq8lVBe53HcLOf7V92eVA9ffvVN0psqXkAetI+iXIWSqF2HI6oKsW9OZMZKVrr9pAl68Jr19ToTPAHOAj4sQfOM8oY7r4QHIVGzLLThdbZsRYFOpb0Onuc/H0l9xq+z2VA66GdkaNeh1HVUzYaZUp+VRZmEYy3uXB7aY7MsTgkLM25CrcCmkwkabM/bbYqepADo22leMPwKenzaZM/jvfDLcxyUsJsv3nJU1aSpZEjhBfmH6Wxish/YP7zocy/G33anqy5MGF6drXYYYVGy8VE9zrHUJ5aUXy+rQKeyTYmE6zZLNSaUdDhv2ZRO7oWGJsgONCjKloUocMGCPBPZilM1gdS2xnU4r5qIzvzSuuC1GbocVaDDg+ei8IC3dMqWTreVZk4U2zYX57JpddOFtzyEujQbUOUp4AcSSdtDipKaYU5LPTRyPN20qfDW7grzL3YiJoZ6crqdznPc9FJ/mgxbfFAhp9mxm86wwdA1Ye2cviyNxYjspQKWQRSzvl1UtsALZ2dnu12TJUiOIYY2vFh77tber9yCF8hWzRogGqocgw4C6MNdBR+dBEpuQAeHHZx0LBseDilwpnND3jpePTmTkTSvbSCiZ0WdyyNwh7OkU7E8Wwla5oZFurMTUj3HtNoiDcz0IHsYYWcnpHeR70ERyJdyHBYboTs7St0RGG6aDhuv/CiomfSVYTeSNXilf+LVfMI382lT7zAFtHEOKykbnMQkGHW0Glw7c6fOOyuLJ5mKM7EPW8gsSkKjgUTaKgs7289xUQIabSTzg9mSHa08NGKXFszagrxZhlUOEa5rUSq8zHCa9qjiiCRzo2Ekc1wUdXYGyWj6DRiKEcrBotB32heegaOgz18ot6hE+7VtMjZm8wzENgrjX7gglZJXshq4oKn0ivIjI8OIlVfKJwpXZyY0RFT4ZQVCGXtEz2WCjHS2Hbjkh64saLwUSk6cYYq60N7ZiERzUnHPVK6TuurkirzwaqS6K+s3UPu1eWQ8ew/qeNieSLodHRvy2jy0SjZvHF6w4O3k32xyR9XwxmHW3WzaYzO0XdsLrZ1dvf5J12ts9jNnYkdS+DhXr/OPNBgx1F1/LqQXlDR6M2c6VgE8px1neSC/EuZBcIeJi0PEdQZvUaa1fuN+8Wv3azf8KuV/v2JSbIpSK8FvgCXbrbe4J0vnl8+LclZJRneQvGHj6ssuoEl33MQ9Ho73+5HMQCJTDtJeoHC/F7zkjcgnGLSUXzpktLNlwcQadN2NIWvP1tet+nCy7r6i5DaqMVIRlc4GB8OQzEYGHNOuTejrhKFJa/3aH6lfAcaSNZ2NVBhsPLv9I5siwwSMHLNtvBKAsSACDD/ILRW00OnfV21U1lYZGlyyt/x7B/d1SKyoo1mwXoekt+94ovRnNm3MbAxQRiW74t6Haef272j+vFeT2c54pJO6dOm7b9A110+kBfNSIwhYXQjW1337n0Mfvfc25wz60KqIChNbOHjIcHr68alpX5uXpEsE4oMKeuoppEsmTpAqOhosf39e4M/oTpCurbN5emwRjzyqVqqGX3JloONh5NCp19YyjPjZG8EpPc+mW669hFod2oo+XF5JW/+9g64ec56WrDdIELBqzUYa3P/k5PWef2EWfbvFe4jRZRNV3tlQbcKuxwP65DBFwHVRce80ij3xMPfsOizvSjvbS6eBnHthxtBM4ZXGQ7XlRumYzetorHtN7mhKxNwjs4QTNr+gCpR1Nk/pjxvAujcb4GWVQEJHlS4Wyjqb566QbWkxkKHTCSZ7VSjpbJ7FRDaPq0kg8SNSSrPwqqCERUlnV3Mq5cmmhTYN5O524iyKFxZFkp26psY6ujHhrK/ZoJ3t5MG79VRuyhS6hEVLZ2dLsSEvfnv7NVrOm3Znh3FsmfPqAmsjcVKP0z0LStiwRSy8fnAeUepSWNFx7IndxdfUlZQm41q/m2+roJturPfh2PX9Vsu6wtNto7YYOodX5soJzoO0pTie1+k418hRY6y/f9hef82GyCub9nad59HvlwWNtzVGGv93FxzMC3h86akpJVpYbDVo3a44N6EjcbLJe23Hg7RTxdY9bUuNCh1wzYGD37fzJq2SLP3/RpR3iOfna7etoH0f35D8f93q5dTnjPND717ffHOBxFHB0TKM3FERbKk09Z76MAtINEtBr6fqa9/4dDTIbdvTkrz8Tgf111s2/MMqcQsGDBqutf2yaOnsGc884vkezF4sUFRhQsKkyQ4dhf1fpdzW3T3PwyOvyy+oeY+Dlh7UEsZ8MCPmtv44i8GxOHXdqMynAiUqVp4OW2S0xeoA79vVQtjhAxLN62jMDzlFJdbQwv7tBHOIvUqyKzpRopQWCkb7rTZ4xuLC0+dSToujPD8jizE1J0XFhbx05V4TV9DCQuRThUSVXlvZMALLtJPOpW6vVR6sJykqafPgSZYza3268DoaJjJVKOtsngsA6sQEndlRo9cLVsLgrcrLWB+W80fwPV9V2iK1b2pWxzcJj2GrPMk6pOfkq5Xq3bvcGyt8oSpR1tleG4yJN4n1DOxEysvNzb1etTo9M2A3Vclr+ERBhEFZZ+/nxByGTQZevdbbM9Uu6FnYf67nMWzm+iAaPJ7BQ6UfibbViF+xTB5OL9S8Yy6m/K5ivYgTROuylqOgCdR1xkdqG7PfXRhsqwx/EtYDtWbzLOsLlDVLoTQijmc7OoyHVVAvqiAokWyYjZzWjLAp+aHTwFY7XeByHLZ6h1O6VaXpUFPXXXJSkwHKIyQ6TwdYyVWWSVEVH6nGBukI8Ey39gG203gy0Ok85xke8LrChIzPBSkYKoOqyN8GqecufZ4+fYzwPTG6lnu2o6sqSdTZGSTqbA66yr9o6eyPPspcPHgm4Gk0w6CmKqrDktGYCgORwlgbNTV/NaaJM4G8jmoqoirp7LxjL3W9lq31fuHX4kRVkkdtE2S21vqd/XJqYViV1iBlnY3kKk7gOpZNnHPBKFdrm/d4UNkdKOtsXhYbuI5lMlNNOmD4gHOPE5WBqEqHEZ4ZyfaxMx3n8EGJIpwqUdrZzU92W6KzpZgyj7DVTj3Ygc5epepsTgdLkC2FlHkmvDAh4T5Mzk0U0tRCNkk1L/JYZeq5eKx4Wm6ilGza8Ayj2VQeHMSedJvRvLwGwmCP2e7ZISCidJzZwLnnDna1skZNBk0rrbFdiz3tocRpmIWDe2PAK+lBEOxStOxqJJgTs4A7J+oJAtKNhkixZPLAZGfHY8VzVK5MeI9kNjB6xLkqWzmBrQnpLHjfI1GPtslyQmdl+VBQYnYa+4JrUxOPFbduyh2uKCxvCa+WL3cHmehwb2e6RoxfCjxJrorHirn16D1dGeKx4mFNsXByGia9HQkh9cRXNxKPFf8rUWnZXf5CwNRHng7b6AYlRKQYhtxOoo4mmSL3TkrKq4YREfJbpIQIpBtTYwquOExEOLjdk/HCNHv9LEvgzg5KouI1xrAeid9RCdumCbYVqBMNAV2sSk3kh1LhLimvGpBQJOrzc45ojGwgomcTo/N2VfeXlnAnRuVpkTBHKAbrvMnOfXhQwqwBWyeeMj3FBSMiUoGgj4/Hip8N2i/Swl1SXtUjsV46NOr8iAZiekLQpZYuQuGOhDrCQJZ4KVpZfIW7pLwKO9pg2YQiIjLHBL91OVe4E1qPRdGXFJEFQNPSg7dUcVlwSsqrJkeCHZFFwGbyfcK0m0KKcJeUV2FH6l0jNyLCXL5KrDiSJIU7MWJH+uqIbGYRO4Jbwp3QiEQjdkRjIOl/Yo/cgRXkERGG0rGkvMoqpJSbWKdE6r6IxgSW2KQ1YjIiooE4FIN2XsIFtVGDZK7OFJy5LY6i3CPOVJblxURw38gWyebKRpLyZocPUFLwwXAs4fbOk5+lIGS6evUUcax6ZeILz2tpJX3RXRQ/E/hVE7dhkxrnl07gpqlqDGipi9+Q7FtxfVrpVpt3f9CzCInJ7K+soANbXw9/393uamyJ7yoajXBjCkbifhUgryWvgIyJoMQS6m6rKAedTfctQUWjyJhrFbNUJNiUSLS99z3z3dVx36gdpqrOebbctyxZL9zWyMVJIuak4u77rQBa/KxZ8w9uPqmU8+792lrimIo1U0nc98hRlx2877VxYSFs0+87CFkv3PtX3SY85qFHn6GrrxiZ/L/okOZWZjpRtgyMZKgqYyK8glm8+576wN0H7/tHeVaZz2y+7yBktXAjQV7trn/6HoOR6+IL+X7tKO4iGsGhWcDsYBLVXz4lXIqUXzfe975FBWqs+1aYqK8hyGrhlhld2JGLxzPTxdkiq9c/mU4zlVOz3j9hIR7YSXe4ywiyTLnvMWGzVJWvaiiyVrixmRKN2hN/NUV4nq5djrJGdz+gYjNl9JapcznlvkeFx4wY2k84eqsqF9ZQaClTlgkObBPrsmVzQo68bBy99OJffY+p2fqab2puCP+B7xZT7bZPrM1ekOq2qGIDAxJ+RDp20WyFUXvQGXIFxkdeejXFnvDOnqCqPFtDkbXCXbd3q/CYrscfIXWun3Y/VnhM/ShWL9wQZCxVar9dokQNhxnImoUclkWkFsMDZRtXLHO6YLYaddm10tctO32Ar3BT4r6z1XKbvcItWCYEzRuK4/1KmVg64EVnKdMpy4DRf3/lFKJK8fLKpm9ZP+ljWx0qzG2Y1URlDxN06Hi88JhMCnZocppJf1JmxpJZ/plK1o7cqunQ+RTl5zyifSmdUNqV2revVzd27dSa1n5VH6S9Zctm+ue6tfTtlnVKrykjsE2FSLgV0Krt0fSr28fTsKGD0ypwvnnzZvrN5Ido8VuzM9LutV9+m5HrNBRZuywR+SMHLQW4+pN3Ah3fu+xsqvx8pWXWrvz0fbpizMVpV+6HpmNGbGrSXP7Io49T88JgxS7fWvKp9LE7d+8VHtOsrZriyA1B1o7cOYVHC4/Z9cN+y9TuBCMWvtjK1Z/Tzl0/0Py5z0mV2c0vbEmvzp4p9M9QxbALB9OwCz+zznbN9RNpwTzxiH71FSPovCE/o249yqhb1xOoVevDPJcqMiUNZPrZVLLW5dXyBJRwHFLFPfc9YI3ODY2skKsAQRyFA4PNaAaRvS6vmdK9Yj2N5YcJgg2efnyq5RuSCXKzMGiDJWuFG5EnurEE+9P3015Lq8bSyXPq7aoGRipn7Gk2kVXCDS81RJ2g2FE6IVUyDB4y3BJsU8HmEzNK+44namsh9Pr7V92e6G+xT4tpZM2aO2yMIAql3nLtJVlbe1Q1UDc+/dwsmj79GareG9wolUWxlubHUGJaxOghS35BS5o8+S5j1simA2Efe91EWrd6uXRLsdEs6D/X9LQYZgt3kEh2TM8LXptp3Po4m4Bt4LIrr5Ue0Q0fxc0Ubmtt/Z5c4Gu7DqW08I0XI6FWCHT+5w2RE9q8Y0dTfumtJt6GearAIIINC97y9+dFgq0YGKlgIcWmWgQSAGVCcxUG44Qbga8iwYalEJoCWPAi9AGdOoxXIrDRNzGg2CjhRiowkTM+BHvlcvN0z40VbMxlBNzEQGpjhBsdI8pxB95d+EYk2BkGAj78EnHRDdOWJ8YIt8y0Nv62O4WpGCL08PDvJ1mzph/QbCEUzhSMEW4ZC9jEm67JSFsi+Iwec5WwZ0wy1xvh8mpFiws2kR269MxYe8Kyc+dOy410wXurafmyv9MPu3d6RtogSqegRRGdespJVNb7ZPpJj5My5koblhuuuYRmPPOI76fZQOqGxgx/bonMRn37Bgv4deLnKhrGTxuCjHRlYc3YttBv+mIFvc5pVpeuvejeyRMCBzrffFsFzX4ZJdLdpGu9lVkS1hm0LDHCiCPjmw0fkTde8c+0xCOIQQJrer+lDwT655eOC2SqVkX5dTfTpDvG+56tc+mpUg8aDF+wD4ShQ8fOvp9COorC/nMz3j8cKowYuWWiPbZu2Rzq3FeUT5Q+9pU5b3KF+7nnZ9HkyVOoep9YcJBUp1m7IZTbpjvlND/M91hoiGp3rqUD38yzkvn45eaLPfGw9ePlZgDTuewM8s2mdXRHxUN076QJUsfbyEQrmVSOxAzhRn2aohN8ddz/+Xqd9QUGnaa3/2eL9LFY/7LIjPp57c6j/G6/JcrND9QuStx3M/wceVbK63W719O+lRO4euMtG/5B3U7p4RJy9AuWV7ICvq86+IT9yJMvCY8xKYGPMb4lUAWytVp4hJlO8UCMHDVGeFzpyb3o7dcPJsU854JRnssPeMMV9H2ecgqPDNSWMBz47j3av9J79oELgm2phYffGWedL5xh7CCMIMgu7woHLjTFW9Ac3xIUHcJ6zQ9Mp5cHWGZQYkSDnwSsbPhSnQwYNNwy5bOC3e2007mCjS+tsP+r9V9gBgQbNDu8P7UYtIyan8LPOnXTjdfT1Eeetv7Ghm99/DMrDA0DgRNsUpGfO6hgY69x4fDRwuPyOo8zyg3WKK9ATMMogyECX9Ki+eLUw2EYfdWt9ME7c1yfxHRb0PNP0md0Blc0O/xMovyWKfkFg/pF43NI6cYDQqtDlSg7YmNZWdDHP5lohjHLKxBrUBkB+mLtcmvXHjQ3iQhM6zzBlm2XjVX30hE1hLKBVipkRp+Pv4PkwLYehp/8H/e923/rv6QLA9SnMoKNGdcwwbYwziswyAiJtTSWEKrYtJmvkcnvHMwokVtUYi1drNHaA0tQ+/zFNy0y99xt+casz1csVNYPGDQweMikkDBI9efCyABhCDiEQ4ad27bSxP/5Q0M32QWWGijcyntQURIP+UDwEKhC5PcRhIl3yvUnHl5TBZtMjn6H+6ssE64fKX2sH15qRpEWxw/esiOdpO6121ZwX+9ddk7oczoZMexcqeOspZbBqR+MFG44UclEukN9B02ISk9BWCmdwLhibXTragKfL//ku6xQLIzW+MFoh+VIGGq3r6J9H9/A/eTv71YX6gVDFjaoMNeLQPC2qYWhjIuhlNWYyJijwwJ1o1emVajkmrU7T8t1PamtoX3Lxnq6k0L1F9S4JQv2NFj6+YEHFkswwzAvhlJmOaJTsAEyreIaPPZ/fpeVpAYVi3Unoz/wzXzau+hs2rOwjCvYWGfL1NNMB+jEi9r4u0fUa4LMS9pj1MgtU78drqIffxjO6ScoMF4MHjraMsb1Yc4AAAQ1SURBVHmLwOaw2REDKbd1d8pp0T7YleoOUO32lYHWsJlMzClj5TVQa2KG45SNTDROUGefdIDfxtJ337DO4OdKSsliTHrdPZGr+y/Tn9Q6UvPA9TqV9qKv1nl7Q6J+j2nFoYxalshsIhsqLRrCrOyk8F6mfB3APQBLD1z3y3WfZVywbf53inhQMU1zYszILVPQE6OHCWA54FwSwEz98co1tGrNRqvezcaN8i668EZs2+ZQuvDcvpYJ3cQAaJmHyrSirFlVWaFX758a0Ao+EErTw8TSBfsdvwJVorQcmcacAOEsLgnXVEDMZzZhjHDnGhTBEcHnm81irZFJGCPcMuFJiCiPaDhEUT5wezUJc0ZuCRWSnyoqQi+IIxWRo9ARTAVGqQL9XERtZDo5Qj2xZ18WHpNnWK5uo4Q7r6M4lOn+B6ZlpC0RB4GFUjRrYklikgGHTBNudI5o9N71/dbAcZQR4YELAqotiMjrLD4m0xjnOAUXURHw2BtxqRkpuxozEOwevU4XbiSbHX2Bla/FNIwTbittgkSY2bIPF1qhUNEaXA+In0R+FJFgw2GqebdJRt4DvAIXE5Fxjx1cKPdX8tMZOEknPVhEKgiS7tvvDKleMbyq2VUYuRcb0BAXqJKFalkyIJ9JhBoqK8Up0yg7yvUthnAbq344IOmIk6la6E0BeF3CE1EEAjVqzXWZmBuPFf8rNx4r3k5EfzSgQSnAt1vGBVZniFVTBZFIMgJucPzkZLI3lPFYMWK2NjR4kxIgjlIm4hx+1ZFg6wECjrTRIqpXy+2LMkhFPFa8khzakgGmtE4mjrLfWcOiEtiaQT50UT4Uw9I7YDky2f4nKdxYoyAeoMGalQCjNjpMxMw/m5eIpzEyeZJ4U29IDcol8VjxMPaFFD13QsDbNOQSpUYiinrk5TdmpC0R9VFHouh3JBlq4BqUf4zHil0rD5cRBxvMeKz4OCLyjobViEyo0tVjMpw3pIkzZOjPhR1w4LsG0ygPTOwZXXhaKOOx4rGJZcqOjDVTItUY1oCNPZzLNC4eWiZsUV213hwuHKbHY8U58Vix51Pla37HMiUeK25NRKdlWsi9aHfMiSY0o0khM5hkMDh4FZbOicHXF6kA4YRqpXVJeVUPInqWiLprbX6EURgSjT9dRqBZAkW/J4QcAk4l5VXjE8ryQ0M2NhT79piZdLExI5PkX5MvN0bpsbbeOiihUzvEY8XTbNN9SXnVgISgp+2AhUyofutupBZAjpBo3Z05ps+cL7yWwlzjUGSMT1jO0yKnrk59qsCS8ipoW6BzHBt0CVP95VNUs96/mGrkBZg5ZL0EQ1Qxwx4ONVrmxGPF7lotCtAi3DIk1u+tnYfW7qhseeDreV1Ep/jZ0EEFPXuV7WuQxjchXnjusbZrv6za5nfHOQWH7c7rdNUXHm9DKQH7SWYhov8HcPY4De7gKhoAAAAASUVORK5CYII=",Q="data:image/png;base64,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",m="data:image/png;base64,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",M="data:image/png;base64,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",G="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAAEnNBZRAAAYX0lEQVR4nO2dTWxdx3WAh8+sFVp/pPUWBfwTa9HXaGUKNhLAWUiEFRTZ6MebaGFDpPo2VWObWrgWooXIhQOpQWDKcrx6iEjIBZwCrUmjQBdWIHHRADWcSmxhKH0oIKlxVn2KRFuKYse2inM193ne5cydvzNzZy7nAwyZfO/dO+/w3DNnzpw5Z+jevXtElVa7txve2u00L6p8pPTirXZP5c5L3U5zv/LFW+3eNCHkdeWvdP/bDEkvrjhapZs0MC9cvEaD+eW0ycW2PLRGGn3YkWvJOOfDN7at+V0++kzmpuLodprsBYsvb28Uf2MKeyPK1WGMC3NGnWE88rdf2Sp9TyN/pHX59l/+mfzipiNXQUlbdjw2TJZOjApfF8mc+wc9dXgzOfDMBuuRc8WCcWH24svsL0VfUwcwYNnFu51mqcb85rdfCF97+qUb0pGvscfs6F975w45dvY297VP/rBWF/JrlapifpFzr2wl//xvf8x+VhDZ1JqR80af2wuNv8FUt9Ocz39Yo4r5DUD34aIcg9SHFRVvmhOKhb55+8Sxm8IbgKjgfbwLZ8ATqvrfX/z1/+3Web+1ayEcdYlroT0zKcncdMrjfQ7VtSh+viF6AeMGDZsLi1Q0n92sZyLBDS4QOoc+YXtR+H/eTeDxv2pycRae7QFRO52g4724kjv31g+3kD3jD3Jf+92Nr/QuXmbDi0y8+nvhaw3R7GNLf/ZnAbWCCQIDrt/yu96XVpcemP15fgvrqxQfEtUJe2CyKBqwX5/ZRjaPDHEvBn8bmKBhHuWNmshcC7hwGWUXXnPx4hs+vatuiXnTnEjP+76LTDW1J2gdWu0erAp0dXe122mKVxMKaA8ca6rlsCzz5FmUBu5wsCKE4aEcjBiUU0R6juaEOma222nOsLdAc3BNgBW/4qR3ojiuAZPlc9AmszQ1oZnq9FXF56CPH9xIDu0Z4b4Gk8dTL4rX+oTqvVXIzxSZtD/47z+R53+yWvaWnSgRPx1Ar3lohnYuOXWceZSF33QwjlRWTUN1t8QWeCCx/H2iugxiKbMIppx57w9uBj75vRHyox9sRB0si+7A2fhqqVsPg4aLv1BuorzSlzgMXmTPMaLQIspW3Dy4cWGZ5EnJl1D5crwlVdlqvgg7PpF3CJZmV9lF8hWp7uCLlkXxM2ohZ1iJyKR//tLn0hvKUBj0gpY/XqTV7s0RQl4u/l6yPclF5TMqKmuy5oQl1bvFwfOCFWUDLw5aZbAs1qt84Nwv706/8OzI6xo6rjVIHigD56GbgKELRlxlkRCyT/NjAzte3gZOpXnB5sY5urqdo5t/Mw5OvMmNZDh7OD0t75RDc9KBG8YGrVCRvmwPe8b3oIniX1co8Va7B0/9IRcDU8VkH3hgdqwS0eBFqhLEoEmJ2lQaOySKoTiVjfdbyOMqRWfVT61bn6LE5TljSBgkxgxYN/RsBF0unHpY+ROtdm9yzcB9wqrII9sa2c8QAlHg7MDA6RqzUiAEAl+gLFWVJZd46cLYJ7w02IK63KtEVVRyRlUY9h2t5eWj/vgXd8j8+3e1rtPAWhDYoDtoUpVVsQW81igHDtuHsQ48TlUhvgeOuZXibeCYgyaEXEfb5wRf48W9D0lzlpCYg4GvEEKeVL0esuSM6Haac7BdOK464BAGnaOk4yENOEc68Oe++w1vg1FkiTADnxJ9ZsdjD2T/utp5O/KzT7Ten+dqaeWruFAZXYHwtguvYw8KG24eabfTlOaqi07pmOzF21J8OI+WXY93AgiAiWffrDwkA5k/ppQm14Jhl11XpJNXfvuF8LWF83e5r2k8mEvFXxjnHZrsEMN6k126aeyNKu8sa+/pK8ZFtNGN1koHX5S4ybpRRtkYSmdO1Q0lkzwW9lybyb2lU77K4Hc8ru8dl22fW+8BFS4kPAKKmPa0XfWvrLwC4qWCvPurz0wGx2OFnli8pvoB7aUbcyRy9dWff2o0SsZ+n6bXU1oTsKAkIXx0/YubJ//xzui/S2ZGsOM3Pv1q+ftPb7AO+znLnjCFbrtPI2xVwjM5b5vsgE1lAjfMFsHkQLfTXPR9Uy8Cp1tO/d2bQLmusiKxxWVC1i2fm6YOcPIEoAq8BkIWMYGVyYeRuRdMWosH/J/kzAkh6alKvGRKkpJc7PWKywxP7wmTEbGiunpTPWFQ18kQm7Fup1ka9JWu7WnYs5bC3rPzQew9xJuy5DBhwAwzFT9EWCFD0B6RXexJ8CJcDacrw1oKG/ZqixoNReOwEW2I8AqH1lazQdgnpzYJXz9/+XNy5E29PWIZRU0vlt+ptSeia6th0/NKST1GRQYWS6X1juqE7cSoUEeijP6ZODbR3Xuo0hffUagnK0OlJm0J/UhpJeVUfKOj3bBFK9sBMiQrQpW5hTQusu5xWSYhPwORm5TaBqEg4ycUwAOMNuValZAETgiZadBN24QfdoGG41R6SihRa5MSmDnJqKRYnQ94JYFkOPZSMrwX2bMFivRBWBUWM5aLkSpY8i7wXFChCcwmEVyD6VzgR0376fCAU9FwNt3TUSsUfBwtgKxP1KX9eydGybcEdTlDx4P9zgoDs15K6dkNGRCviFXYPsirMLMnfaRnTkSEeExPB9h4cMxYfnn0VnE5MCmeQ6rH4BrH5gSS4PvN7ErbFtjgKMQZG8ussLkCxxR6WbuwUHDonazwmjAYHwhTYe/sLa3mHuAL+1jtsTgS+GlRJpbKQTarastQDB/K0aiQL4RA6CqnVkXAJAjXkC1mHD2B24tmhEU11Q0lJVklvgFC2CsRdr5HqXIYqmw1i/00YR4cXMTSdviSZZql4suDoG0nZd3K4BJ2oh94JPcFP4ph20UH4HN8hFV1KpqXsEDPPV5W/YDR0pBtSKXzuUeaD5ALJ8dK3wNlFGR/EFsQtBsEPanwvjVYrcUZwcNR3G/K3g+t4MCciMyGLw/FQrt36mgzD+xDVUqpchDPfutvt6z5vUqLHx14kyZot6bApf3AdHB5bFAqfF4MBlPLeQJXvP7pMtfOBmfhPXoSoD/B8g7H8popQ4hX5haaUuIdabXms6HSs/atdg+06HXYrICatMzvUa4vKC4DFW8mZUdDXBFccQMWuuACzRtXKJcLawSY0ODIx6Lt5OaKoAVehFc111f7MCxCLN8BZmY/QgHo07R8R1CaXrnA6WQ65+Gk3ALsmldlu3MqEXgA5TxQfWsdvApcpYlaBaBVilDBV4EapaV/xVj3plLBqcAD1WgZ23XKtOniROCRlFwqw7ouigh0gdesEAK6mUETeI1PMKNqO4rAI7XVukhLc6hgfQKCmpC6C5vQ0hzWEUUrgde5loqAC2zbLxOMBV7nk8sSztocJDYS+DoWds4hU6FrCzwJu88hE/Oi23A4CXstWrEYnTJ6McRDqkLZZVQyKbQ4ZBK2GOUqSkF21I4UpRWpiobXWthv/XALOXV4M8alttLtwVJkrdej2qDVBdKn94w/2O8mhoD0rGtZy/hamxI2V33i2M0s7xGJUtNSpuG1FTZkd7EHAxCFTahpEdagEVXmrGSD1QdweoLN3tU5g6TBJdFbRRpe24r3xbOjps2IZIhWoWsEbhsNCxlej1BIm3bUO5S7xejsJHKIyI6oI0+ehLfsH9DwVrvnvI9NVcBxFxlwHAa8F0TWbDkWTUqQGacYvK147h+8F3gSVN+vS1Hgtd29YfPPVYC8chC87Ym6Yk1fttivkyMWIbDDoo4LCBwEb1EweKDfHPtnRyvBFBrHD9p3/LQpRUJX7Rm1L4VK7EtRY9DfjssEjrH9X3csq771zUpu3GbqKi8VdzBHpbCCLblJqW0iz3PPbFB+r0th5wGt2ttw1WU7cnUJHlnIpPYCV/W/yxqoI5E1DGykCdMvDXpEL+GJBj3lu+7BaD2jQqPOHorNkt4VtZ40ocpzaNRa4KEVdK99WxlfdlmHWgt8x+PqNtxXrdxaCzzECv21FXiILWVIXQUO7qCuwH003YAd/GFauqgWe5kwSUI2bMjNPobpTn00ix9XbWl8TZrDtChXMAIPtc8PFiBw2MY/4euGeZepYlLlemEYinC5qvkKk9epw5tSu5n7LBNXlTnBQwjVLauQbOceVeAQLPrwDdTcvNpQbLM+a/vFYha2p8Z3GZnA87ZVNsSs2R5cwn4rB5SVJtKxu8rwoOHcTlUrplc7oJH7ESKuNZytm8UKPG0me4DtNmhdqw8eTWh45LvbVOBMscMruoVQEPeQ7viTgMUUy/ANTJqmrVJi5t1ffeZy9EvFX/C8lOsYd4qh0yBxnOLGq+DM66eJcpJt/rzzXD0UHHooXMUV+eHWWu4hOTJoRIoramCKouW659hrNPkui14oW2ku2N7VpAWX40lsAFfNp8t6ApV1jLX2WKCJnc7kCZsSWMUGjvzsE+l7Ft6/i3KvAlNlL8piKdtt765zjCOPoct6bsqAjoXnL8m118GEuSorfy1r0XutzB6pAgJQgd3D3EtXrKqPPfyB8lWu6/aQIlSKjEk3IMAe2VaYAAGAMJZO6JfhPvLmoGmAbTuIvX984yuryg8OzvRMqLxJtUWvdaLHFaqBMmCTWXYdMAW2ZTaQu30vqVbn1ImH7zQfz31AWDLzcvzgJtvbKIG4TljV6QmkLHDaYqt0BlYBzEuZ0HWrPlSNbrsC3SbU8xj+edXbcVj228TUaqsT9c+NhS4rg/TjX9wxvbQyGPbbdF4zen5NhS4TNrh2824WIwPY2m8bJ8LYYFKha9l0WWzFdWEBDGw9NqsZitp0Ze+lrKO3o4KNa7Cw3ysY7rG1SwDei85AFs7zTYavnG5D+z3b7TRRDhCj+WBU6NIwwGvvuJ8UyzCw32MYiVI5qE4vDUtKA15QkJGHowqZpkDr9SHsDrPoqwwIeFFtF3oxsCznRQNdZ9xqRCDHXPW5d7asAy+GCp67XcfzSFyvMt+Q2+8JF1rN4nwdDdt1IsEfO3vb9e0HKImRT1FBO+8I4C1wwQi+b2p4E5gsWojIKu0OO+SjNW+O90gRY2pgcl0pbhy/5MiOM/Y71+ZRl614RVTe1z7nXz/87OL3n96QnabD2r2HUMJH17+49R//86fZF54dmUO5qCXBCLwILTsHcebdiscal+kRyIs+26brEqzAQ4bWWX+Clq8apUpB6O9sO3qBcwGm7hY9tJz/e60KExg7ScEL0KqCuzUsWdWs0gcArOgi3ZhLUNalgtNq3pP0vycDGJJLlujh/kWX6+dQqb2CU3dimirzempPXsYqPYc+V3e3p3YKTrtsTa8Dy4zNMlX4Rb+3dUv0Ck595vnUrhkdUPiZkCMkKkSn4NR/njM5upuw4jRV+Kj8+CgUnPrR83Uuch4ZYN0nY/DfQ954GKWr/6TUYbNElT1Iyx6cgrfavRmf9SoTqMxiZgNiEISC023ixbRQrA0r1KpXvulUqYLTkB636XuiNkz5TGcrUomCt9q9+RQFWXcsVFFHzauCJ8VO+FZ0LwqeFDvBwYuiO1Xw5GMnFHDqoztRcBoVuZiSmxKKQPLXbhdRF/QzVK12DxT7UlLuhAagK5da7R56oheaBW+1e3Dc6V2UiyXWOxNYSV4oFpxa7aTcEfNI84GQBn8By5pbWXCaBHU5uSNxAiVkoZsuW7ED6kdWVaeXA/jm4zZJXcYWvNXuwaGCq0m54wOKLEHJAaizzCo3lIcMSLkJ1a2r1P01wsiCp7h2nIAb8t6JUW6tPChkEniFyNPdTnNa4X0DaCs49bdTCmtkHD+4kRzaMyIcNBRxvxJ+V6tl3SpvWi5Kq927lpQ7PsBqlyk3tOyJQLmBXa12TytWrqzgVLlTOmtkXDj1MPnWY+UtVD62bJvhmSepLiqh5KIk5Y4TUG7dmqbQ2xfqTHvod26LkrsiVfDkc8fJ269sHWjvZQooOxR2Dyy6krMk69tTquApWhInsgWlKdCy4bV3bis1D/RIaXRFqOApEzBOYPPGpI+gCbA4hbLrtq3vEBBmJHIVnO5QXq161Al9TPxuDMC6gztTYXvxMd7JfpEkalW+a70w+b2Rytoxwn1PTm3KdkhlPd4cwbXga6RBt+BTXb8I+dEPNq7nr7+PutUD8B731/2OK4GB655SkbCmjceAD56K7sTLr89sc96P8QMaGwd/GzaHoOHmlf+9vwMaUNx8oPhQcYsrKXeEQOsubOUGJd43ezPU+HcZoMN9Be+7KNT3TkTIpIOY9/M/WY1RuTNYX5z1wb0XZUnggLFjyQI7lwHEtm0YVHB6Cj5FTiLkO8jKDcRquRl20b2cvgU3PjGRqBaPrXNjI9PpXMGdtApPuGeHJBXWhEfDOoBsSqbTuYKnbMFIwfa/Cd2VrAHgdvtvnp7Aw4X/XSOy8wsN2qUsESEurHedAN1OFjxRa5KCR4wrFyWC42rKJAWPFIieJBdFTlLwSIGSawk5oOBRda5d74DlhgMFLkN5kGhVB6BC7TAUHW+1e+tdb4Jmy0ND2SFiXznfkeehDJBvgy2nzR7/gOKCRd5M/81/hhqCVW62fFwPCw463Vfwy0nBzegr5uPDWU42/Ltl5OufY6QmFjwroJ8rOBwyfrna8VRDHmrLIxLFn9cbH9QnRPi1goMzHrsfDlYUlBIsKihpzBa0SiIpwiklb4HCpqItxFDFChR5z84NZHLPN6RFJRP61CSCcjr/H1ZDgi3TBjnPxw9uqkuWW9Dkh4gjp18jpXiqPphCm2CpoYBkstJ+qUHIeKDqbFF74DTyBf9jGgSrMmpCj5osMGfYHwbmfOqYL3kfEgXiv1DfIyl3NZy/HFTVWBOWiv01eU5tJeUjwCW5cHIsRT4q5P2wyiKbIC/dRnsSHvU9spOHN/u+ZYIBuqxFvsEzpVxdtttpzuVbnb7YM15+OhzCV1CvA3o5JvCJ3HovieqDl4Uo4Nj9NV+NXmH1zibwi5Lu0zlENwTWtUGH1bI2JkIFB3NPCwJ5K4Rfp5MkMQHuScQ7mONlL5bunFB/fAJ9SBakhwCfiN2TCVkfe+nWIA27TKEOyxLoDZPAA9Y2ETJVDAnyUNr7pg58MEoOjY8SOMDmToS1CIVNp4ooJ3fQCx7AGqENEM46dva203vALBGpZdPiTHzGYkJVuYnuoeNup7kYik8O3bxc/nGgg8Fr79wh+2bre2QVQq+RrWl2qrglLNrpefQGYxCeMRkhJqDgruLi+flHiC48/dKNrF1H3YhohlqlbQIv635QqVe9iFCyD101P4UHiJ0lIG331OHNlaUTwEP2/N+vZg8dRkJaJJmDSj3pRVgpOPm69UkQndmgVohsR1QXkRKAhYe+lD4aP8FDVnQlbBUcrDe4YIFzlO6qG2Ot4OS+Eoz63PUsI0vaOvUwmuLpKALssn6bHpd7dFtDKZcdNlkgigEKfCXbcPlSKSfEVsEnjt0MOfcEXJIneLkluqAoeE6r3ZsL5fAyuC1v/91WFEUHHzy0UJqNgkOE6NWff4o+JiQG2gDagnoGrNtpTtMF6HX/chkErOFTL97IoiC/sdyGhuNydSLQfYQVupBEU27iojYhTCvdTvOJUGLmoOh7Z29lVtg0of/AMxuywxh1AKx3gK4JxLbHMVySIs5O8ULMvNtpDrEnnKvmUYtDy889syGUr2FFYNYbFpFDurFtHZyf6KVuy3Sr3avs1D6E9g5YKmgdzisGZL0Xup2ml76s3o6s0y806VPRjx/cmBWttCHwBZkWAVhvb4qd470mA6PoTiMuELKzUW7YVAHfvS6VViu23tbxbFMqq6QDrgv10Q+42PaHuLLpNj64IxCBqVMZ4Qqs9ypdPA5VpdwkhA4PdDE6SsOLqOdA59+/a5Qsldc4rAuerfcSDfeNulw8qoK60YNFq93bT8tvoeyMwu7m0okxrdJvEFI88uYnjr+pOTobPR52LcFa7w9BoYsEWewvt+rUhTlq68LALuTEq7/XioNDTksdrLhD673KhPmCsNY8grTgImhi14yNZYckKdVWICFHUFQtOHKaASj1JD0XEAVRKTgL7dA8Y5KuCxGWc6+oPSOhJiWpKDhSxiCsi6ZNcrFDIFoFL9Jq9yapwn9T5f2qWYehppWqKLih9YY8ohmdY2EhUxsFL6Jq4R0qilNk49Z4MCHqMReqD21LbRW8CM1Z30//28e+LPPLQ7TiMgUXPJSgzIt1sc4qrBsFF9Fq9yDzcfdfPbWhfeZvNn+35H2Vj5VFpOC379679w8X//jRT//pzk+pMq/rRr/rXsFlnPvl3ektGxu7lv/z85F/+eCzPyeEPFnxkCBv+vLL+x/6csvI0H+98OxIZbuEMZAU3BG0rqPqSehrshJkCQMIIf8PPG6eWS+QRt8AAAAASUVORK5CYII=",x="data:image/png;base64,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",Z="data:image/png;base64,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",X="data:image/png;base64,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",F="data:image/png;base64,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",h="data:image/png;base64,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",n="data:image/png;base64,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",u="data:image/png;base64,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",o="data:image/png;base64,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",E="data:image/png;base64,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",B="data:image/png;base64,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",c="data:image/png;base64,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",p="data:image/png;base64,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",Y="data:image/png;base64,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",V="data:image/png;base64,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",R="data:image/png;base64,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",I="data:image/png;base64,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",v="data:image/png;base64,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",U="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALIAAACyCAYAAAGRjaX+AAAACXBIWXMAAC4jAAAuIwF4pT92AAAV6ElEQVR4nO2dTYxVRRaAixZlQPmLL5mF4wCLecpsbKKRBBd0J7gVmI0uNPzMW+mgsFCILppeaGRcDIwOqxfpjix0w98WErsXmmhmQvdK522EUVfzkG4Q8I9hcp51m/vuq1v31KlTdeveri/pNE2/d2+90+dWnTp1fpbcuXNHYGi2uiPJyzrtxhTmPaiLN1vdgRd12o0lRe8bQg2byFLdKDGja7a6l4QQ61Sv7xOL6uObkr7BUOrC6zlE0Wx1j3oZ+YC2pG+w75kVva/U7+DN2dcrLyy8aEuz1Z0TQqy2vVhW04aare4Ux4VVN3IqFu3F3z13U/vm7eNz+ot32o0R7StSbNt0X9/PX3z9i+7la7N6vkYIcTX9ioca94iP31478M7Tn/4oDr5/Pfvf451243Dyg1bP06T1+4mXr4hrNwdfVjS3WKukcm6RsKqkP1XMykz+PJnz3tmc16svnnrBdPLCTruxW3XlTrsxnHr9AdXCUv4aqrjQoOIrwI687ynGmBYDi3MOH2f+uzyTIvtUzgghHhMp2eY9qanfK82PhQunL2pDcvG0KKwvmmbhwhj9LCJ9jaxWTAshtqZutvALMBOy83fadMgdsWRr7itB5xSLQh5Lm60uzAsnil648eGlSoMnTUpDxpdiLgqcHVsjLsz8hB3wGPoBgdFuG74P8cpfQV9YJwKrC4sCLchSaAqnRwrGTmK9qm6iW2SndaPUXTRL9gFR6rGJCAZGzLEjSF/D2XycOwnBz7qJSfX73D9eavlfonqx6v9U7xm4cN6FilC9x8+aZ4Pc/2inXY7FRDBLQztgTgrtoYxxsKfTbkxwDyK7Syr6i+SqB8KSGVUYdyYUvj9v8Kqt24jlYLg522k3dmgHLZimai6Mtz2YwYPNtG/7ij4rJOMgWvj35//+ubdEf/bvnws/kk6vsRuTAbLerZwb9/385CP3ig9evbtjoKzcQjflla0iuvsvxSwKpoCEQYpFpjZ14E6W2sSPZjNgHeRBf655mIqcf0XvL4I8aN0MgJHw8+/MU2+tXRFRD2LB9lD5e+ysgV4RMxdHDRzcs8dfWlX4uhzvqhIn83SaCxd/WpDekb0rxc4tyxZ+++2V/4nRg99x3GaBvGUcPIgXWe9EY1Ll5VQZTOAIHwtgwAtofehpQjCaSA+iUAw+70KYD4l9b9EmoPBB5NrXcd7D6UGFK9h240LhtE/AxgVg4HQfaC8UouvAC94GnKcuprAMuNnq7ke8jMU/gnHMYKJK/oa41zrLe/TQSjj7INmuhqoAFdN7UJfqWSEEeJl24Yfbx2UhxJTu/UbLdCjOGJR/OCTPkWos1Z+HfRg9WEyODDYFMF5lEIdulkAFyOx+ennPP7dy+V1hJHu/7K4afBsY/4ZwsasucgFgX2MyWOHiobPx/iTo7A52r+ebH97ofc+GmhmSe5LALuEkBg4c5S7o6XCz1Z0wXWZd6nAOEKk1stTFygaBJt92b3Nfdquz4E0Hg13A2dK8aoWbBdPZgP/59wedXDduQhPe+uiGk+uSB/ylJub45KurxcT5W9RLa4EBkw4lntFEYMPhow7qYSSwtNNurMn+J3YhuX7rTp+VxszlTrsxsGlVqkRezG+Wx/ddMR6iwaGNMgVEp8MHOAdg+NrLeb/IHXCn3Tia9zvVQEA90rzx3P0Dr8GSJ11RsOOAN32FvotEl+tiQF8iAnbApW7383YdSpUIwTeBPv2PjhRmVAPeE9D4BnwTKs/PRCCDxh3nJugi2dNPMEHn13bajTmhDwxUDlY7YKEe9KjqCMsg/mJgqlIkj+UOVhQ9dFI9RpObac7bjmEGnHOPudQHOVZkx3g7p9OtXiZ4m9Y4BisW+56OHk5lAOvhOBeW5sHOTrtxJqTPE5waM9hfp5mGwkYlY1OqRlBCdlHmIQRYDiUUJuOCOWkIl3BeEUJgAlAGyJ5VcpwSWy18iEQdSJ0fNrge2ypsIhxMSKqNsElCJuZzD6z6MtwJE0Fky8C+RlU4AwNF2EZC5kqWrwMmwsZWdIjCzYGlJoecr6KAc8CsI1hNhrl0u7uhVheMJpvOyeHtwctjU6fdmMHc3WgzUlDpyAkQAfOnp36jvPTmR+51Fn+kYV46T1ECFjZ2MlWrN2eSew3uN/B/lMxQCL+zyGXc0Gk3Lpm+yWZbnXtyrKMoiAHL8b8Upy6qsLk/RcCCKmS5EOamGHCjCp81qSbEBfXpNRayTOP0amlkhXxubCDoxhtSwYxArRoyBHikrJRTWPhOffLDws8QUwWCftT/ogdslxoNBsAZzAFBEsTrzTTDVMLII1sjE+ZlyrRhE7xGYGdS4bUSpAUMYbdlzMsETlfmZCQbouYqVNgFlRFyujgD1Xwri8oIOT1V2EwT2SfCB96FPHmBFv4NqWkcuAo/1+FdyKoK2hhef/b+hRwTG+sAmxfIyZBMdfbK6CHjU58e6cWO8kSUIWChKQwIXztcOuupjiKBTKbLYlKCiQh4nc7I/Poz6dN6Yy8cd5E4iifNVMjQ96CgPYERzqvbmPRhwAACe4HgesQIGHKw4PplClhQFz7usgBQ6w6EUdRpI6EoyfLQie9719PljRHB11RPYeO0v+TS3QkmG1gUWKBC+4vvXXM1nB5U5aIGt3i36BPHEpTme+jBIS9CzcE4BM30INU45b6mzKsySa2FHE+qlaBOrDFVClEtMRYxhUGVGOsiqNSAAMGdjGCIGj2ANgMujUlbmAlpwtgkT47Ka6z1lXmkuT+VSRncghKwsLSTsZo90JQg53rcscqoAHSDz4HW3CzWKWZ5g6QY7pwhusT7qzZYZOEmBJXHx9gaZJrbx2JDUMdPjBWHWXJ1uahlHh9neWgOQhSy19BcH4SaWw1Jk8aJk6FpcEJwQra1MEIqgZsQ4nRhZcJx1WXnpI4LXxSyDiYtjEIuoHD7jcBbS0ssoQk5OC3kIDQh1zLzNVZu8YB10oVpOTcfwGaGkg7WbHV3ZGoYsXQGttLknJoRu2T1kzIxXkBl+Fm2SNQJ6cq1gizkgqIcq+F026SmELKfEhaja8mT+DyrxFrQ1GRJbNWTrzBFl+SH4DwVWYfJt4OcRGSog5WgKVGdlLIyA8Eg8jozHjJb4SxxJBsfQSwvQZqjTSOISHV7UsAh7FyJBfIOyD+szemLsaBNQgJsBVwnjASNmpOjgAcwmqMxNYiigNWgBY3R5CjgfFARVXFb7YEoZA8UCjnEM7OAQHWnxGpyCK0uQ2MSW1HLxE6OqQx3cZPOIAz6oNYdp8mSJn89LiA9OK+czmam8meGbDB9A8VpD/PzRa4Rg6CgVlvyXQXUqMgmn0PCZF5uNmSiQgImfEGxPWplAgXHKIcB1Dy+o7KkuTGUXGpVzt6RvSvFzi3LKGOnDFuYzsNpqGm/nA72Qi5c/GngJRQBW0IOV6jEZuTCxR8DGIV5AGQC9WTEayGS7JxaQqVZYZP5RdXkUuMjsh01fUHtg0Kp1Vl6qgBX5VoCpCeYosle63VCVYCAIG3EjIQsK856BezckJDuBSMwCezrpfmym2Mutqk5lAAbEWoZSaZiqPOyhdIUJoUiqTq7XgpxxHXoKUXIsOPLNu/mLNvOzGxSVSv5Ayz5w5//67VRC0XIIkfQHE+Fa8CZNFSVcNVsz/y8jg2hAetYZY6fsgvg23seKG0shqypjJAniIVUQ6AyQk47iaoyVSRU8rS6QlNFjxgS4IFKCBkqxiZUbaoQVRHyN93bC/8uywNnQyWEvPH3d/3HnwXmy8BQCSGnGwUcclto2gnehUz1qiWnIYwnz97wLuRTn9LO606+dtcZ9CWx6HRZblP/Qk41yjIh7bs4+P73pGu8+eEN2+GTqJSdnFgW1PLpnGXXDZgZsiwLSYJSwx7Yte1uQxfTY6nTxGnKEqjuONd3MiKPl3aE6rwXqXZxsCkx2V578CNPy/YXA6clfQEMMt5WeSIrT0++4hoRCItyhHT8pVW9RrJQch2LgyYuRilmlIxUNhvKJp4N+ySoTlQsGTUtjVbqwgcdbFx3FWMWMKn2HEXIo4T35GIqBLB1i/qMJMCUxMw05XKUjjnsVQTh8TfRaEyP1Ww/VQ6olWyp08U46+ilRmN2cuAgSptyKuCP5mD7Ta5cTo1PdhIPB22E3vpIvyvTbSggWNyhqUaOTy4lBlUHdH6Er3+9++BAGABwO2cP4mJ6yOA9Ptl5jSGYPlTNEbds7I/oTJppefDOkeOTKXYyOV+EClgTZ8fW9m1AXvzHNWWag2NIeSOmeXysu76Kcsw0Z8Z0uljsAgZeMY24Rws5gFpvIWGkbNjyOBMx3bcfE6XDlMcZjonrSlZjo+4xmsyW4ltDUMoXw7Q8gBFyGd3GagXKTo6tO9Vg616gpotYh2gQE5mYND2Mgpa4rtxiI+jLsiPjEhf+aATTqfsfo16EIgNfzcEPdNqNgTrK0gafcrzRUZ4sU/wwXjuwCzNBozqWO1hcsfdFFa+yeYrJdjLipvPy8cRuPzlrz53F3le6LrXt6WzXI6vNiObm46Z+V2whOyRGSeaym4Tyj8yx4LO0iss8chsoFacE45RhI5j0Z+GyqEJrRFu6kF0QfRceCE3IpAid0AlNyEH2OLWljkIO7mmoY3Pwwk45vqnjwmfddYybEIVsk8OC3un5JMjm4KEhe61MEHpF2QAnUrs77UZw01+IREUuQLYJ5OxiZwq44ckBpYuFuKkupuzyr+s4GojWnajIGuTZWAgBgBxt6WtNVGQ9oShQLVv/cxIVWU8oCgQRulGZNURF1uO02ochUZE1REXOIcAZMCqyhmByqqWv9rBsXJBssC7D/1H69jMQmuKUsjrIgMzDmbyYafl3CebAu3Q/slTgKUTfgll5QOClp1ez1Z0KzLQQlLJHVAxS541qXbmiNEU2UGAVEOC639VRqRxbiE39jVPmTZDm1Bmiy7FUhfauyJYKnIX9GNdTXoUNkzKImgX59zjDuPqUotDeFJlZgVWA6bHDNOhcKu5+6TOuWvWDaRkDcsZ0dfJw9O5VoZ0rsgcFVjGuqqQmNy77MxvKutFT7pxMumE5+67z+Jm9KLQzRS5JgSPh4lSh2RU5KnCkACcKzabIUYEjhrAqNFeWb4g+10g1YPGNWx9RN1vdw1GJIxZ8zCE8jliLWBU1YgNLkUFrRZbFmg5wDCay6Lhs0xcgDfdmb8azjzJSXZQV66i4cL+VnawZCRs4gR3hjpNxciASXXGRHJwdijg9opbZv+S2PZHa4GQWTlPXWAs2oIs+tJh6qHFPr8XU7+T35GfF50Xd+tzYGvHow/15DUkj+M/k9+zPFWWnjyIzPqPfILrstJebpQAlBGV88pFfG8ltlt+TnzkBxXse0d7ctLM2FmiL/m33du/7N/L7F//5paz+8rOddmPY1828pTrBU9lsddf6DlgHpXn92fu93As7c2K65VLorRSZVQKUefTgd07up0EZfegSr8mn0kbyWi9T1UvVFZ8jFHn308uN2vDb4vNeKbzn8nn9lHLzV9vjbMyM7Go2Dgw2/zAWb4os88Fq68E4/emPha8BJfa5QpTIYzKQzBteFFlmZrAEh4TK+Ys4RV5EbMX2L+XA14xcy4L/aYq6vb/xnJ8NZ2Ds8lVJ1Lkiy6ey1vEXmE3erm3LvYwlQE7IswSnOFNksIllK6ratw3H+GnhoOTCjH7WrjFXYUJzqdDoA5FULTT4DgMaliF4Qc+2YJf6sk1feGe+0HMBhzMnX1vtddOHPW0skXkZOTknv19KvrDlHXqK7KBIRzD4VGTg+q074vm/zhfO0mAz+zI3KqDIFPqK8wxJY/xqTFfiAWbas2NrxLZN9+VeD47NF7HNzAXUJTndbHV7M/aQLFYSYQRmZZ0X4+29K6O4+YAeKyOxPrIDJs7fyr0oxH5sG86frSM0oiI74FTOKR+YFC6i3iJRkdkBFxuEUqqIJoU7oiIzM5ljVkSTwi1RkRmB2F+VHzmaFO6JiszIqU9+UF4smhTuqb0iwyxZNhsfLq/nECYOpA7UX5FzNl4ugBNEMCOyvHvuprcxZLl2a3E0za+9IvvOQD47tnbg/8DkKCtgqCi8tC4sCht58kL+AQU3kCN3RGETv/nhDW9jSJNnt9eNRaHIvpf2nVuW9dxtacDEeesjv8pcpknjm0WhyNdu3vGuROBugyIuaeDo2tfmE+6z2BR5N1eN2pABJcIkiHJy8tXBxlEvvnfNy70xhWJqAjTRnFoIrE+17hqWX7Vs3wXK5aLKUB7w8Bx8/3rfb13HIo8euurVW+OZaRmAfyZdEJFcMksqfvprWGaOBB/XDJsxsGN9cejE932bLijb9YFitrYFwkefGZ+rghLPprJB5pLkZJteIq6rcQZbKxkC34+/tMrLvUDBHt93ZeFnF6vCl1//0lPiQKlFNc5gS8vC4QUoVbYqpguSdCMXs3F2xg+My512g6W9gg7nXgtpx0y6vg8F8GbALLZ9fK43a/qAs74F2N/wgATuKx5BvMYaL+432c3+so97UYBEUVj6YWZzQRLvAOYMx+wPZsQTL18Z2EQGyB7TJvdUfEazDMsU72C9ITCzwRd3yn6SUf2yZTa3ygMSMOM+mqkneCv0Le5Wr/daH9mGXhzx3pXWAfFwMAHKTNlcwsEG+J5LKtZNBXy7+33e0Ksiiwq3+4VTuiN7HiB5G6BwC9jGWLMC7HWYeSsc8MPSltcEr4Gysv1CJetngG82OS2DmRpCNrGHGut/e0+hEoPdC4FFFe8XknDY1yYvwWcPkZm6tiuD2Rrs37xDFlDSrCInsRA1j07zNjP78COX0gSnbMBDAZvGFcuWiKf+eG+vRMD5i/kZ1jXGS1Mc1yd7tZ2FI8Y4bVPmqvNpbBQZUeFsdmZV5Ni6N4KEvZUvmyLHWThiCGsgEYsiy9KetW6vEHEGi+1sHWvRbHUPRyWOWMDi0eIIGvISFBKpLSzBZNaKLI320dqKOeKSSa5YZW6vRdzwRTBMytBeNqIfOeITdgVOcH2yV7ZCz0q/dq0zwzXMygTPNTKIp6zP70yBE7wEDXlW6LOybVWuf1KOZ3/NDm7mZYu5w7qsDBn7MuFJqZ0rcILvwHpXCg073x2ddmOGegH5B95fkTBTUNqjoJA2qUSyvbKLzrTeFDjBe2C94FVoSKc5zHCdPpqtLsxs27mvy8QG7jy4Zqs7LGdp2xXKuwInlKLICUSFnpazr9MiDs1WN8TCwk4e3DTEv0lpCpxQqiInIITX167V05hCTMnyFqguA8AmClam0hU4IQhFTpDC2yHLcAlZ34ts91qOBWa+sTLuncN8p91w1l1fR+bvktRdC+pENyhFDglpN14MaEhnO+3GjgDGESSxq1MOciUIqTarN7OqikRF1hOS8kRF1hAVWY/X2gwaZl17aapOVGQ9ocyCcTYuICqyBjkLTgcwlFBWhmCJilxM2T1WjvkuP1VFovsNiWw1sdtTKSjw0U75rGZZaYQQ/wcmEHzGYr790wAAAABJRU5ErkJggg==",W="data:image/png;base64,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",K="data:image/png;base64,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RVGGoKUmRAJKvuaTDpx1u81fSm30b19L3k9REigoq/gXcZwKXcylcUF/Wp6okRE4Lp9I6tjyRoqIaUmVGOlkY5xxFW5jfX0W/RYCUVBSz7XabniuNsymcoeJMUmFAd9vsvJVHaj3TAnWG4jnHeWnEVCM/Zl0okV1iEXKDcpNqE5hzLpxFLzFoqXJaTYhM4sMYIfecaVO5nKUtyaKAVWJ1NZzJKPKbcRFYnzxhyitNgFFstt620ShK5gBAXrN6ATeZmeIlFiHCqnA5NEibKk3NhnTRAlB9WDIUoW5crlYpfKVYur8v+NI9iSdM/7A3Axq0ALNc1RQoOm1pbBHzY1wIKYKrQVLBq+bvlY1V5sOIF9EAh/RL4sQcU+8twMUmwbVt5dBW8r0gJYRyJX7tVNNVoKLizwpcc2bwQ/5FASJUvkyr3z7T6lOjmrBq67P+Bs3EOMocRCd3nrFVi1uBp+dX8d1Nfo1QBfFthM74GnuuAkvfi+UcaL23O4P/8xies6k6y0OJQNUdBDJoJC8Tcij6gW3739IzCsSP4p1sqNWdBta6dQjN1oVr19Tx+MSCgdeeFSDs5/Gb7vENunihnROyl+PM6Cmyrgd+vr8w0JeTqyszB7ZkX+c+T0oLRW+XbEMs6N6W1SbHtu/kY5rPuhnMTawlsqpVzXiVgqN2X83EEFl0EFX6fwwMRSudv2szddjiN/+ueAlLvu7Q+3RV4slXv/0UH4yXZqj2fHk6/3wpFPxTt/qNjH2geFX9eN2DqUGEdPprIwK1EB65fXQtPCylhmR/sGRuHN9wfgwMdDILrJxsDQKJz/MuerObsIYh8Dw0MBtGe6NKFdgUTJor3lxg1Xq+6uimVoL9s9Ai++2w9nvhQ/7X/dPQKfZ3PQ1Tsi/NphoaVy4+mdA9tuiP0OwsTUcvj1/WNH0nDt/ItXe6G7T8zC+Yap5fkPgmvm9g79didqtyxBBxCPpcVdsYuprSqDHQ9OgUW3iLdXM6dXQOO8cBMwItBOuXEJQjjzyA/kZBfrqsuEba4KC3IoSwzcG0KMoZ1y47G0D2mvty247m55XeymJ5PPvhjWzrnU0qF8YHtXfrvqC49OhVkzaPLBqMmOd65BR1a88mHUpL1jSJk92jxoGwrEs4XLNn+twEjY4d2whffoFv2oqiyD6sll0DAl+Ave1XP9xdA5/Gcl9hnKMBF9dA73RuOnVJRRNDSnEyVLqJZ7zb01+VBeXI91HT45BK/+ox8GBedDcIPSpcuYURzWcm0sC+laRtnE6yy+dXL+gzy9tw9OnBOjiVWTy8aPcqGi49ZSUnLJyxLKJjrz+Ipa+PFS8QkpVPRF8ynRBbKVm7KJ7jTdISeljce5MGUed6QqN5UCcwfj07II85S5qkhVbjzOhYUciYlgNvGJ3XKyiVgnhMKDANiqrwUAtsj8I+hUvvDIVCqnYFjr7W9dg0tXxCsfKvSpc3pmE2UQSkwOs2wP0IHc/M66SRVinWuy0M5QhjJExkob0Fo4LEpGueNaaOfEuWGoqymH6spgM4J1b8lwbjT0GiMy0Fa58ezk1uYpCowketA5ffEv1wIlhTABZAcq+YkzeiaFtFRuzHjSVtfr4BEzTAqhkj+W7hGa3kc/4a7bqiKr1BoE7TQEi1iSYtuDSv7YfbVSro2WHRVdJ0hLSgwsRSwL0ZEe2Win3HsoKeTK1jf6pFwXN2TpFnbUTrmx/Nmi9Z1wsZPiu1Zwvb3u5R44fVG854d1S46cCreIpQi0dCgxKYRHzDDziVGTpsbK/A7EuK3F8aA0tvR79cAAlAu8dbTQuDcF94hTxamIQCVve+9a/kMQxZBDSZQslH6PAFxKqRzSlHUcLpcD+LwzvHg5KXeIYPvv1U1yyp2JRNZxODxEYR6Hw7X8iTNyiyvRsiQktq2t10Kxi8HMp4zimlh38NY5cvcDkXKHxEqNj9zdI+k4HJZIlllck5Q7JPYf0y9ObNLRKWfXFK7BZYYaSblD4uHfdMMpDc+UonP52kHxWWFU7KOfyn3hyaEMkeWtV7TpN//Oh4Pw1r8GhB+tQKU+88VwKB3OSLlDBisCoJIT8qFlCVGyoHKfpcdLlCKk3ESp0lU2OjqKbaLpSDZRauw219w76NESJUabqdwt9GSJEmJfJp04mFfuTDqBsalmerpEibAGrKHATDrRBgCt9HQJzVlmGGvIO5RWkqnsswCwgZ4woSGo2AfNYU9QbhhT8I0A8Aw9XUITsMpqYyadKAhr2yo3jCn4XAA4hltv6QkTCnMok04stRueo3KbJFNZ6fW7CcIHaK2XZtKJY06/6qncJslUFh3O1fQUCAVoNgIgrjArtwmtx4mI8LTUxXArt0kylZ0GAHsBYAk9bUIirZl0wleS0bdyWzEUfaPxIQeUCMI5zJizLDu8EKLcdiRT2aVGpmgFKTzhwHEAwLj0s8VhPBFIU24vDGvfSE+99LEmVkIDAP4PvkOvNbxeMBwAAAAASUVORK5CYII=",N="data:image/png;base64,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",Q="data:image/png;base64,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",m="data:image/png;base64,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",M="data:image/png;base64,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",G="data:image/png;base64,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",x="data:image/png;base64,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",Z="data:image/png;base64,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",X="data:image/png;base64,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\ No newline at end of file diff --git a/assets/js/dfd62110.44564d28.js b/assets/js/dfd62110.44564d28.js deleted file mode 100644 index a0239ed6..00000000 --- a/assets/js/dfd62110.44564d28.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[6895],{68868:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>h,contentTitle:()=>r,default:()=>d,frontMatter:()=>s,metadata:()=>o,toc:()=>l});var i=t(74848),a=t(28453);const s={title:"Rag Is Not Enough: Lessons from Beating GPT-3.5 on Specialized Tasks with Mistral 7B",description:"Creating Open Source Alternatives to Outperform ChatGPT",slug:"/blog/surpassing-chatgpt-with-open-source-alternatives",tags:["Open Source ChatGPT Alternatives","Outperform ChatGPT"],authors:["hahuyhoang411","0xsage","automaticcat"],date:new Date("2024-03-17T00:00:00.000Z")},r=void 0,o={id:"pending-content/blogpost/surpassing-chatgpt-with-open-source-alternatives",title:"Rag Is Not Enough: Lessons from Beating GPT-3.5 on Specialized Tasks with Mistral 7B",description:"Creating Open Source Alternatives to Outperform ChatGPT",source:"@site/docs/pending-content/blogpost/02-surpassing-chatgpt-with-open-source-alternatives.mdx",sourceDirName:"pending-content/blogpost",slug:"/blog/surpassing-chatgpt-with-open-source-alternatives",permalink:"/blog/surpassing-chatgpt-with-open-source-alternatives",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/pending-content/blogpost/02-surpassing-chatgpt-with-open-source-alternatives.mdx",tags:[{label:"Open Source ChatGPT Alternatives",permalink:"/tags/open-source-chat-gpt-alternatives"},{label:"Outperform ChatGPT",permalink:"/tags/outperform-chat-gpt"}],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1711818688,formattedLastUpdatedAt:"Mar 30, 2024",sidebarPosition:2,frontMatter:{title:"Rag Is Not Enough: Lessons from Beating GPT-3.5 on Specialized Tasks with Mistral 7B",description:"Creating Open Source Alternatives to Outperform ChatGPT",slug:"/blog/surpassing-chatgpt-with-open-source-alternatives",tags:["Open Source ChatGPT Alternatives","Outperform ChatGPT"],authors:["hahuyhoang411","0xsage","automaticcat"],date:"2024-03-17T00:00:00.000Z"}},h={},l=[{value:"Abstract",id:"abstract",level:2},{value:"Selecting a Strong Foundation Model",id:"selecting-a-strong-foundation-model",level:2},{value:"Cost-Effectively Improving the Base Model",id:"cost-effectively-improving-the-base-model",level:2},{value:"DPO Finetuning",id:"dpo-finetuning",level:2},{value:"Using Our Technical Documentation",id:"using-our-technical-documentation",level:2},{value:"Generating a Training Dataset for GPT-4",id:"generating-a-training-dataset-for-gpt-4",level:2},{value:"Training",id:"training",level:2},{value:"Improving Results With Rag",id:"improving-results-with-rag",level:2},{value:"Benchmarking the Results",id:"benchmarking-the-results",level:2},{value:"Conclusion",id:"conclusion",level:2},{value:"References",id:"references",level:2}];function c(e){const n={a:"a",code:"code",em:"em",h2:"h2",img:"img",li:"li",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,a.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(n.h2,{id:"abstract",children:"Abstract"}),"\n",(0,i.jsxs)(n.p,{children:["We present a straightforward approach to adapting small, open-source models for specialized use cases, that can surpass GPT 3.5 performance with RAG. 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In our case, this is likely exacerbated by our lack of access to Mistral\u2019s original training dataset and various compression techniques used in our approach to keep the model small."}),"\n",(0,i.jsx)(n.h2,{id:"selecting-a-strong-foundation-model",children:"Selecting a Strong Foundation Model"}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.a,{href:"https://huggingface.co/mistralai/Mistral-7B-v0.1",children:"Mistral 7B"})," outshines both ",(0,i.jsx)(n.a,{href:"https://huggingface.co/meta-llama/Llama-2-7b",children:"Meta's Llama-2 7B"})," and ",(0,i.jsx)(n.a,{href:"https://huggingface.co/google/gemma-7b",children:"Google's Gemma 7B"})," in key benchmarks, making it our choice for a base model. Starting with a strong foundation like Mistral allowed us to achieve greater accuracy in our specialized adaptations."]}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.img,{alt:"Mistral vs LLama vs Gemma",src:t(5760).A+"",width:"1489",height:"790"})}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.em,{children:"Figure 1."})," Mistral 7B excels in benchmarks, ranking among the top foundational models."]}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsxs)(n.em,{children:["Note: we are not sponsored by the Mistral team. Though many folks in their community do like to run Mistral locally using our desktop client - ",(0,i.jsx)(n.a,{href:"https://jan.ai/",children:"Jan"}),"."]})}),"\n",(0,i.jsx)(n.h2,{id:"cost-effectively-improving-the-base-model",children:"Cost-Effectively Improving the Base Model"}),"\n",(0,i.jsx)(n.p,{children:"Mistral alone has known, poor math capabilities, which we needed for our highly technical use case. Thus, we tested all model variants on top of Mistral, from foundation models to finetunes to model merges, in order to find a stronger base model to receive our own finetuning."}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.img,{alt:"Merged model vs finetuned models",src:t(11793).A+"",width:"1490",height:"790"})}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.em,{children:"Figure 2."})," The merged model, Stealth, doubles the mathematical capabilities of its foundational model while retaining the performance in other tasks."]}),"\n",(0,i.jsx)(n.p,{children:"We found merging models is quick and cost-effective, enabling fast adjustments based on the result of each iteration."}),"\n",(0,i.jsxs)(n.p,{children:["We ended up with ",(0,i.jsx)(n.a,{href:"https://huggingface.co/jan-hq/stealth-v1.1",children:"Stealth 7B v1.1"}),", a ",(0,i.jsx)(n.a,{href:"https://github.com/Digitous/LLM-SLERP-Merge",children:"SLERP"})," merge of Mistral with the following:"]}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.a,{href:"https://huggingface.co/WizardLM/WizardMath-7B-V1.1",children:"WizardMath"})," for its math capabilities."]}),"\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.a,{href:"https://huggingface.co/WizardLM/WizardCoder-Python-7B-V1.0",children:"WizardCoder"})," for its coding capabilities."]}),"\n",(0,i.jsxs)(n.li,{children:["Our own ",(0,i.jsx)(n.a,{href:"https://huggingface.co/jan-hq/trinity-v1.2",children:"Trinity"})," model for its versatility across general tasks."]}),"\n"]}),"\n",(0,i.jsx)(n.p,{children:"This particular combination yielded the best tradeoff across mathematical & technical reasoning while retaining the most pre-merge performance on general tasks."}),"\n",(0,i.jsx)(n.h2,{id:"dpo-finetuning",children:"DPO Finetuning"}),"\n",(0,i.jsx)(n.p,{children:"Merging different LLMs can lead to a mixed answering style because each model was originally trained on different types of data."}),"\n",(0,i.jsxs)(n.p,{children:["Thus, we applied Direct Preference Optimization (",(0,i.jsx)(n.a,{href:"https://arxiv.org/abs/2305.18290",children:"DPO"}),") using the ",(0,i.jsx)(n.a,{href:"https://huggingface.co/datasets/Intel/orca_dpo_pairs",children:"Intel's Orca DPO pairs"})," dataset, chosen for its helpful answering style in general, math and coding concentration."]}),"\n",(0,i.jsxs)(n.p,{children:["This approach results in a final model - ",(0,i.jsx)(n.a,{href:"https://huggingface.co/jan-hq/stealth-v1.2",children:"Stealth 7B v1.2"}),", with minimal loss, and realign to our technical preferences."]}),"\n",(0,i.jsx)(n.h2,{id:"using-our-technical-documentation",children:"Using Our Technical Documentation"}),"\n",(0,i.jsx)(n.p,{children:"With the base model ready, we started on our specific use case."}),"\n",(0,i.jsx)(n.p,{children:"Jan is an open-source & bootstrapped project - at one point during our unanticipated growth, we received 1 customer support ticket per minute, with no one to handle customer service."}),"\n",(0,i.jsx)(n.p,{children:"So, we directed our efforts toward training a model to answer user questions based on existing technical documentation."}),"\n",(0,i.jsxs)(n.p,{children:["Specifically, we trained it on Nitro ",(0,i.jsx)(n.a,{href:"https://nitro.jan.ai/docs",children:"docs"}),". For context, Nitro is the default inference engine for Jan. It\u2019s a serious server implementation of LlamaCPP, written in C++, with multimodal, queues, and other production-level server capabilities."]}),"\n",(0,i.jsx)(n.p,{children:"It made an interesting corpus because it was rife with post-2023 technical jargon, edge cases, and poor informational layout."}),"\n",(0,i.jsx)(n.h2,{id:"generating-a-training-dataset-for-gpt-4",children:"Generating a Training Dataset for GPT-4"}),"\n",(0,i.jsxs)(n.p,{children:["The first step was to transform Nitro\u2019s unstructured format into a synthetic Q&A dataset designed for ",(0,i.jsx)(n.a,{href:"https://arxiv.org/pdf/2109.01652.pdf",children:"instruction tuning"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["The text was split into chunks of 300-token segments with 30-token overlaps. This helped to avoid a ",(0,i.jsx)(n.a,{href:"https://arxiv.org/abs/2307.03172",children:"lost-in-the-middle"})," problem where LLM can\u2019t use context efficiently to answer given questions."]}),"\n",(0,i.jsxs)(n.p,{children:["The chunks were then given to GPT-4 with 8k context length to generate 3800 Q&A pairs. The ",(0,i.jsx)(n.a,{href:"https://huggingface.co/datasets/jan-hq/nitro_binarized_v2",children:"training dataset"})," is available on HuggingFace."]}),"\n",(0,i.jsx)(n.h2,{id:"training",children:"Training"}),"\n",(0,i.jsxs)(n.p,{children:["The training was done with supervised finetuning (SFT) from the ",(0,i.jsx)(n.a,{href:"https://github.com/huggingface/alignment-handbook",children:"Hugging Face's alignment handbook"})," based on the ",(0,i.jsx)(n.a,{href:"https://github.com/huggingface/alignment-handbook/tree/main/recipes/zephyr-7b-beta",children:"Huggingface's Zephyr Beta"})," guidelines."]}),"\n",(0,i.jsxs)(n.p,{children:["We used consumer-grade, dual Nvidia RTX 4090s for the training. The end-to-end training took 18 minutes. We found optimal hyperparameters in LoRA for this specific task to be ",(0,i.jsx)(n.code,{children:"r = 256"})," and ",(0,i.jsx)(n.code,{children:"alpha = 512"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["This final model is publicly available at ",(0,i.jsx)(n.a,{href:"https://huggingface.co/jan-hq/nitro-v1.2-e3",children:"https://huggingface.co/jan-hq/nitro-v1.2-e3"}),"."]}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.img,{alt:"Using LLM locally",src:t(70595).A+"",width:"1607",height:"896"})}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.em,{children:"Figure 3."})," Using the new finetuned model in ",(0,i.jsx)(n.a,{href:"https://jan.ai/",children:"Jan"}),"."]}),"\n",(0,i.jsx)(n.h2,{id:"improving-results-with-rag",children:"Improving Results With Rag"}),"\n",(0,i.jsxs)(n.p,{children:["As an additional step, we also added ",(0,i.jsx)(n.a,{href:"https://blogs.nvidia.com/blog/what-is-retrieval-augmented-generation/",children:"Retrieval Augmented Generation (RAG)"})," as an experiment parameter."]}),"\n",(0,i.jsxs)(n.p,{children:["A simple RAG setup was done using ",(0,i.jsx)(n.strong,{children:(0,i.jsx)(n.a,{href:"https://www.llamaindex.ai/",children:"Llamaindex"})})," and the ",(0,i.jsx)(n.strong,{children:(0,i.jsx)(n.a,{href:"https://huggingface.co/BAAI/bge-base-en-v1.5",children:"bge-en-base-v1.5 embedding"})})," model for efficient documentation retrieval and question-answering. The RAG implementation is publicly available at at ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/rag/nitro_rag.ipynb",children:"https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/rag/nitro_rag.ipynb"})]}),"\n",(0,i.jsx)(n.h2,{id:"benchmarking-the-results",children:"Benchmarking the Results"}),"\n",(0,i.jsxs)(n.p,{children:["We curated a new set of ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/rag/mcq_nitro.csv",children:"50 multiple-choice questions"})," (MCQ) based on the Nitro docs. The questions had varying levels of difficulty and had trick components that challenged the model's ability to discern misleading information."]}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.img,{alt:"Opensource model outperforms GPT",src:t(90190).A+"",width:"1189",height:"590"})}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.em,{children:"Figure 4."})," Comparison between fine-tuned model and OpenAI's GPT."]}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.em,{children:"Table 1."})," Result of Benchmarking Different Model With RAG."]}),"\n",(0,i.jsxs)(n.table,{children:[(0,i.jsx)(n.thead,{children:(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.th,{children:"Approach"}),(0,i.jsx)(n.th,{children:"Performance"})]})}),(0,i.jsxs)(n.tbody,{children:[(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:"GPT-3.5 with RAG"}),(0,i.jsx)(n.td,{children:"56.7%"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:"GPT-4 with RAG"}),(0,i.jsx)(n.td,{children:"64.3%"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsxs)(n.td,{children:["Merged 7B Model (",(0,i.jsx)(n.a,{href:"https://huggingface.co/jan-hq/stealth-v1.3",children:"Stealth 7B"}),") with RAG"]}),(0,i.jsx)(n.td,{children:"47.7%"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:"Finetuned 7B Model (Nitro 7B) with RAG"}),(0,i.jsx)(n.td,{children:"57.8%"})]})]})]}),"\n",(0,i.jsx)(n.p,{children:"This indicates that with task-specific training, we can improve an open-source, Small Language Model to the level of GPT-3.5 on domain knowledge."}),"\n",(0,i.jsx)(n.p,{children:"Notably, the finetuned with RAG approach also demonstrated more consistency across benchmarking, as indicated by its lower standard deviation."}),"\n",(0,i.jsx)(n.h2,{id:"conclusion",children:"Conclusion"}),"\n",(0,i.jsx)(n.p,{children:"We conclude that this combination of model merging finetuning and RAG yields promise. This finding is relevant for teams and individuals that need specialized, technical SLMs that need to run in resource-constrained or highly secured environments, where GPT may not be an option."}),"\n",(0,i.jsx)(n.p,{children:"Anecdotally, we\u2019ve had some success using this model in practice to onboard new team members to the Nitro codebase."}),"\n",(0,i.jsxs)(n.p,{children:["A full research report with more statistics can be found at ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/README.md",children:"https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/README.md"}),"."]}),"\n",(0,i.jsx)(n.h2,{id:"references",children:"References"}),"\n",(0,i.jsxs)(n.p,{children:["[1] Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le. Finetuned Language Models Are Zero-Shot Learners. ",(0,i.jsx)(n.em,{children:"arXiv preprint arXiv:2109.01652"}),", 2021. URL: ",(0,i.jsx)(n.a,{href:"https://arxiv.org/abs/2109.01652",children:"https://arxiv.org/abs/2109.01652"})]}),"\n",(0,i.jsxs)(n.p,{children:["[2] Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. ",(0,i.jsx)(n.em,{children:"arXiv preprint arXiv:2308.09583"}),", 2023. URL: ",(0,i.jsx)(n.a,{href:"https://arxiv.org/abs/2308.09583",children:"https://arxiv.org/abs/2308.09583"})]}),"\n",(0,i.jsxs)(n.p,{children:["[3] Luo, Y., Yang, Z., Meng, F., Li, Y., Zhou, J., & Zhang, Y. An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning. ",(0,i.jsx)(n.em,{children:"arXiv preprint arXiv:2308.08747"}),",2023 URL: ",(0,i.jsx)(n.a,{href:"https://arxiv.org/abs/2308.08747",children:"https://arxiv.org/abs/2308.08747"})]}),"\n",(0,i.jsxs)(n.p,{children:["[4] Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang. WizardCoder: Empowering Code Large Language Models with Evol-Instruct., ",(0,i.jsx)(n.em,{children:"arXiv preprint arXiv:2306.08568"}),", 2023. URL: ",(0,i.jsx)(n.a,{href:"https://arxiv.org/abs/2306.08568",children:"https://arxiv.org/abs/2306.08568"})]}),"\n",(0,i.jsxs)(n.p,{children:["[5] SciPhi-AI, Agent Search. GitHub. URL: ",(0,i.jsx)(n.a,{href:"https://github.com/SciPhi-AI/agent-search",children:"https://github.com/SciPhi-AI/agent-search"})]}),"\n",(0,i.jsxs)(n.p,{children:['[6] Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang. "Lost in the Middle: How Language Models Use Long Contexts." ',(0,i.jsx)(n.em,{children:"arXiv preprint arXiv:2307.03172"}),", 2023. URL: ",(0,i.jsx)(n.a,{href:"https://arxiv.org/abs/2307.03172",children:"https://arxiv.org/abs/2307.03172"})]}),"\n",(0,i.jsxs)(n.p,{children:["[7] Luo, H., Sun, Q., Xu, C., Zhao, P., Lou, J., Tao, C., Geng, X., Lin, Q., Chen, S., & Zhang, D. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. ",(0,i.jsx)(n.em,{children:"arXiv preprint arXiv:2308.09583"}),", 2023. URL: ",(0,i.jsx)(n.a,{href:"https://arxiv.org/abs/2308.09583",children:"https://arxiv.org/abs/2308.09583"})]}),"\n",(0,i.jsxs)(n.p,{children:["[8] nlpxucan et al., WizardLM. GitHub. URL: ",(0,i.jsx)(n.a,{href:"https://github.com/nlpxucan/WizardLM",children:"https://github.com/nlpxucan/WizardLM"})]})]})}function d(e={}){const{wrapper:n}={...(0,a.R)(),...e.components};return n?(0,i.jsx)(n,{...e,children:(0,i.jsx)(c,{...e})}):c(e)}},5760:(e,n,t)=>{t.d(n,{A:()=>i});const i=t.p+"assets/images/mistral-comparasion-8c8400408787c7a3a85d1072ab545a1d.png"},70595:(e,n,t)=>{t.d(n,{A:()=>i});const i=t.p+"assets/images/nitro-on-jan-a26977d030ddcda2ca3e9fb868a8a49c.png"},90190:(e,n,t)=>{t.d(n,{A:()=>i});const i=t.p+"assets/images/rag-comparasion-d1d1d6f9838abb8f707117cfdfee24d2.png"},11793:(e,n,t)=>{t.d(n,{A:()=>i});const i=t.p+"assets/images/stealth-comparasion-e4f7494c465c9eaecee0fb2d0997eb1c.png"},28453:(e,n,t)=>{t.d(n,{R:()=>r,x:()=>o});var i=t(96540);const a={},s=i.createContext(a);function r(e){const n=i.useContext(s);return i.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function o(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(a):e.components||a:r(e.components),i.createElement(s.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/dfd62110.d8dfa17e.js b/assets/js/dfd62110.d8dfa17e.js new file mode 100644 index 00000000..15073d74 --- /dev/null +++ b/assets/js/dfd62110.d8dfa17e.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[6895],{68868:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>h,contentTitle:()=>r,default:()=>d,frontMatter:()=>s,metadata:()=>o,toc:()=>l});var i=t(74848),a=t(28453);const s={title:"Rag Is Not Enough: Lessons from Beating GPT-3.5 on Specialized Tasks with Mistral 7B",description:"Creating Open Source Alternatives to Outperform ChatGPT",slug:"/blog/surpassing-chatgpt-with-open-source-alternatives",tags:["Open Source ChatGPT Alternatives","Outperform ChatGPT"],authors:["hahuyhoang411","0xsage","automaticcat"],date:new Date("2024-03-17T00:00:00.000Z")},r=void 0,o={id:"pending-content/blogpost/surpassing-chatgpt-with-open-source-alternatives",title:"Rag Is Not Enough: Lessons from Beating GPT-3.5 on Specialized Tasks with Mistral 7B",description:"Creating Open Source Alternatives to Outperform ChatGPT",source:"@site/docs/pending-content/blogpost/02-surpassing-chatgpt-with-open-source-alternatives.mdx",sourceDirName:"pending-content/blogpost",slug:"/blog/surpassing-chatgpt-with-open-source-alternatives",permalink:"/blog/surpassing-chatgpt-with-open-source-alternatives",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/pending-content/blogpost/02-surpassing-chatgpt-with-open-source-alternatives.mdx",tags:[{label:"Open Source ChatGPT Alternatives",permalink:"/tags/open-source-chat-gpt-alternatives"},{label:"Outperform ChatGPT",permalink:"/tags/outperform-chat-gpt"}],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1712027706,formattedLastUpdatedAt:"Apr 2, 2024",sidebarPosition:2,frontMatter:{title:"Rag Is Not Enough: Lessons from Beating GPT-3.5 on Specialized Tasks with Mistral 7B",description:"Creating Open Source Alternatives to Outperform ChatGPT",slug:"/blog/surpassing-chatgpt-with-open-source-alternatives",tags:["Open Source ChatGPT Alternatives","Outperform ChatGPT"],authors:["hahuyhoang411","0xsage","automaticcat"],date:"2024-03-17T00:00:00.000Z"}},h={},l=[{value:"Abstract",id:"abstract",level:2},{value:"Selecting a Strong Foundation Model",id:"selecting-a-strong-foundation-model",level:2},{value:"Cost-Effectively Improving the Base Model",id:"cost-effectively-improving-the-base-model",level:2},{value:"DPO Finetuning",id:"dpo-finetuning",level:2},{value:"Using Our Technical Documentation",id:"using-our-technical-documentation",level:2},{value:"Generating a Training Dataset for GPT-4",id:"generating-a-training-dataset-for-gpt-4",level:2},{value:"Training",id:"training",level:2},{value:"Improving Results With Rag",id:"improving-results-with-rag",level:2},{value:"Benchmarking the Results",id:"benchmarking-the-results",level:2},{value:"Conclusion",id:"conclusion",level:2},{value:"References",id:"references",level:2}];function c(e){const n={a:"a",code:"code",em:"em",h2:"h2",img:"img",li:"li",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,a.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(n.h2,{id:"abstract",children:"Abstract"}),"\n",(0,i.jsxs)(n.p,{children:["We present a straightforward approach to adapting small, open-source models for specialized use cases, that can surpass GPT 3.5 performance with RAG. With it, we were able to get superior results on Q&A over ",(0,i.jsx)(n.a,{href:"https://nitro.jan.ai/docs",children:"technical documentation"})," describing a small ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/nitro",children:"codebase"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["In short, (3) extending a general foundation model like ",(0,i.jsx)(n.a,{href:"https://huggingface.co/mistralai/Mistral-7B-v0.1",children:"Mistral"})," with strong math and coding, and (7) training it over a high-quality, synthetic dataset generated from the intended corpus, and (2) adding RAG capabilities, can lead to significant accuracy improvements."]}),"\n",(0,i.jsx)(n.p,{children:"Problems still arise with catastrophic forgetting in general tasks, commonly observed during specialized domain fine-tuning. In our case, this is likely exacerbated by our lack of access to Mistral\u2019s original training dataset and various compression techniques used in our approach to keep the model small."}),"\n",(0,i.jsx)(n.h2,{id:"selecting-a-strong-foundation-model",children:"Selecting a Strong Foundation Model"}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.a,{href:"https://huggingface.co/mistralai/Mistral-7B-v0.1",children:"Mistral 7B"})," outshines both ",(0,i.jsx)(n.a,{href:"https://huggingface.co/meta-llama/Llama-2-7b",children:"Meta's Llama-2 7B"})," and ",(0,i.jsx)(n.a,{href:"https://huggingface.co/google/gemma-7b",children:"Google's Gemma 7B"})," in key benchmarks, making it our choice for a base model. Starting with a strong foundation like Mistral allowed us to achieve greater accuracy in our specialized adaptations."]}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.img,{alt:"Mistral vs LLama vs Gemma",src:t(5760).A+"",width:"1489",height:"790"})}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.em,{children:"Figure 1."})," Mistral 7B excels in benchmarks, ranking among the top foundational models."]}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsxs)(n.em,{children:["Note: we are not sponsored by the Mistral team. Though many folks in their community do like to run Mistral locally using our desktop client - ",(0,i.jsx)(n.a,{href:"https://jan.ai/",children:"Jan"}),"."]})}),"\n",(0,i.jsx)(n.h2,{id:"cost-effectively-improving-the-base-model",children:"Cost-Effectively Improving the Base Model"}),"\n",(0,i.jsx)(n.p,{children:"Mistral alone has known, poor math capabilities, which we needed for our highly technical use case. Thus, we tested all model variants on top of Mistral, from foundation models to finetunes to model merges, in order to find a stronger base model to receive our own finetuning."}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.img,{alt:"Merged model vs finetuned models",src:t(11793).A+"",width:"1490",height:"790"})}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.em,{children:"Figure 2."})," The merged model, Stealth, doubles the mathematical capabilities of its foundational model while retaining the performance in other tasks."]}),"\n",(0,i.jsx)(n.p,{children:"We found merging models is quick and cost-effective, enabling fast adjustments based on the result of each iteration."}),"\n",(0,i.jsxs)(n.p,{children:["We ended up with ",(0,i.jsx)(n.a,{href:"https://huggingface.co/jan-hq/stealth-v1.1",children:"Stealth 7B v1.1"}),", a ",(0,i.jsx)(n.a,{href:"https://github.com/Digitous/LLM-SLERP-Merge",children:"SLERP"})," merge of Mistral with the following:"]}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.a,{href:"https://huggingface.co/WizardLM/WizardMath-7B-V1.1",children:"WizardMath"})," for its math capabilities."]}),"\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.a,{href:"https://huggingface.co/WizardLM/WizardCoder-Python-7B-V1.0",children:"WizardCoder"})," for its coding capabilities."]}),"\n",(0,i.jsxs)(n.li,{children:["Our own ",(0,i.jsx)(n.a,{href:"https://huggingface.co/jan-hq/trinity-v1.2",children:"Trinity"})," model for its versatility across general tasks."]}),"\n"]}),"\n",(0,i.jsx)(n.p,{children:"This particular combination yielded the best tradeoff across mathematical & technical reasoning while retaining the most pre-merge performance on general tasks."}),"\n",(0,i.jsx)(n.h2,{id:"dpo-finetuning",children:"DPO Finetuning"}),"\n",(0,i.jsx)(n.p,{children:"Merging different LLMs can lead to a mixed answering style because each model was originally trained on different types of data."}),"\n",(0,i.jsxs)(n.p,{children:["Thus, we applied Direct Preference Optimization (",(0,i.jsx)(n.a,{href:"https://arxiv.org/abs/2305.18290",children:"DPO"}),") using the ",(0,i.jsx)(n.a,{href:"https://huggingface.co/datasets/Intel/orca_dpo_pairs",children:"Intel's Orca DPO pairs"})," dataset, chosen for its helpful answering style in general, math and coding concentration."]}),"\n",(0,i.jsxs)(n.p,{children:["This approach results in a final model - ",(0,i.jsx)(n.a,{href:"https://huggingface.co/jan-hq/stealth-v1.2",children:"Stealth 7B v1.2"}),", with minimal loss, and realign to our technical preferences."]}),"\n",(0,i.jsx)(n.h2,{id:"using-our-technical-documentation",children:"Using Our Technical Documentation"}),"\n",(0,i.jsx)(n.p,{children:"With the base model ready, we started on our specific use case."}),"\n",(0,i.jsx)(n.p,{children:"Jan is an open-source & bootstrapped project - at one point during our unanticipated growth, we received 1 customer support ticket per minute, with no one to handle customer service."}),"\n",(0,i.jsx)(n.p,{children:"So, we directed our efforts toward training a model to answer user questions based on existing technical documentation."}),"\n",(0,i.jsxs)(n.p,{children:["Specifically, we trained it on Nitro ",(0,i.jsx)(n.a,{href:"https://nitro.jan.ai/docs",children:"docs"}),". For context, Nitro is the default inference engine for Jan. It\u2019s a serious server implementation of LlamaCPP, written in C++, with multimodal, queues, and other production-level server capabilities."]}),"\n",(0,i.jsx)(n.p,{children:"It made an interesting corpus because it was rife with post-2023 technical jargon, edge cases, and poor informational layout."}),"\n",(0,i.jsx)(n.h2,{id:"generating-a-training-dataset-for-gpt-4",children:"Generating a Training Dataset for GPT-4"}),"\n",(0,i.jsxs)(n.p,{children:["The first step was to transform Nitro\u2019s unstructured format into a synthetic Q&A dataset designed for ",(0,i.jsx)(n.a,{href:"https://arxiv.org/pdf/2109.01652.pdf",children:"instruction tuning"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["The text was split into chunks of 300-token segments with 30-token overlaps. This helped to avoid a ",(0,i.jsx)(n.a,{href:"https://arxiv.org/abs/2307.03172",children:"lost-in-the-middle"})," problem where LLM can\u2019t use context efficiently to answer given questions."]}),"\n",(0,i.jsxs)(n.p,{children:["The chunks were then given to GPT-4 with 8k context length to generate 3800 Q&A pairs. The ",(0,i.jsx)(n.a,{href:"https://huggingface.co/datasets/jan-hq/nitro_binarized_v2",children:"training dataset"})," is available on HuggingFace."]}),"\n",(0,i.jsx)(n.h2,{id:"training",children:"Training"}),"\n",(0,i.jsxs)(n.p,{children:["The training was done with supervised finetuning (SFT) from the ",(0,i.jsx)(n.a,{href:"https://github.com/huggingface/alignment-handbook",children:"Hugging Face's alignment handbook"})," based on the ",(0,i.jsx)(n.a,{href:"https://github.com/huggingface/alignment-handbook/tree/main/recipes/zephyr-7b-beta",children:"Huggingface's Zephyr Beta"})," guidelines."]}),"\n",(0,i.jsxs)(n.p,{children:["We used consumer-grade, dual Nvidia RTX 4090s for the training. The end-to-end training took 18 minutes. We found optimal hyperparameters in LoRA for this specific task to be ",(0,i.jsx)(n.code,{children:"r = 256"})," and ",(0,i.jsx)(n.code,{children:"alpha = 512"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["This final model is publicly available at ",(0,i.jsx)(n.a,{href:"https://huggingface.co/jan-hq/nitro-v1.2-e3",children:"https://huggingface.co/jan-hq/nitro-v1.2-e3"}),"."]}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.img,{alt:"Using LLM locally",src:t(70595).A+"",width:"1607",height:"896"})}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.em,{children:"Figure 3."})," Using the new finetuned model in ",(0,i.jsx)(n.a,{href:"https://jan.ai/",children:"Jan"}),"."]}),"\n",(0,i.jsx)(n.h2,{id:"improving-results-with-rag",children:"Improving Results With Rag"}),"\n",(0,i.jsxs)(n.p,{children:["As an additional step, we also added ",(0,i.jsx)(n.a,{href:"https://blogs.nvidia.com/blog/what-is-retrieval-augmented-generation/",children:"Retrieval Augmented Generation (RAG)"})," as an experiment parameter."]}),"\n",(0,i.jsxs)(n.p,{children:["A simple RAG setup was done using ",(0,i.jsx)(n.strong,{children:(0,i.jsx)(n.a,{href:"https://www.llamaindex.ai/",children:"Llamaindex"})})," and the ",(0,i.jsx)(n.strong,{children:(0,i.jsx)(n.a,{href:"https://huggingface.co/BAAI/bge-base-en-v1.5",children:"bge-en-base-v1.5 embedding"})})," model for efficient documentation retrieval and question-answering. The RAG implementation is publicly available at at ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/rag/nitro_rag.ipynb",children:"https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/rag/nitro_rag.ipynb"})]}),"\n",(0,i.jsx)(n.h2,{id:"benchmarking-the-results",children:"Benchmarking the Results"}),"\n",(0,i.jsxs)(n.p,{children:["We curated a new set of ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/rag/mcq_nitro.csv",children:"50 multiple-choice questions"})," (MCQ) based on the Nitro docs. The questions had varying levels of difficulty and had trick components that challenged the model's ability to discern misleading information."]}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.img,{alt:"Opensource model outperforms GPT",src:t(90190).A+"",width:"1189",height:"590"})}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.em,{children:"Figure 4."})," Comparison between fine-tuned model and OpenAI's GPT."]}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.em,{children:"Table 1."})," Result of Benchmarking Different Model With RAG."]}),"\n",(0,i.jsxs)(n.table,{children:[(0,i.jsx)(n.thead,{children:(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.th,{children:"Approach"}),(0,i.jsx)(n.th,{children:"Performance"})]})}),(0,i.jsxs)(n.tbody,{children:[(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:"GPT-3.5 with RAG"}),(0,i.jsx)(n.td,{children:"56.7%"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:"GPT-4 with RAG"}),(0,i.jsx)(n.td,{children:"64.3%"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsxs)(n.td,{children:["Merged 7B Model (",(0,i.jsx)(n.a,{href:"https://huggingface.co/jan-hq/stealth-v1.3",children:"Stealth 7B"}),") with RAG"]}),(0,i.jsx)(n.td,{children:"47.7%"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:"Finetuned 7B Model (Nitro 7B) with RAG"}),(0,i.jsx)(n.td,{children:"57.8%"})]})]})]}),"\n",(0,i.jsx)(n.p,{children:"This indicates that with task-specific training, we can improve an open-source, Small Language Model to the level of GPT-3.5 on domain knowledge."}),"\n",(0,i.jsx)(n.p,{children:"Notably, the finetuned with RAG approach also demonstrated more consistency across benchmarking, as indicated by its lower standard deviation."}),"\n",(0,i.jsx)(n.h2,{id:"conclusion",children:"Conclusion"}),"\n",(0,i.jsx)(n.p,{children:"We conclude that this combination of model merging finetuning and RAG yields promise. This finding is relevant for teams and individuals that need specialized, technical SLMs that need to run in resource-constrained or highly secured environments, where GPT may not be an option."}),"\n",(0,i.jsx)(n.p,{children:"Anecdotally, we\u2019ve had some success using this model in practice to onboard new team members to the Nitro codebase."}),"\n",(0,i.jsxs)(n.p,{children:["A full research report with more statistics can be found at ",(0,i.jsx)(n.a,{href:"https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/README.md",children:"https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/README.md"}),"."]}),"\n",(0,i.jsx)(n.h2,{id:"references",children:"References"}),"\n",(0,i.jsxs)(n.p,{children:["[1] Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le. Finetuned Language Models Are Zero-Shot Learners. ",(0,i.jsx)(n.em,{children:"arXiv preprint arXiv:2109.01652"}),", 2021. URL: ",(0,i.jsx)(n.a,{href:"https://arxiv.org/abs/2109.01652",children:"https://arxiv.org/abs/2109.01652"})]}),"\n",(0,i.jsxs)(n.p,{children:["[2] Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. ",(0,i.jsx)(n.em,{children:"arXiv preprint arXiv:2308.09583"}),", 2023. URL: ",(0,i.jsx)(n.a,{href:"https://arxiv.org/abs/2308.09583",children:"https://arxiv.org/abs/2308.09583"})]}),"\n",(0,i.jsxs)(n.p,{children:["[3] Luo, Y., Yang, Z., Meng, F., Li, Y., Zhou, J., & Zhang, Y. An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning. ",(0,i.jsx)(n.em,{children:"arXiv preprint arXiv:2308.08747"}),",2023 URL: ",(0,i.jsx)(n.a,{href:"https://arxiv.org/abs/2308.08747",children:"https://arxiv.org/abs/2308.08747"})]}),"\n",(0,i.jsxs)(n.p,{children:["[4] Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang. WizardCoder: Empowering Code Large Language Models with Evol-Instruct., ",(0,i.jsx)(n.em,{children:"arXiv preprint arXiv:2306.08568"}),", 2023. URL: ",(0,i.jsx)(n.a,{href:"https://arxiv.org/abs/2306.08568",children:"https://arxiv.org/abs/2306.08568"})]}),"\n",(0,i.jsxs)(n.p,{children:["[5] SciPhi-AI, Agent Search. GitHub. URL: ",(0,i.jsx)(n.a,{href:"https://github.com/SciPhi-AI/agent-search",children:"https://github.com/SciPhi-AI/agent-search"})]}),"\n",(0,i.jsxs)(n.p,{children:['[6] Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang. "Lost in the Middle: How Language Models Use Long Contexts." ',(0,i.jsx)(n.em,{children:"arXiv preprint arXiv:2307.03172"}),", 2023. URL: ",(0,i.jsx)(n.a,{href:"https://arxiv.org/abs/2307.03172",children:"https://arxiv.org/abs/2307.03172"})]}),"\n",(0,i.jsxs)(n.p,{children:["[7] Luo, H., Sun, Q., Xu, C., Zhao, P., Lou, J., Tao, C., Geng, X., Lin, Q., Chen, S., & Zhang, D. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. ",(0,i.jsx)(n.em,{children:"arXiv preprint arXiv:2308.09583"}),", 2023. URL: ",(0,i.jsx)(n.a,{href:"https://arxiv.org/abs/2308.09583",children:"https://arxiv.org/abs/2308.09583"})]}),"\n",(0,i.jsxs)(n.p,{children:["[8] nlpxucan et al., WizardLM. GitHub. URL: ",(0,i.jsx)(n.a,{href:"https://github.com/nlpxucan/WizardLM",children:"https://github.com/nlpxucan/WizardLM"})]})]})}function d(e={}){const{wrapper:n}={...(0,a.R)(),...e.components};return n?(0,i.jsx)(n,{...e,children:(0,i.jsx)(c,{...e})}):c(e)}},5760:(e,n,t)=>{t.d(n,{A:()=>i});const i=t.p+"assets/images/mistral-comparasion-8c8400408787c7a3a85d1072ab545a1d.png"},70595:(e,n,t)=>{t.d(n,{A:()=>i});const i=t.p+"assets/images/nitro-on-jan-a26977d030ddcda2ca3e9fb868a8a49c.png"},90190:(e,n,t)=>{t.d(n,{A:()=>i});const i=t.p+"assets/images/rag-comparasion-d1d1d6f9838abb8f707117cfdfee24d2.png"},11793:(e,n,t)=>{t.d(n,{A:()=>i});const i=t.p+"assets/images/stealth-comparasion-e4f7494c465c9eaecee0fb2d0997eb1c.png"},28453:(e,n,t)=>{t.d(n,{R:()=>r,x:()=>o});var i=t(96540);const a={},s=i.createContext(a);function r(e){const n=i.useContext(s);return i.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function o(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(a):e.components||a:r(e.components),i.createElement(s.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/e0f6d58a.eda1438a.js b/assets/js/e0f6d58a.eda1438a.js deleted file mode 100644 index 0d6c7986..00000000 --- a/assets/js/e0f6d58a.eda1438a.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[252],{12050:(e,s,n)=>{n.r(s),n.d(s,{assets:()=>l,contentTitle:()=>o,default:()=>h,frontMatter:()=>r,metadata:()=>i,toc:()=>d});var a=n(74848),t=n(28453);const r={title:"Messages",description:"Jan is a ChatGPT-alternative that runs on your own computer, with a local API server.",keywords:["Jan","Customizable Intelligence","LLM","local AI","privacy focus","free and open source","private and offline","conversational AI","no-subscription fee","large language models"]},o=void 0,i={id:"developer/framework/engineering/messages",title:"Messages",description:"Jan is a ChatGPT-alternative that runs on your own computer, with a local API server.",source:"@site/docs/developer/05-framework/03-engineering/messages.md",sourceDirName:"developer/05-framework/03-engineering",slug:"/developer/framework/engineering/messages",permalink:"/developer/framework/engineering/messages",draft:!1,unlisted:!1,editUrl:"https://github.com/janhq/docs/tree/main/docs/developer/05-framework/03-engineering/messages.md",tags:[],version:"current",lastUpdatedBy:"Nicole Zhu",lastUpdatedAt:1711818688,formattedLastUpdatedAt:"Mar 30, 2024",frontMatter:{title:"Messages",description:"Jan is a ChatGPT-alternative that runs on your own computer, with a local API server.",keywords:["Jan","Customizable Intelligence","LLM","local AI","privacy focus","free and open source","private and offline","conversational AI","no-subscription fee","large language models"]},sidebar:"developerSidebar",previous:{title:"Files",permalink:"/developer/framework/engineering/files"},next:{title:"Models",permalink:"/developer/framework/engineering/models"}},l={},d=[{value:"Overview",id:"overview",level:2},{value:"Folder Structure",id:"folder-structure",level:2},{value:"message.jsonl",id:"messagejsonl",level:2},{value:"Examples",id:"examples",level:3},{value:"API Reference",id:"api-reference",level:2}];function c(e){const s={a:"a",admonition:"admonition",code:"code",h2:"h2",h3:"h3",li:"li",p:"p",pre:"pre",ul:"ul",...(0,t.R)(),...e.components};return(0,a.jsxs)(a.Fragment,{children:[(0,a.jsx)(s.admonition,{type:"caution",children:(0,a.jsx)(s.p,{children:"This is currently under development."})}),"\n",(0,a.jsx)(s.h2,{id:"overview",children:"Overview"}),"\n",(0,a.jsxs)(s.p,{children:[(0,a.jsx)(s.code,{children:"Messages"})," capture a conversation's content. 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",F="data:image/png;base64,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",r="data:image/png;base64,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",n="data:image/png;base64,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",o="data:image/png;base64,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",u="data:image/png;base64,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",c="data:image/png;base64,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",E="data:image/png;base64,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",B="data:image/png;base64,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",p="data:image/png;base64,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",Y="data:image/png;base64,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",V="data:image/png;base64,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",R="data:image/png;base64,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",I="data:image/png;base64,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",U="data:image/png;base64,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",v="data:image/png;base64,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",W="data:image/png;base64,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",K="data:image/png;base64,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",b="data:image/png;base64,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",Q="data:image/png;base64,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",O="data:image/png;base64,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KkhnqGHkWutDkTgTvkL7wDigW03Iq0w+rqaXMSo3YEMgm1ggnYOB9hsUAERF07YmECbrpPYCgux4QziB7YYZ6/V1eQYw68QQwpe8Yht6iQo4B3eAUQDqa/XOm8X2h7hHhBRcaYKMnBKGodDyCWKHxFwIlpqWYwPHCIgoPAz3gEEAgkOdSKcvSgf+VXV6AtKf9AY9WXzVqulribUBHMAmo8Mj9K0L5u3mY8Fw7EGh1X70yDKRzAbbig4tT8NViINTjoHmBHXW85c258Gm/lYMCy/V3hr9hxF+RpwL5g1r5Ak7q2eY1TlI7+y4+4h6RjJg0+iBCBXoitfw3S2OgIlxByRdAnS5LmhM+VrwJkwSYIqXUPnyscyna2oE/pjMgP6yTOUkKMPyL1LYRzwAp3CV4rFOIMsrzKSUr4GKEJ4HTlo9RWU7LbNIe4b+P+eQvuB2CsAjUxauDxUtiSpfDxgqll4vDFPoNzXXQhdF1DKheeZ8gGStjuvxZ2F8omAveIRk5DS/PzCtHeg+QKPPs0DqQAHNqqcMpsb/b9/S0HJhBBC/g9aACkzTUsGsAAAAABJRU5ErkJggg==",M="data:image/png;base64,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",G="data:image/png;base64,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",x="data:image/png;base64,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",Z="data:image/png;base64,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",X="data:image/png;base64,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",F="data:image/png;base64,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",r="data:image/png;base64,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",n="data:image/png;base64,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",o="data:image/png;base64,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",u="data:image/png;base64,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",c="data:image/png;base64,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",E="data:image/png;base64,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",B="data:image/png;base64,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",p="data:image/png;base64,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",Y="data:image/png;base64,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",V="data:image/png;base64,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",R="data:image/png;base64,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",I="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIoAAACyCAYAAAHqqWcyAAAACXBIWXMAAC4jAAAuIwF4pT92AAANH0lEQVR4nO2dS2wV1xnHj40N2DGv+FZRSlBg0Zt2VaNUrdSHAIlsadpNowoUm9xNaYjoIgWpC8yiEbSL0pCwukqMkkWzSYAtSICiIgUlgqiLhNtFiSCrXsrDvCF29R88ztzxmZnznHNmzveTkAFfH5/7v/85j+88vr7Z2VnGo9nqbuR+I0Wn3TiN/1lQ0OhvPpsdXfasSBnzdNqNvp6CUEj0VbIg0J8uRJV+E4WAAdW3kqa/2eqe1i4lqZEuA3k/32k3ev7dbHXlaxQXgh+OC0gXXO5by3sbPIRqlHybygWJFCJUEDh0/E7ha4QK2rll2ExBIuQakkl8esZq5F9BUVPbbHV1G7ZVUY3QeOsU0mk3rnO7IyddUY/Iqo2/kS7ISPfT971X/qvdfxkxnpFCjHQ3Ql3NGx/cjv6+urFIvJCfPDfY85unTtyNvp7av4pbiNCnU9SoG+kVhD4dI91KEf4UUrNnx6NCNLuMhfOFLFR6AEmy+6+YZBtuuTIR3EbSxDxGhZ7KuKpEzIBIJfr6jA20ckHzgnHLhlJ+WwHlvGVBCsfwRSRHAh+dvc92vzOtXJbSx5Q3QU0iO5WUViZZEd4vS34ff5epkLJnRH7JkZN3pcqUVoZXieXDfezTN0cLX2e8MmlkIidFGH20dSrCTCijW4EkRj8m3Yppf0zb/noj+rppzzXdovSV+eTiQ2MflVd9k3eVOehBPSLiqNIYY+y8w3rc6LQbK4VmB+zxY7uWMbbWZA3igBTjBaV42J6mCM2XdNZcZMh9gsqcIWRWpOxpCrciLuZKCyriasJmJAprtCKup65C0eAyogtGomIm8KYnpoqk8aYiWuPYP730BHt589D8vzGw/rr7jVJZSk9NURThR69dZTfvyBUr/dGIhDIwZ8bcWQapj+bXP1va8+89795iH/7zHreSqIy1MMb+iZGefycrwVxN1E3OiaUr8st913O/LxoK4yHlkS8uP8pU4rNDvUEdkb0NSbTnw4yjxPTdWemKaLes6UogPPr8zqvS5RhRJCb9OMugpUhaDdVKMJOdntNIksm2pB5DRXRs8IlOQ2akIsnItG5l6jFUTJpV17g0r0lDFUlDFUlDFUmDinzlQ0VM7fLUApHn5C7RCQd1+DzebiS8KCDCU7/917UVw0+vtFhxGxzptBvjyXKNiFL2FidbGHEKL0pbZVHmmFASJS9kXQNR5ObBrhcRykJIlFDEiMkVJTQxYrzaq+oLRvfMDi1eUQdNHovynZcuPJyZ/UY5+LhkcISNLB0VeGU1GGi2urtWjTxjNBpbdTDfeDF0EdJ4tW/NF0gUDiQKh9Ib2M3rF7PDv18u9TNYTJRdUNShlBMsvD35qmCtGsvENrHuFJGlH7jg3MWH0d9//Nxg7hH8Y3sfx7BM7yJIYtUpeYLgGMmf/3E79+fT+3ySfHn5EdtSsMNBFWsNbXwMmQecUSQIyHvN99fYM7k1UT6ZexzSyOzCkN3jZAqrbUr83MM1V67OSG1xw76aZUPZothsU0rpkrNcw6OoYYbTVLbayODFRFCky7bZsKZxLsqpA0+y1aPZTVvZAzfmWhR0uVmCuBAjxuncJ2sM4lIQ5lqUkxcecP/fpSDM9eOz462b0dd4oCfTS9nEm9AB5jx5o+AyceqUvDGJzcFZERRk4uBUlKwLF7A32yVeXZPiC/T4cCBROJAoHEgUDiQKBxKFA0S55F2tHOPFdmvP+MrEBcF1AlvR1/bso222ulh+07+yqXpAjLG41kb35seI3iDtkOudduNC1q83Jsoz2/79c8b6Ph5eUrXzCmxdp93o6WyMdMnf3XqxfffBzY9NlOWA/zRb3ankr9UWBYLcf3jrlQqJwOPlZIYMLVFqIkjMhrgtVBalZoLEnGKqDW2WINhxXcGGNs0qaafU1CFJJqVECUAQMCYsSiCCRAiJEpIgTESU0ARhRaKEKAjLEyVUQViWKCELwniihC4IS4uiK8jgwFKBV/nPvCgmHDK4qEaimBBkxRNPG6uUa6JNO7qCPDmyprRsMmWA06aX6nBpg0nw8ZIiKWjZlAOJwoFE4UCicCBROJAoHEgUDiQKB2d783G8f3zzUHRQIQ2Oxk2dvKd1GbUOpd+EW3Q8Lg0OUm7a/T/p3AcanCnt8Rl/YSg6tSEjCMAxXBy6fP/18u57KsUpx/euNHLivIzjt6U4xZQgbM41x/faX6u22tDipFeRIDhHeOTEt0dccAI172fwvR+sGbB6XYjVx6foNHre6S+dn9XE3uNTdB6w6E3V8rjc/u3LMr8nevILKUSysHkI05ooeV2v6KAs73W8QZ8pSh/mf2mogbTZ0FoT5VzGweutc7l4RTj8avYtX19cVks3JoI1UfDmMdhKgjZCdLiONiPvUhnVHGwiWB2nxKNPvEGZI/sYh7yXM6zPcqEpSmlTZARBOrhjBaNWmUdQBa+uXM27wiwG2QJt440oB7YvY7/66ZLc1+A2wDJCCF6IIjJpVMknqYrzcGTRBJCVLAjzwSlFbYiLOZBTpyA0mYerSaFTUfLmR3SpTIptlschRXgpiusLq5yJ4uoGURGciZLVxWZdSVQmTh8fXmRN5PJe23iRK9Ozy+/OeDHM9+UmwBgveh/cfp53A3rZOHUK1oeTAWgIg3Zm9zvTLqvlziloR3gReYQPVjcWOalTjDNR8oLSByZGSq1LGmei5AWlXeNMlLzVv6zLe8vCmSh5jenUCbejWqddMsIDSVfAPS5DBjHeZH/3iPL2vFUJEoUDicKBROFAonAgUTiQKBxIFA4kCgcShQOJwoFE4UCicCBROJAoCzkKUc74ViuXdNqNg/2ddsP3+6jLJNoYEz8+x4J4ywV02o1oV3N8b/6LsUoBsz5+6/MN7ZxKobYv65JXxnNvLm62unjBD8uumQP+gIY1/WutJBMwxbqJK78YXLQUN4vh8S7vtHb9QYtwFEtsnXZDKLWwd0bBPXwPHt3ZPjs701eTe8SrAPrYSV5LEuONUXgXNZJRnPA5Y2xjuqVxbpS8mzzJKE75e6fd2BVXwJlRRK56JaM4Zz47VulGkbkLmIziBWcQWSrNKCqXRZNRvGHC+v5zuoC/FoxbMwoZpF4YNwoZpJ4YMwoZpN5oG4UMEgbKRiGDhIW0UcggYSJsFDJI2BQahQxCsDyjuDYIstNRVNYfFhjFhxZkoH8xWz78lMsqECnmjbJ6W2fXvQfTf3MpEFoRGARGIfwiMoqLVgSmgCEGFi1hSwdHWH+/VzcmEylwAwb2G5wnYYgcoltBxkkhoggYZYxUIoqgE5SEEGQUQggyCiEEGYUQgoxCCEFGIYSgcOgceTlir1ydsZrvsQoEYxQYAakdixL3yYD0tB+evR/l4y0zlZsLEMI/zRjbULc3hgSoyNdnM3FyGmSwPXT8jvPr2i1wplZGQUotpDHfPOZ+9Rmm2fqXG1aTWZeIHzmNdIFBkPWmKNtnmSCVCDIY18UwlZ/1oHv59M1Rr0ySJDYM6lllKt2iIBtsXvLTIpDQcOrkPaEZDVJPIdOS6pgHqXwxbrKdB90WlR2j6Jhkz7u3opmKKpg97VdMzwVz+pBcUpJqZqlBfnoVk2C8gKzkOiYB+HmUg/JkKUoS7iuVNIpKLAQf6vM7zaWuRzmq6SHzgnu+UjmjqIq8ZZ/QLZlSTCuarszYjikqZxSVaSbGJDZC8JvXq8VrznmW4liEyhkFTf6mPdeExwdvfHBbe0zCA9mJVcYbX1+d8S4XtgiVnB6jdcB4A1PW17YMLxiz4MOIpr4WQumY4r7/xxXKuXl3vHXTeJ3KoLZrPabRNQhAS1jRVeh6hPBtohMzicEqs43BdJmQUTJArEZ3S0KdFgbJKAlMLS6iBfnd29O12uxERpnj8KvLtbcnwCBYy6njJqbgjYIA3nuv66UC+ujsfeUobVUI2ii6A1XdxcUqEaxRMN1VNUlIBokJ1igqG4nqMM1VJdhzPbILc4j2hmoSFqpRVFag99R8sFpEkEaRXZRDl1PFhTyTBNv17HhbfHEOwbPQCdYoJ88/QNLraBsCb8sC/g/fw2tCP07KaPWYEKSam6uJ8gk+hI+dauMvDHH3mdT4LLE0wXY9stsIYBj8CZQwNy6prBSj5WFzhgmRIMcoqtsJqngexxRBGgXheBVuKpwMrAtBGkUlHI+Bbchh/GBD+Aik4UiHCNhWYPI4ahWhgFuC5Bgk9LWdFHRcIwmZIxuKzBJCkFEIIcgohBBkFEIIMgohBBmFEIKMQghBRiGEIKMQQpBRCCHIKIQQZBRCCDIKIQSMcpqkIgq4BKMcJJWIAg72d9oN3OUwQUoRGezrtBsXojFKp92YIrMQHGCSSfx33+zst/tAm63uSsbYBcbYs6Ra0CBN2Ua0JLEIPUaJaba6Y4yxo2SY4FhgkBiuUZI0W91xxtgkmaa2wByTnXYjd1JTaJQ0zVZ3LVzHGMNXtDwrQ1e6QiAUcglfO+0GvorBGPs/Xcxf6MKaW1kAAAAASUVORK5CYII=",U="data:image/png;base64,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",v="data:image/png;base64,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",W="data:image/png;base64,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",K="data:image/png;base64,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",b="data:image/png;base64,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",Q="data:image/png;base64,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",O="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALcAAAC4CAYAAAHWP03cAAANE0lEQVR4nO2dTYwUxxmGv13WJuDAQugbxpBDxtlTQJFiCR9YJHzl75IcjGCTOdlBXg7IUXLAHCzF4uB1NuHUSnZlH3zCLNcgwR5sKSgR5oTdF6+NOaUJHpDBP+CJvqFr1NNTM13dU11TVf0+0sjseqem5q23q776n2i325Sm0YxnqTxrURisiXd3E2804/YIifYRhcFEJ3HdCQsmq0i0m3ijGb+hI6H3Tk/3/W6qTEKXzmyhn+/If2vuX1x56ye0fdsklwsXUqFMSBMvmsggqi1QZxOXan7/YZtufvGIbt/5gb6MH9PNW486v1+89ICuffo9/evT78snvmnDBP3q+ad6fsduOXlwY+ff15LE0x8i+9BSPhcfLMtAGrhFilTztHYzO6Zo5cwWfYmnYRuKDxP/3bxxgv79l225iU/87Hf/5WbtSqms5SXubktESWOqO+FuA51mlNAiCoOr6Z+F5vNE9Pbo+e1+SEcJobm2hCkVA7EVK3EKjeXxz0PWgGer29zExWNeJqyQJv7C80/Ru5LoqQxoLKRIC1TWuhcNK2hQ4tnWnRMWYYXswwd9qLbQQuZzuEVKn+ZcMGn9/rOY38oPolSVK7oyaWQF6m59PllFy09JO1pJaCHS6wstqIJBBg2sRmHQE/KkR0R4COCMZRnuo0dxCxXOY0+lT1CFXJ/SNUpUBh5ZynaSaUAFmKVU85mHrDbWjXLGVbq5QqmqM02qrQSHvGX75lXh6sOJjBuHwywnWswsSrWKan9U1CqjDour1OPwuGn8zrjo0R0716o+R4oUilWyXdJB7P/D3c6MGk91WJFxVW7Hj+mXJ+/k/jUPx62c2VoqtnG1I+Hmw9k3Du+C8nm9fKvCANkQhzTjaUZcZFGa7CxKbsZtHKbIVdxyj7eiMOh2w7q1igMP5nSjGX8lfuhk3KF6nDO/ixytxz+jZNmQc60mVT1CXiHLVlnl6Is/6pnNGsLxSqJD1Uz+ee7Hfb/nqbZFhfcbyfiJlzbQH3/9jNY0K8m4rsVvwxgp4+zHtCdVeke6UM74n37zDB0/sMFYxvJQyriJoi8KxlVMg4ybxrqMy2bhZEBx0yg3QNcya4yya46uSRZDDfpbHbgaj+ttOQdNpWRLi4aU2L0H7e7q+GEYCWtlNcWw2gNzQCbhTRVOZpx3gqgAq5gGGTeNUsa5XuXXBx99a03GCzVAr//9fueVJtvTN8XIVuGASpRI+ndVU0mTzxnPZl53yRgbO9T9ZZwNa12tDk9xxlcsyEghojBY4JXvhx3KcxdhlRsW5EWJni11URjstj7HTzgi/pGdWeYJUD37xvSzNQqD7gStC3sk+vZHkMrqiTSNZsyWukhEOyvKpIuc4lpONd9DBW80Y16scLemQpblbBQGA3dvDHo0l3ju1sIv4xQqy4N2iTUVQBsr6ZgqvaxpAWJXwqF0Yy6WY50gote8+pqWIdbAObuO2VH2TI5r0WxNucgDQRA8WdR2dO966WQazwS+rGdDy86xrdozBS+8YyFVjpozgZOC8+Yb4UhbhFTFqtyykLwucOa5KXrlr/d6/p+Ny+/KYETw7cG6jhv58a5yz5sLaBNc9WS7uqNt8mTGsbp0XDg7ee8qENwwENwwEFwB1YXgKkBww0Bww0Bwwzh7PpOrwOGG0dY91Hn4NEk2cox78ErXLmA43DAQ3DAQXAHZhryyQHDDQHDDQHDDQHDDaBOcd2+DfLR1fNI3eA2Cp+GOvrjeqhN7TGN0IpIL5c33+fX10L/jWX5fsXLml0/jzSJ7elxcfuH0VDsXjGzzahaxwIhXa5m4BmIYtVjbwA26SsGQgbWIPB6ObSbmWMWCfIN0b/jiXae1+MbjZZkyl4dhT2Z1dHeyyY5DR/Wil/w96wThdTAXhcFSNh2Vmwp4S+E/LP5iNiE90CBNocMNBMk911wQv/BKrmK8Q0QLURisFXlXKcEFddxymHdHyDCKHt2BAw964WN9Dqs6XKXu5jBxzeITa2xhf+GbcdI0mjEfQHPIb430MuxqaISB1bAnCoOPsylLxyUh9MhcT0LnHtCjrJYeh/c4O313FdDC9XQi6RN/5hFx6Kfv8rWEt734dvYxLTp/4milsV3GXxOuEI5VMspWnqPERIIZVrgaQRVihkOTOAbPHFgBaxCIPQBeOMpXPerc/YYTYQyuyK2d2ONc6uy12LzBlhddHtm73oLceCS2bcLKcFJsF4SV4YTYB/Y8Tedf3WxBTkbDqtCPHXv+9/2invBk387YnM3CHn9pAx3Y/bT0/1VxI+y4MSI2VwPsTp0HabmIdrGHnY+tyqaNfp4bq01snd1a7nhcvv6dtvRsAWMjBoHYBoHYBoHYBoHYBoHYBoHYBoHYBoHYBoHYBoHYBoHYBoHYBoHYBoHYBoHYBtE+U5N3lHLe3CK//8s7P/T87sJH33bfx2cJ3s+cqsl/LzvKzjZ4MTx2HRgC1YhBILZBrJzwPXau1VO3v/XbTblLzT659Sj3hOSbCn8ja3N0rWFxYvmZytGfKqdQll1egetYHARiGwRiGwRiGwRiGwRiGwRiGwRiGwRiGwRiGwRiGwRiGwRiGwRiGwRiG0Sb2Lczk7SgH22TB/tf/1/Pz1VfLeUilSmx9M+HnVcaHRtSXcao7S58+E3nlaZOW63H/ozzTt7sbt7Nnm6ntjIayc6Av3yuRa/87Z7Wi+vHgTOtl+wJcK0KcjpUkBXAsHNMxo13cRkvqMkuqrGlAGoRBNtSALXtcQwqgCpPVcOSYYNgIMogLPZqbb7tmGGxF2qtgDlauGDCHHOizm7V4duOE77bV4i9u54SGKPTLqbvYv8K111Vg7gjshv6RWGwxa+vaA2nREaycfZcPfWojFYUBt1oT3YfJC5F1kT2itm+HmQUBnxD57Jj38s2WrK7fKXd9UTwI3VTSBM3BrV/KleBI0pRR3pRskDpkvvk7nVOZOe4voXlHInC4GJeFpXETtNoxruTm/bqfB87d1KWuFdY5E2FxS5DUkCzSU91FxHtq/xDgW20ktqRX1f5FYVBpRd0azV3Ur1zMDOPKh4UZIVH/KMwuKpLuJHN3WjGh5NpCJgZ6IRDkRNRGKyVTbOUuZPb2y+i1wMMwUY/XDSMKWRujA6CMdNKavPcnjsVGCqBqYFt7M+Lz4eaO4mnP0CxAkv5nEfgBoUrA1dbNprxVRgbWA4PYtxtNON5WTZls+48nLeGziJwjOVkTr1Lj7kbzZgnWD5DqQJHWY3CYFZkPRuWDJykB8AB9iWDH73mbjRjjFsDHzjeaMad8KRj7mRUpM4Lc4BfdJZyi5pb2tsEwFGmeQSFd7mjEwl8ZHUyWYIKgG/sm0rWWQMgZWbHFM08N0UzO9Z1/j3osLTlyw/pzfe/tkpEnK1aU1RNq8qMhcf0wtyeodu0LgNzOwKfn/fEtE+MiwPN84FCYwamrQ4oWQF8VrsICYRxVe6MBnqBuTXy3unpWse4tgFzF6hpj51r9Z0lDezFa3NvD9Z1Rw04tuWfER7UByfN3alZg8muabm23bTBzzuJQHmsNLetVwdxfhCWuIN15uaa+Pyrmy3ICXAdBKDAW2Bu4C0wN/AWmBt4C8wNvAXmBt4CcwNvgbmBt8DcwFtgbqAFG5f6wtzAW2Bu4C0wN/AWmBt4C8wNvAV7KMHI3H/YpgsffmOdkHzKK1+af8aCvACgFYQlwFtgbuAt1sXcfPzC0b3rS7+f47+bXzzSkpd7D9p085aetIB5rDP3s9sm6eTBjRbkpJ+8Q3nqfOLUJ7ce0cGz0ot8xwbCEqAFGw/whLmBt8DcwFtgbuAtMDfwFpgbaOGahWcowtzAW2Bu4C0wN/AWmBt4C8wNvAXmBt4CcwNvgbmBt8DcwFtgbuAt1i3C5c0AjWbcc6vvs8llqbj0HxTBWrfwFi82usq9jy9krrXG/euAfDm3RPUhYPM/eQjWdVsF4C+1aud5s6/Kht/snfG4fttNEMRKuB0/7rwuX/+OFgu8b/HSA3r39LSxfILhwNwaEZ3hLGgJxgPMbQDVliA9QpTuIINywNwWoTpChIdADZjbQfAQqAFze0zZh4BP/fJhwgzmBqUnzNKzxirvNQ2fzz1LRFdQxMAzWhPtdpuHr9ooWeAZy6J38Q5KFnjGkjD3GyhZ4BErURhc7Zg7CgM+WHkOpQs84QSlNytEYbCE8AR4wJ6ksu7diROFwTwH4ihh4Cj7ozD4WGS9b7oq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KkhnqGHkWutDkTgTvkL7wDigW03Iq0w+rqaXMSo3YEMgm1ggnYOB9hsUAERF07YmECbrpPYCgux4QziB7YYZ6/V1eQYw68QQwpe8Yht6iQo4B3eAUQDqa/XOm8X2h7hHhBRcaYKMnBKGodDyCWKHxFwIlpqWYwPHCIgoPAz3gEEAgkOdSKcvSgf+VXV6AtKf9AY9WXzVqulribUBHMAmo8Mj9K0L5u3mY8Fw7EGh1X70yDKRzAbbig4tT8NViINTjoHmBHXW85c258Gm/lYMCy/V3hr9hxF+RpwL5g1r5Ak7q2eY1TlI7+y4+4h6RjJg0+iBCBXoitfw3S2OgIlxByRdAnS5LmhM+VrwJkwSYIqXUPnyscyna2oE/pjMgP6yTOUkKMPyL1LYRzwAp3CV4rFOIMsrzKSUr4GKEJ4HTlo9RWU7LbNIe4b+P+eQvuB2CsAjUxauDxUtiSpfDxgqll4vDFPoNzXXQhdF1DKheeZ8gGStjuvxZ2F8omAveIRk5DS/PzCtHeg+QKPPs0DqQAHNqqcMpsb/b9/S0HJhBBC/g9aACkzTUsGsAAAAABJRU5ErkJggg==",M="data:image/png;base64,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",G="data:image/png;base64,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",x="data:image/png;base64,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",Z="data:image/png;base64,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",X="data:image/png;base64,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Learn how to install Jan and select an AI model to start chatting.",sidebar_position:2,keywords:["Jan","Customizable Intelligence","LLM","local AI","privacy focus","free and open source","private and offline","conversational AI","no-subscription fee","large language models","quickstart","getting started","using AI model","installation"]},sidebar:"guidesSidebar",previous:{title:"Overview",permalink:"/guides"},next:{title:"Manage Models",permalink:"/guides/models"}},p={},g=[{value:"Step 1: Install Jan Desktop",id:"step-1-install-jan-desktop",level:2},{value:"Pre-requisites",id:"pre-requisites",level:4},{value:"Stable Releases",id:"stable-releases",level:4},{value:"Nightly Releases",id:"nightly-releases",level:4},{value:"Experimental Model",id:"experimental-model",level:4},{value:"Install with Homebrew",id:"install-with-homebrew",level:4},{value:"Pre-requisites",id:"pre-requisites-1",level:4},{value:"Stable Releases",id:"stable-releases-1",level:4},{value:"Nightly Releases",id:"nightly-releases-1",level:4},{value:"Experimental Model",id:"experimental-model-1",level:4},{value:"Default Installation Directory",id:"default-installation-directory",level:4},{value:"Pre-requisites",id:"pre-requisites-2",level:4},{value:"Stable Releases",id:"stable-releases-2",level:4},{value:"Nightly Releases",id:"nightly-releases-2",level:4},{value:"Experimental Model",id:"experimental-model-2",level:4},{value:"Pre-requisites",id:"pre-requisites-3",level:3},{value:"Install Jan Development Build",id:"install-jan-development-build",level:3},{value:"Install Jan Production Build",id:"install-jan-production-build",level:3},{value:"Step 2: Download a Model",id:"step-2-download-a-model",level:2},{value:"Step 3: Connect to ChatGPT (Optional)",id:"step-3-connect-to-chatgpt-optional",level:2},{value:"Step 4: Chat with Models",id:"step-4-chat-with-models",level:2},{value:"Best Practices",id:"best-practices",level:2},{value:"Follow the Quickstart Guide",id:"follow-the-quickstart-guide",level:3},{value:"Select the Right Models",id:"select-the-right-models",level:3},{value:"Setting up Jan",id:"setting-up-jan",level:3},{value:"Integrations",id:"integrations",level:3},{value:"Mastering the Prompt Engineering",id:"mastering-the-prompt-engineering",level:3},{value:"Pre-configured Models",id:"pre-configured-models",level:2}];function x(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",h3:"h3",h4:"h4",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,s.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(n.h2,{id:"step-1-install-jan-desktop",children:"Step 1: Install Jan Desktop"}),"\n",(0,i.jsxs)(l.A,{children:[(0,i.jsxs)(r.A,{value:"mac",label:"Mac",default:!0,children:[(0,i.jsx)(n.h4,{id:"pre-requisites",children:"Pre-requisites"}),(0,i.jsx)(n.p,{children:"Before installing Jan, ensure :"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"You have a Mac with an Apple Silicon Processor."}),"\n",(0,i.jsx)(n.li,{children:"Homebrew and its dependencies are installed for installing Jan with Homebrew package."}),"\n",(0,i.jsx)(n.li,{children:"Your macOS version is 10.15 or higher."}),"\n"]}),(0,i.jsx)(n.h4,{id:"stable-releases",children:"Stable Releases"}),(0,i.jsxs)(n.p,{children:["To download stable releases, go to ",(0,i.jsx)(n.a,{href:"https://jan.ai/",children:"Jan"})," > select ",(0,i.jsx)(n.strong,{children:"Download for Mac"}),"."]}),(0,i.jsxs)(n.p,{children:["The download should be available as a ",(0,i.jsx)(n.code,{children:".dmg"}),"."]}),(0,i.jsx)(n.h4,{id:"nightly-releases",children:"Nightly Releases"}),(0,i.jsx)(n.p,{children:"We provide the Nightly Release so that you can test new features and see what might be coming in a future stable release. Please be aware that there might be bugs!"}),(0,i.jsxs)(n.p,{children:["You can download it from ",(0,i.jsx)(n.a,{href:"https://discord.gg/FTk2MvZwJH",children:"Jan's Discord"})," in the ",(0,i.jsx)(n.a,{href:"https://discord.gg/q8szebnxZ7",children:(0,i.jsx)(n.code,{children:"#nightly-builds"})})," channel."]}),(0,i.jsx)(n.h4,{id:"experimental-model",children:"Experimental Model"}),(0,i.jsxs)(n.p,{children:["To enable the experimental mode, go to ",(0,i.jsx)(n.strong,{children:"Settings"})," > ",(0,i.jsx)(n.strong,{children:"Advanced Settings"})," and toggle the ",(0,i.jsx)(n.strong,{children:"Experimental Mode"})]}),(0,i.jsx)(n.h4,{id:"install-with-homebrew",children:"Install with Homebrew"}),(0,i.jsx)(n.p,{children:"Install Jan with the following Homebrew command:"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-brew",children:"brew install --cask jan\n"})}),(0,i.jsx)(n.admonition,{type:"warning",children:(0,i.jsxs)(n.p,{children:["Homebrew package installation is currently limited to ",(0,i.jsx)(n.strong,{children:"Apple Silicon Macs"}),", with upcoming support for Windows and Linux."]})})]}),(0,i.jsxs)(r.A,{value:"windows",label:"Windows",children:[(0,i.jsx)(n.h4,{id:"pre-requisites-1",children:"Pre-requisites"}),(0,i.jsx)(n.p,{children:"Ensure that your system meets the following requirements:"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Windows 10 or higher is required to run Jan."}),"\n"]}),(0,i.jsx)(n.p,{children:"To enable GPU support, you will need:"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"NVIDIA GPU with CUDA Toolkit 11.7 or higher"}),"\n",(0,i.jsx)(n.li,{children:"NVIDIA driver 470.63.01 or higher"}),"\n"]}),(0,i.jsx)(n.h4,{id:"stable-releases-1",children:"Stable Releases"}),(0,i.jsxs)(n.p,{children:["To download stable releases, go to ",(0,i.jsx)(n.a,{href:"https://jan.ai/",children:"Jan"})," > select ",(0,i.jsx)(n.strong,{children:"Download for Windows"}),"."]}),(0,i.jsxs)(n.p,{children:["The download should be available as a ",(0,i.jsx)(n.code,{children:".exe"})," file."]}),(0,i.jsx)(n.h4,{id:"nightly-releases-1",children:"Nightly Releases"}),(0,i.jsx)(n.p,{children:"We provide the Nightly Release so that you can test new features and see what might be coming in a future stable release. Please be aware that there might be bugs!"}),(0,i.jsxs)(n.p,{children:["You can download it from ",(0,i.jsx)(n.a,{href:"https://discord.gg/FTk2MvZwJH",children:"Jan's Discord"})," in the ",(0,i.jsx)(n.a,{href:"https://discord.gg/q8szebnxZ7",children:(0,i.jsx)(n.code,{children:"#nightly-builds"})})," channel."]}),(0,i.jsx)(n.h4,{id:"experimental-model-1",children:"Experimental Model"}),(0,i.jsxs)(n.p,{children:["To enable the experimental mode, go to ",(0,i.jsx)(n.strong,{children:"Settings"})," > ",(0,i.jsx)(n.strong,{children:"Advanced Settings"})," and toggle the ",(0,i.jsx)(n.strong,{children:"Experimental Mode"})]}),(0,i.jsx)(n.h4,{id:"default-installation-directory",children:"Default Installation Directory"}),(0,i.jsx)(n.p,{children:"By default, Jan is installed in the following directory:"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"# Default installation directory\nC:\\Users\\{username}\\AppData\\Local\\Programs\\Jan\n"})}),(0,i.jsx)(n.admonition,{type:"warning",children:(0,i.jsxs)(n.p,{children:["If you are stuck in a broken build, go to the ",(0,i.jsx)(n.a,{href:"/troubleshooting/#broken-build",children:"Broken Build"})," section of Common Errors."]})})]}),(0,i.jsxs)(r.A,{value:"linux",label:"Linux",children:[(0,i.jsx)(n.h4,{id:"pre-requisites-2",children:"Pre-requisites"}),(0,i.jsx)(n.p,{children:"Ensure that your system meets the following requirements:"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["glibc 2.27 or higher (check with ",(0,i.jsx)(n.code,{children:"ldd --version"}),")"]}),"\n",(0,i.jsx)(n.li,{children:"gcc 11, g++ 11, cpp 11, or higher, refer to this link for more information."}),"\n"]}),(0,i.jsx)(n.p,{children:"To enable GPU support, you will need:"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"NVIDIA GPU with CUDA Toolkit 11.7 or higher"}),"\n",(0,i.jsx)(n.li,{children:"NVIDIA driver 470.63.01 or higher"}),"\n"]}),(0,i.jsx)(n.h4,{id:"stable-releases-2",children:"Stable Releases"}),(0,i.jsxs)(n.p,{children:["To download stable releases, go to ",(0,i.jsx)(n.a,{href:"https://jan.ai/",children:"Jan"})," > select ",(0,i.jsx)(n.strong,{children:"Download for Linux"}),"."]}),(0,i.jsxs)(n.p,{children:["The download should be available as a ",(0,i.jsx)(n.code,{children:".AppImage"})," file or a ",(0,i.jsx)(n.code,{children:".deb"})," file."]}),(0,i.jsx)(n.h4,{id:"nightly-releases-2",children:"Nightly Releases"}),(0,i.jsx)(n.p,{children:"We provide the Nightly Release so that you can test new features and see what might be coming in a future stable release. Please be aware that there might be bugs!"}),(0,i.jsxs)(n.p,{children:["You can download it from ",(0,i.jsx)(n.a,{href:"https://discord.gg/FTk2MvZwJH",children:"Jan's Discord"})," in the ",(0,i.jsx)(n.a,{href:"https://discord.gg/q8szebnxZ7",children:(0,i.jsx)(n.code,{children:"#nightly-builds"})})," channel."]}),(0,i.jsx)(n.h4,{id:"experimental-model-2",children:"Experimental Model"}),(0,i.jsxs)(n.p,{children:["To enable the experimental mode, go to ",(0,i.jsx)(n.strong,{children:"Settings"})," > ",(0,i.jsx)(n.strong,{children:"Advanced Settings"})," and toggle the ",(0,i.jsx)(n.strong,{children:"Experimental Mode"})]}),(0,i.jsxs)(l.A,{groupId:"linux_type",children:[(0,i.jsx)(r.A,{value:"linux_main",label:"Linux",children:(0,i.jsxs)(n.p,{children:["To install Jan, you should use your package manager's install or ",(0,i.jsx)(n.code,{children:"dpkg"}),"."]})}),(0,i.jsxs)(r.A,{value:"deb_ub",label:"Debian / Ubuntu",children:[(0,i.jsx)(n.p,{children:"To install Jan, run the following command:"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"# Install Jan using dpkg\nsudo dpkg -i jan-linux-amd64-{version}.deb\n\n# Install Jan using apt-get\nsudo apt-get install ./jan-linux-amd64-{version}.deb\n# where jan-linux-amd64-{version}.deb is path to the Jan package\n"})})]}),(0,i.jsxs)(r.A,{value:"other",label:"Others",children:[(0,i.jsx)(n.p,{children:"To install Jan, run the following commands:"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"# Install Jan using AppImage\nchmod +x jan-linux-x86_64-{version}.AppImage\n./jan-linux-x86_64-{version}.AppImage\n# where jan-linux-x86_64-{version}.AppImage is path to the Jan package\n"})})]})]}),(0,i.jsx)(n.admonition,{type:"warning",children:(0,i.jsxs)(n.p,{children:["If you are stuck in a broken build, go to the ",(0,i.jsx)(n.a,{href:"/troubleshooting/#broken-build",children:"Broken Build"})," section of Common Errors."]})})]}),(0,i.jsxs)(r.A,{value:"server",label:"Server-Side",children:[(0,i.jsx)(n.p,{children:"To install Jan from source, follow the steps below:"}),(0,i.jsx)(n.h3,{id:"pre-requisites-3",children:"Pre-requisites"}),(0,i.jsx)(n.p,{children:"Before proceeding with the installation of Jan from source, ensure that the following software versions are installed on your system:"}),(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Node.js version 20.0.0 or higher"}),"\n",(0,i.jsx)(n.li,{children:"Yarn version 1.22.0 or higher"}),"\n"]}),(0,i.jsx)(n.h3,{id:"install-jan-development-build",children:"Install Jan Development Build"}),(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Clone the Jan repository from GitHub by using the following command:"}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"git clone https://github.com/janhq/jan\ngit checkout DESIRED_BRANCH\ncd jan\n"})}),(0,i.jsxs)(n.ol,{start:"2",children:["\n",(0,i.jsx)(n.li,{children:"Install the required dependencies by using the following Yarn command:"}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"yarn install\n\n# Build core module\nyarn build:core\n\n# Packing base plugins\nyarn build:plugins\n\n# Packing uikit\nyarn build:uikit\n"})}),(0,i.jsxs)(n.ol,{start:"3",children:["\n",(0,i.jsx)(n.li,{children:"Run the development server."}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"yarn dev\n"})}),(0,i.jsxs)(n.p,{children:["This will start the development server and open the desktop app. During this step, you may encounter notifications about installing base plugins. Simply click ",(0,i.jsx)(n.strong,{children:"OK"})," and ",(0,i.jsx)(n.strong,{children:"Next"})," to continue."]}),(0,i.jsx)(n.h3,{id:"install-jan-production-build",children:"Install Jan Production Build"}),(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Clone the Jan repository from GitHub by using the following command:"}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"git clone https://github.com/janhq/jan\ncd jan\n"})}),(0,i.jsxs)(n.ol,{start:"2",children:["\n",(0,i.jsx)(n.li,{children:"Install the required dependencies by using the following Yarn command:"}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"yarn install\n\n# Build core module\nyarn build:core\n\n# Packing base plugins\nyarn build:plugins\n\n# Packing uikit\nyarn build:uikit\n"})}),(0,i.jsxs)(n.ol,{start:"3",children:["\n",(0,i.jsx)(n.li,{children:"Run the production server."}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"yarn\n"})}),(0,i.jsx)(n.p,{children:"This completes the installation process for Jan from source. The production-ready app for macOS can be found in the dist folder."}),(0,i.jsx)(n.admonition,{type:"warning",children:(0,i.jsxs)(n.p,{children:["If you are stuck in a broken build, go to the ",(0,i.jsx)(n.a,{href:"/troubleshooting/#broken-build",children:"Broken Build"})," section of Common Errors."]})})]})]}),"\n",(0,i.jsx)(n.h2,{id:"step-2-download-a-model",children:"Step 2: Download a Model"}),"\n",(0,i.jsx)(n.p,{children:"Jan provides a variety of local AI models tailored to different needs, ready for download. These models are installed and run directly on the user's device."}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Go to the ",(0,i.jsx)(n.strong,{children:"Hub"}),"."]}),"\n",(0,i.jsx)(n.li,{children:"Select the models that you would like to install, to see a model details click the dropdown button."}),"\n",(0,i.jsxs)(n.li,{children:["Click the ",(0,i.jsx)(n.strong,{children:"Download"})," button."]}),"\n"]}),"\n",(0,i.jsx)("br",{}),"\n",(0,i.jsx)("div",{style:{display:"flex",justifyContent:"center"},children:(0,i.jsx)("img",{src:a,alt:"Download a Model"})}),"\n",(0,i.jsx)("br",{}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsx)(n.p,{children:"Ensure you select the appropriate model size by balancing performance, cost, and resource considerations in line with your task's specific requirements and hardware specifications."})}),"\n",(0,i.jsx)(n.h2,{id:"step-3-connect-to-chatgpt-optional",children:"Step 3: Connect to ChatGPT (Optional)"}),"\n",(0,i.jsx)(n.p,{children:"Jan also provides access to remote models hosted on external servers, requiring an API key for connectivity. For example, to use the ChatGPT model with Jan, you must input your API key by following these steps:"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Go to the ",(0,i.jsx)(n.strong,{children:"Thread"})," tab."]}),"\n",(0,i.jsx)(n.li,{children:"Under the Model dropdown menu, select the ChatGPT model."}),"\n",(0,i.jsxs)(n.li,{children:["Fill in your ChatGPT API Key that you can get in your ",(0,i.jsx)(n.a,{href:"https://platform.openai.com/account/api-keys",children:"OpenAI platform"}),"."]}),"\n"]}),"\n",(0,i.jsx)("br",{}),"\n",(0,i.jsx)("div",{style:{display:"flex",justifyContent:"center"},children:(0,i.jsx)("img",{src:o,alt:"Connect to ChatGPT"})}),"\n",(0,i.jsx)("br",{}),"\n",(0,i.jsx)(n.h2,{id:"step-4-chat-with-models",children:"Step 4: Chat with Models"}),"\n",(0,i.jsxs)(n.p,{children:["After downloading and configuring your model, you can immediately use it in the ",(0,i.jsx)(n.strong,{children:"Thread"})," tab."]}),"\n",(0,i.jsx)("br",{}),"\n",(0,i.jsx)("div",{style:{display:"flex",justifyContent:"center"},children:(0,i.jsx)("img",{src:d,alt:"Chat with a model"})}),"\n",(0,i.jsx)("br",{}),"\n",(0,i.jsx)(n.h2,{id:"best-practices",children:"Best Practices"}),"\n",(0,i.jsx)(n.p,{children:"This section outlines best practices for developers, analysts, and AI enthusiasts to enhance their experience with Jan when adding AI locally to their computers. Implementing these practices will optimize the performance of AI models."}),"\n",(0,i.jsx)(n.h3,{id:"follow-the-quickstart-guide",children:"Follow the Quickstart Guide"}),"\n",(0,i.jsx)(n.p,{children:"The quickstart guide above is designed to facilitate a quick setup process. It provides a clear instruction and simple steps to get you up and running with Jan quickly. Even, if you are inexperienced in AI."}),"\n",(0,i.jsx)(n.h3,{id:"select-the-right-models",children:"Select the Right Models"}),"\n",(0,i.jsx)(n.p,{children:"Jan offers a range of pre-configured AI models that are suited for different purposes. You should identify which on that aligns with your objectives. There are factors to be considered:"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Capabilities"}),"\n",(0,i.jsx)(n.li,{children:"Accuracy"}),"\n",(0,i.jsx)(n.li,{children:"Processing Speed"}),"\n"]}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Some of these factors also depend on your hardware, please see Hardware Requirement."}),"\n",(0,i.jsx)(n.li,{children:"Choosing the right model is important to achieve the best performance."}),"\n"]})}),"\n",(0,i.jsx)(n.h3,{id:"setting-up-jan",children:"Setting up Jan"}),"\n",(0,i.jsxs)(n.p,{children:["Ensure that you familiarize yourself with the Jan application. Jan offers advanced settings that you can adjust. These settings may influence how your AI behaves locally. Please see the ",(0,i.jsx)(n.a,{href:"/guides/advanced",children:"Advanced Settings"})," article for a complete list of Jan's configurations and instructions on how to configure them."]}),"\n",(0,i.jsx)(n.h3,{id:"integrations",children:"Integrations"}),"\n",(0,i.jsx)(n.p,{children:"Jan can work with many different systems and tools. Whether you are incorporating Jan with any open-source LLM provider or other tools, it is important to understand the integration capabilities and limitations."}),"\n",(0,i.jsx)(n.h3,{id:"mastering-the-prompt-engineering",children:"Mastering the Prompt Engineering"}),"\n",(0,i.jsx)(n.p,{children:"Prompt engineering is an important aspect when dealing with AI models to generate the desired outputs. Mastering this skill can significantly enhance the performance and the responses of the AI. 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Simply click ",(0,i.jsx)(n.strong,{children:"OK"})," and ",(0,i.jsx)(n.strong,{children:"Next"})," to continue."]}),(0,i.jsx)(n.h3,{id:"install-jan-production-build",children:"Install Jan Production Build"}),(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Clone the Jan repository from GitHub by using the following command:"}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"git clone https://github.com/janhq/jan\ncd jan\n"})}),(0,i.jsxs)(n.ol,{start:"2",children:["\n",(0,i.jsx)(n.li,{children:"Install the required dependencies by using the following Yarn command:"}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"yarn install\n\n# Build core module\nyarn build:core\n\n# Packing base plugins\nyarn build:plugins\n\n# Packing uikit\nyarn build:uikit\n"})}),(0,i.jsxs)(n.ol,{start:"3",children:["\n",(0,i.jsx)(n.li,{children:"Run the production server."}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"yarn\n"})}),(0,i.jsx)(n.p,{children:"This completes the installation process for Jan from source. 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For example, to use the ChatGPT model with Jan, you must input your API key by following these steps:"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Go to the ",(0,i.jsx)(n.strong,{children:"Thread"})," tab."]}),"\n",(0,i.jsx)(n.li,{children:"Under the Model dropdown menu, select the ChatGPT model."}),"\n",(0,i.jsxs)(n.li,{children:["Fill in your ChatGPT API Key that you can get in your ",(0,i.jsx)(n.a,{href:"https://platform.openai.com/account/api-keys",children:"OpenAI platform"}),"."]}),"\n"]}),"\n",(0,i.jsx)("br",{}),"\n",(0,i.jsx)("div",{style:{display:"flex",justifyContent:"center"},children:(0,i.jsx)("img",{src:o,alt:"Connect to ChatGPT"})}),"\n",(0,i.jsx)("br",{}),"\n",(0,i.jsx)(n.h2,{id:"step-4-chat-with-models",children:"Step 4: Chat with Models"}),"\n",(0,i.jsxs)(n.p,{children:["After downloading and configuring your model, you can immediately use it in the ",(0,i.jsx)(n.strong,{children:"Thread"})," tab."]}),"\n",(0,i.jsx)("br",{}),"\n",(0,i.jsx)("div",{style:{display:"flex",justifyContent:"center"},children:(0,i.jsx)("img",{src:d,alt:"Chat with a model"})}),"\n",(0,i.jsx)("br",{}),"\n",(0,i.jsx)(n.h2,{id:"best-practices",children:"Best Practices"}),"\n",(0,i.jsx)(n.p,{children:"This section outlines best practices for developers, analysts, and AI enthusiasts to enhance their experience with Jan when adding AI locally to their computers. 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This can include the content from LLM responses and other metadata from [chat completions](/specs/chats).\n"},{name:"Threads"},{name:"Assistants",description:"Configures and utilizes different AI assistants for varied tasks"}],"x-tagGroups":[{name:"Endpoints",tags:["Models","Chat"]},{name:"Chat",tags:["Assistants","Messages","Threads"]}],paths:{"/chat/completions":{post:{operationId:"createChatCompletion",tags:["Chat"],summary:"Create chat completion\n",description:'Creates a model response for the given chat conversation. Equivalent to OpenAI\'s create chat completion. \n',requestBody:{content:{"application/json":{schema:{$ref:"#/components/schemas/ChatCompletionRequest"}}}},responses:{200:{description:"OK",content:{"application/json":{schema:{$ref:"#/components/schemas/ChatCompletionResponse"}}}}}}},"/models":{get:{operationId:"listModels",tags:["Models"],summary:"List models",description:'Lists the currently available models, and provides basic information about each one such as the owner and availability. Equivalent to OpenAI\'s list model. \n',responses:{200:{description:"OK",content:{"application/json":{schema:{$ref:"#/components/schemas/ListModelsResponse"}}}}}}},"/models/download/{model_id}":{get:{operationId:"downloadModel",tags:["Models"],summary:"Download a specific model.",description:"Download a model.\n",parameters:[{in:"path",name:"model_id",required:!0,schema:{type:"string",example:"mistral-ins-7b-q4"},description:"The ID of the model to use for this request.\n"}],responses:{200:{description:"OK",content:{"application/json":{schema:{$ref:"#/components/schemas/DownloadModelResponse"}}}}}}},"/models/{model_id}":{get:{operationId:"retrieveModel",tags:["Models"],summary:"Retrieve model",description:'Get a model instance, providing basic information about the model such as the owner and permissioning. Equivalent to OpenAI\'s retrieve model. \n',parameters:[{in:"path",name:"model_id",required:!0,schema:{type:"string",example:"mistral-ins-7b-q4"},description:"The ID of the model to use for this request.\n"}],responses:{200:{description:"OK",content:{"application/json":{schema:{$ref:"#/components/schemas/GetModelResponse"}}}}}},delete:{operationId:"deleteModel",tags:["Models"],summary:"Delete model",description:'Delete a model. Equivalent to OpenAI\'s delete model. \n',parameters:[{in:"path",name:"model_id",required:!0,schema:{type:"string",example:"mistral-ins-7b-q4"},description:"The model id to delete\n"}],responses:{200:{description:"OK",content:{"application/json":{schema:{$ref:"#/components/schemas/DeleteModelResponse"}}}}}}},"/threads":{post:{operationId:"createThread",tags:["Threads"],summary:"Create thread",description:'Create a thread. Equivalent to OpenAI\'s create thread. \n',requestBody:{required:!1,content:{"application/json":{schema:{$ref:"#/components/schemas/CreateThreadObject"}}}},responses:{200:{description:"Thread created successfully",content:{"application/json":{schema:{$ref:"#/components/schemas/CreateThreadResponse"}}}}}},get:{operationId:"listThreads",tags:["Threads"],summary:"List threads",description:"Retrieves a list of all threads available in the system.\n",responses:{200:{description:"List of threads retrieved successfully",content:{"application/json":{schema:{type:"array",items:{$ref:"#/components/schemas/ThreadObject"},example:[{id:"thread_abc123",object:"thread",created_at:1699014083,assistants:["assistant-001"],metadata:{},messages:[]},{id:"thread_abc456",object:"thread",created_at:1699014083,assistants:["assistant-002","assistant-003"],metadata:{}}]}}}}}}},"/threads/{thread_id}":{get:{operationId:"getThread",tags:["Threads"],summary:"Retrieve thread",description:'Retrieves detailed information about a specific thread using its thread_id. Equivalent to OpenAI\'s retrieve thread. \n',parameters:[{in:"path",name:"thread_id",required:!0,schema:{type:"string"},description:"The ID of the thread to retrieve.\n"}],responses:{200:{description:"Thread details retrieved successfully",content:{"application/json":{schema:{$ref:"#/components/schemas/GetThreadResponse"}}}}}},patch:{operationId:"modifyThread",tags:["Threads"],summary:"Modify thread",description:'Modifies a thread. Equivalent to OpenAI\'s modify thread. \n',parameters:[{in:"path",name:"thread_id",required:!0,schema:{type:"string"},description:"The ID of the thread to be modified.\n"}],requestBody:{required:!0,content:{"application/json":{schema:{type:"object",properties:{title:{type:"string",description:"Set the title of the thread",items:{$ref:"#/components/schemas/ThreadMessageObject"}}}}}}},responses:{200:{description:"Thread modified successfully",content:{"application/json":{schema:{$ref:"#/components/schemas/ModifyThreadResponse"}}}}}},delete:{operationId:"deleteThread",tags:["Threads"],summary:"Delete thread",description:'Delete a thread. Equivalent to OpenAI\'s delete thread. \n',parameters:[{in:"path",name:"thread_id",required:!0,schema:{type:"string"},description:"The ID of the thread to be deleted.\n"}],responses:{200:{description:"Thread deleted successfully",content:{"application/json":{schema:{$ref:"#/components/schemas/DeleteThreadResponse"}}}}}}},"/assistants":{get:{operationId:"listAssistants",tags:["Assistants"],summary:"List assistants",description:'Return a list of assistants. Equivalent to OpenAI\'s list assistants. \n',responses:{200:{description:"List of assistants retrieved successfully",content:{"application/json":{schema:{type:"array",items:{type:"object",properties:{id:{type:"string"},object:{type:"string"},version:{type:"integer"},created_at:{type:"integer"},name:{type:"string"},description:{type:"string"},avatar:{type:"string",format:"uri"},models:{type:"array",items:{type:"object",properties:{model_id:{type:"string"}}}},instructions:{type:"string"},events:{type:"object",properties:{in:{type:"array",items:{}},out:{type:"array",items:{}}}},metadata:{type:"object"},"x-codeSamples":{type:"object",properties:{cURL:{type:"object",properties:{lang:{type:"string",example:"cURL"},source:{type:"string",example:'curl http://localhost:1337/v1/assistants \\\n -H "Content-Type: application/json"\n'}}},JavaScript:{type:"object",properties:{lang:{type:"string",example:"JavaScript"},source:{type:"string",example:"fetch('http://localhost:1337/v1/assistants', {\n method: 'GET',\n headers: {\n 'Content-Type': 'application/json'\n }\n})\n"}}},"Node.js":{type:"object",properties:{lang:{type:"string",example:"Node.js"},source:{type:"string",example:"const fetch = require('node-fetch');\n\nfetch('http://localhost:1337/v1/assistants', {\n method: 'GET',\n headers: {\n 'Content-Type': 'application/json'\n }\n})\n"}}},Python:{type:"object",properties:{lang:{type:"string",example:"Python"},source:{type:"string",example:"import requests\n\nurl = 'http://localhost:1337/v1/assistants'\nheaders = {'Content-Type': 'application/json'}\n\nresponse = requests.get(url, headers=headers)\n"}}}}}}}}}}}}}},"/assistants/{assistant_id}":{get:{operationId:"getAssistant",tags:["Assistants"],summary:"Retrieve assistant",description:'Retrieves an assistant. Equivalent to OpenAI\'s retrieve assistants. \n',parameters:[{in:"path",name:"assistant_id",required:!0,schema:{type:"string",example:"jan"},description:"The ID of the assistant to retrieve.\n"}],responses:{200:{description:"string",content:{"application/json":{schema:{$ref:"#/components/schemas/RetrieveAssistantResponse"}}}}}}},"/threads/{thread_id}/messages":{get:{operationId:"listMessages",tags:["Messages"],summary:"List messages",description:'Retrieves all messages from the given thread. Equivalent to OpenAI\'s list messages. \n',parameters:[{in:"path",name:"thread_id",required:!0,schema:{type:"string"},description:"The ID of the thread from which to retrieve messages.\n"}],responses:{200:{description:"List of messages retrieved successfully",content:{"application/json":{schema:{$ref:"#/components/schemas/ListMessagesResponse"}}}}}},post:{operationId:"createMessage",tags:["Messages"],summary:"Create message",description:'Create a message. Equivalent to OpenAI\'s list messages. \n',parameters:[{in:"path",name:"thread_id",required:!0,schema:{type:"string"},description:"The ID of the thread to which the message will be posted.\n"}],requestBody:{required:!0,content:{"application/json":{schema:{type:"object",properties:{role:{type:"string",description:"Role of the sender, either 'user' or 'assistant'.\n",example:"user",enum:["user","assistant"]},content:{type:"string",description:"Text content of the message.\n",example:"How does AI work? Explain it in simple terms."}},required:["role","content"]}}}},responses:{200:{description:"Message created successfully",content:{"application/json":{schema:{$ref:"#/components/schemas/CreateMessageResponse"}}}}}}},"/threads/{thread_id}/messages/{message_id}":{get:{operationId:"retrieveMessage",tags:["Messages"],summary:"Retrieve message",description:'Retrieve a specific message from a thread using its thread_id and message_id. Equivalent to OpenAI\'s retrieve messages. \n',parameters:[{in:"path",name:"thread_id",required:!0,schema:{type:"string"},description:"The ID of the thread containing the message.\n"},{in:"path",name:"message_id",required:!0,schema:{type:"string"},description:"The ID of the message to retrieve.\n"}],responses:{200:{description:"OK",content:{"application/json":{schema:{$ref:"#/components/schemas/GetMessageResponse"}}}}}}}},"x-webhooks":{ModelObject:{post:{summary:"The model object",description:'Describe a model offering that can be used with the API. Equivalent to OpenAI\'s model object. \n',operationId:"ModelObject",tags:["Models"],requestBody:{content:{"application/json":{schema:{$ref:"#/components/schemas/ModelObject"}}}}}},AssistantObject:{post:{summary:"The assistant object",description:'Build assistants that can call models and use tools to perform tasks. Equivalent to OpenAI\'s assistants object. \n',operationId:"AssistantObjects",tags:["Assistants"],requestBody:{content:{"application/json":{schema:{$ref:"#/components/schemas/AssistantObject"}}}}}},MessageObject:{post:{summary:"The message object",description:'Information about a message in the thread. Equivalent to OpenAI\'s message object. \n',operationId:"MessageObject",tags:["Messages"],requestBody:{content:{"application/json":{schema:{$ref:null}}}}}},ThreadObject:{post:{summary:"The thread object",description:'Represents a thread that contains messages. Equivalent to OpenAI\'s thread object. ',operationId:"ThreadObject",tags:["Threads"],requestBody:{content:{"application/json":{schema:{$ref:null}}}}}}},components:{schemas:{ThreadObject:{type:"object",properties:{id:{type:"string",description:"The identifier of the thread, defaults to foldername.\n",example:"thread_...."},object:{type:"string",description:"Type of the object, defaults to thread.\n",example:"thread"},title:{type:"string",description:"A brief summary or description of the thread, defaults to an empty string.\n",example:"funny physics joke"},assistants:{type:"array",description:"",items:{properties:{assistant_id:{type:"string",description:'The identifier of assistant, defaults to "jan"\n',example:"jan"},model:{type:"object",properties:{id:{type:"string",description:"",example:"..."},settings:{type:"object",description:'Defaults to and overrides assistant.json\'s "settings" (and if none, then model.json "settings")\n'},parameters:{type:"object",description:'Defaults to and overrides assistant.json\'s "parameters" (and if none, then model.json "parameters")\n'}}}}}},created:{type:"integer",format:"int64",description:"Unix timestamp representing the creation time of the thread, defaults to file creation time.\n",example:1231231},metadata:{type:"object",description:"Metadata associated with the thread, defaults to an empty object.\n",example:{}}}},GetThreadResponse:{type:"object",properties:{id:{type:"string",description:"The identifier of the thread.",example:"thread_abc123"},object:{type:"string",description:"Type of the object",example:"thread"},created_at:{type:"integer",format:"int64",description:"Unix timestamp representing the creation time of the thread.",example:1699014083},assistants:{type:"array",items:{type:"string"},description:"List of assistants involved in the thread.",example:["assistant-001"]},metadata:{type:"object",description:"Metadata associated with the thread.",example:{}},messages:{type:"array",items:{type:"string"},description:"List of messages within the thread.",example:[]}}},CreateThreadResponse:{type:"object",properties:{id:{type:"string",description:"The identifier of the newly created thread.",example:"thread_abc123"},object:{type:"string",description:"Type of the object, indicating it's a thread.",example:"thread"},created_at:{type:"integer",format:"int64",description:"Unix timestamp representing the creation time of the thread.",example:1699014083},metadata:{type:"object",description:"Metadata associated with the newly created thread.",example:{}}}},CreateThreadObject:{type:"object",properties:{object:{type:"string",description:"Type of the object, indicating it's a thread.",example:"thread"},title:{type:"string",description:"A brief summary or description of the thread, defaults to an empty string.\n",example:"funny physics joke"},assistants:{type:"array",description:"assistant involved in the thread",items:{properties:{assistant_id:{type:"string",description:'The identifier of assistant, defaults to "jan"\n',example:"jan"},assistant_name:{type:"string",description:'The name of assistant, defaults to "Jan"\n',example:"Jan"},instructions:{type:"string",description:'The instruction of assistant, defaults to "Be my grammar corrector"\n'},model:{type:"object",properties:{id:{type:"string",description:"Model id",example:"mistral-ins-7b-q4"},settings:{type:"object",description:'Defaults to and overrides assistant.json\'s "settings" (and if none, then model.json "settings")\n'},parameters:{type:"object",description:'Defaults to and overrides assistant.json\'s "parameters" (and if none, then model.json "parameters")\n'},engine:{type:"string",description:"Engine id",example:"nitro"}}}}}},metadata:{type:"object",description:"Metadata associated with the thread, defaults to an empty object.\n"}}},ThreadMessageObject:{type:"object",properties:{role:{type:"string",description:"\"Role of the sender, either 'user' or 'assistant'.\"\n",enum:["user","assistant"]},content:{type:"string",description:'"Text content of the message."\n'},file_ids:{type:"array",items:{type:"string"},description:'"Array of file IDs associated with the message, if any."\n'}}},ModifyThreadResponse:{type:"object",properties:{id:{type:"string",description:'"The identifier of the modified thread."\n',example:"thread_abc123"},object:{type:"string",description:"Type of the object, indicating it's a thread.",example:"thread"},created_at:{type:"integer",format:"int64",description:"Unix timestamp representing the creation time of the thread.",example:1699014083},metadata:{type:"object",description:"Metadata associated with the modified thread.",example:{}}}},DeleteThreadResponse:{type:"object",properties:{id:{type:"string",description:"The identifier of the deleted thread.",example:"thread_abc123"},object:{type:"string",description:"Type of the object, indicating the thread has been deleted.",example:"thread.deleted"},deleted:{type:"boolean",description:"Indicates whether the thread was successfully deleted.",example:!0}}},ListModelsResponse:{type:"object",properties:{object:{type:"string",enum:["list"]},data:{type:"array",items:{$ref:"#/components/schemas/Model"}}},required:["object","data"]},Model:{type:"object",properties:{source_url:{type:"string",format:"uri",description:"URL to the source of the model.",example:"https://huggingface.co/janhq/trinity-v1.2-GGUF/resolve/main/trinity-v1.2.Q4_K_M.gguf"},id:{type:"string",description:"Unique identifier used in chat-completions model_name, matches folder name.",example:"trinity-v1.2-7b"},object:{type:"string",example:"model"},name:{type:"string",description:"Name of the model.",example:"Trinity-v1.2 7B Q4"},version:{type:"string",default:"1.0",description:"The version number of the model."},description:{type:"string",description:"Description of the model.",example:"Trinity is an experimental model merge using the Slerp method. Recommended for daily assistance purposes."},format:{type:"string",description:"State format of the model, distinct from the engine.",example:"gguf"},settings:{type:"object",properties:{ctx_len:{type:"integer",description:"Context length.",example:4096},prompt_template:{type:"string",example:"<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant"}},additionalProperties:!1},parameters:{type:"object",properties:{temperature:{example:.7},top_p:{example:.95},stream:{example:!0},max_tokens:{example:4096},stop:{example:[]},frequency_penalty:{example:0},presence_penalty:{example:0}},additionalProperties:!1},metadata:{type:"object",properties:{author:{type:"string",example:"Jan"},tags:{type:"array",items:{type:"string"},example:["7B","Merged","Featured"]},size:{type:"integer",example:437e7},cover:{type:"string",format:"uri",example:"https://raw.githubusercontent.com/janhq/jan/main/models/trinity-v1.2-7b/cover.png"}},additionalProperties:!1},engine:{example:"nitro"}}},ModelObject:{type:"object",properties:{id:{type:"string",description:"The identifier of the model.\n",example:"trinity-v1.2-7b"},object:{type:"string",description:"The type of the object, indicating it's a model.\n",default:"model"},created:{type:"integer",format:"int64",description:"Unix timestamp representing the creation time of the model.\n",example:1253935178},owned_by:{type:"string",description:"The entity that owns the model.\n",example:"_"}}},GetModelResponse:{type:"object",properties:{source_url:{type:"string",format:"uri",description:"URL to the source of the model.",example:"https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GGUF/resolve/main/mistral-7b-instruct-v0.2.Q4_K_M.gguf"},id:{type:"string",description:"Unique identifier used in chat-completions model_name, matches folder name.",example:"mistral-ins-7b-q4"},object:{type:"string",example:"model"},name:{type:"string",description:"Name of the model.",example:"Mistral Instruct 7B Q4"},version:{type:"string",default:"1.0",description:"The version number of the model."},description:{type:"string",description:"Description of the model.",example:"Trinity is an experimental model merge using the Slerp method. Recommended for daily assistance purposes."},format:{type:"string",description:"State format of the model, distinct from the engine.",example:"gguf"},settings:{type:"object",properties:{ctx_len:{type:"integer",description:"Context length.",example:4096},prompt_template:{type:"string",example:"[INST] {prompt} [/INST]"}},additionalProperties:!1},parameters:{type:"object",properties:{temperature:{example:.7},top_p:{example:.95},stream:{example:!0},max_tokens:{example:4096},stop:{example:[]},frequency_penalty:{example:0},presence_penalty:{example:0}},additionalProperties:!1},metadata:{type:"object",properties:{author:{type:"string",example:"MistralAI"},tags:{type:"array",items:{type:"string"},example:["7B","Featured","Foundation Model"]},size:{example:437e7,type:"integer"},cover:{example:"https://raw.githubusercontent.com/janhq/jan/main/models/mistral-ins-7b-q4/cover.png",type:"string"}},additionalProperties:!1},engine:{example:"nitro"}}},DeleteModelResponse:{type:"object",properties:{id:{type:"string",description:"The identifier of the model that was deleted.",example:"mistral-ins-7b-q4"},object:{type:"string",description:"Type of the object, indicating it's a model.",default:"model"},deleted:{type:"boolean",description:"Indicates whether the model was successfully deleted.",example:!0}}},StartModelResponse:{type:"object",properties:{id:{type:"string",description:"The identifier of the model that was started.",example:"model-zephyr-7B"},object:{type:"string",description:"Type of the object, indicating it's a model.",default:"model"},state:{type:"string",description:"The current state of the model after the start operation.",example:"running"}},required:["id","object","state"]},StopModelResponse:{type:"object",properties:{id:{type:"string",description:"The identifier of the model that was started.",example:"model-zephyr-7B"},object:{type:"string",description:"Type of the object, indicating it's a model.",default:"model"},state:{type:"string",description:"The current state of the model after the start operation.",example:"stopped"}},required:["id","object","state"]},DownloadModelResponse:{type:"object",properties:{message:{type:"string",description:"Message indicates Jan starting download corresponding model.",example:"Starting download mistral-ins-7b-q4"}}},MessageObject:{type:"object",properties:{id:{type:"string",description:"Sequential or UUID identifier of the message.\n",example:0},object:{type:"string",description:"Type of the object, defaults to 'thread.message'.\n",example:"thread.message"},created_at:{type:"integer",format:"int64",description:"Unix timestamp representing the creation time of the message.\n"},thread_id:{type:"string",description:"Identifier of the thread to which this message belongs. Defaults to parent thread.\n",example:"thread_asdf"},assistant_id:{type:"string",description:"Identifier of the assistant involved in the message. Defaults to parent thread.\n",example:"jan"},role:{type:"string",enum:["user","assistant"],description:"Role of the sender, either 'user' or 'assistant'.\n"},content:{type:"array",items:{type:"object",properties:{type:{type:"string",description:"Type of content, e.g., 'text'.\n"},text:{type:"object",properties:{value:{type:"string",description:"Text content of the message.\n",example:"Hi!?"},annotations:{type:"array",items:{type:"string"},description:"Annotations for the text content, if any.\n",example:[]}}}}}},metadata:{type:"object",description:"Metadata associated with the message, defaults to an empty object.\n",example:{}}}},GetMessageResponse:{type:"object",properties:{id:{type:"string",description:"The identifier of the message.",example:"msg_abc123"},object:{type:"string",description:"Type of the object, indicating it's a thread message.",default:"thread.message"},created_at:{type:"integer",format:"int64",description:"Unix timestamp representing the creation time of the message.",example:1699017614},thread_id:{type:"string",description:"Identifier of the thread to which this message belongs.",example:"thread_abc123"},role:{type:"string",description:"Role of the sender, either 'user' or 'assistant'.",example:"user"},content:{type:"array",items:{type:"object",properties:{type:{type:"string",description:"Type of content, e.g., 'text'.",example:"text"},text:{type:"object",properties:{value:{type:"string",description:"Text content of the message.",example:"How does AI work? Explain it in simple terms."},annotations:{type:"array",items:{type:"string"},description:"Annotations for the text content, if any.",example:[]}}}}}},file_ids:{type:"array",items:{type:"string"},description:"Array of file IDs associated with the message, if any.",example:[]},assistant_id:{type:"string",description:"Identifier of the assistant involved in the message, if applicable.",example:null},run_id:{type:"string",description:"Run ID associated with the message, if applicable.",example:null},metadata:{type:"object",description:"Metadata associated with the message.",example:{}}}},CreateMessageResponse:{type:"object",properties:{id:{type:"string",description:"The identifier of the created message.",example:"msg_abc123"},object:{type:"string",description:"Type of the object, indicating it's a thread message.",example:"thread.message"},created_at:{type:"integer",format:"int64",description:"Unix timestamp representing the creation time of the message.",example:1699017614},thread_id:{type:"string",description:"Identifier of the thread to which this message belongs.",example:"thread_abc123"},role:{type:"string",description:"Role of the sender, either 'user' or 'assistant'.",example:"user"},content:{type:"array",items:{type:"object",properties:{type:{type:"string",description:"Type of content, e.g., 'text'.",example:"text"},text:{type:"object",properties:{value:{type:"string",description:"Text content of the message.",example:"How does AI work? Explain it in simple terms."},annotations:{type:"array",items:{type:"string"},description:"Annotations for the text content, if any.",example:[]}}}}}},file_ids:{type:"array",items:{type:"string"},description:"Array of file IDs associated with the message, if any.",example:[]},assistant_id:{type:"string",description:"Identifier of the assistant involved in the message, if applicable.",example:null},run_id:{type:"string",description:"Run ID associated with the message, if applicable.",example:null},metadata:{type:"object",description:"Metadata associated with the message.",example:{}}}},ListMessagesResponse:{type:"object",properties:{object:{type:"string",description:"Type of the object, indicating it's a list.",default:"list"},data:{type:"array",items:{$ref:"#/components/schemas/ListMessageObject"}},first_id:{type:"string",description:"Identifier of the first message in the list.",example:"msg_abc123"},last_id:{type:"string",description:"Identifier of the last message in the list.",example:"msg_abc456"},has_more:{type:"boolean",description:"Indicates whether there are more messages to retrieve.",example:!1}}},ListMessageObject:{type:"object",properties:{id:{type:"string",description:"The identifier of the message.",example:"msg_abc123"},object:{type:"string",description:"Type of the object, indicating it's a thread message.",example:"thread.message"},created_at:{type:"integer",format:"int64",description:"Unix timestamp representing the creation time of the message.",example:1699017614},thread_id:{type:"string",description:"Identifier of the thread to which this message belongs.",example:"thread_abc123"},role:{type:"string",description:"Role of the sender, either 'user' or 'assistant'.",example:"user"},content:{type:"array",items:{type:"object",properties:{type:{type:"string",description:"Type of content, e.g., 'text'."},text:{type:"object",properties:{value:{type:"string",description:"Text content of the message.",example:"How does AI work? 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Equivalent to OpenAI\'s list model. \\n","responses":{"200":{"description":"OK","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ListModelsResponse"}}}}},"x-codeSamples":[{"lang":"cURL","source":"curl -X \'GET\' \\\\\\n \'http://localhost:1337/v1/models\' \\\\\\n -H \'accept: application/json\'"},{"lang":"JavaScript","source":"const response = await fetch(\'http://localhost:1337/v1/models\', {\\n method: \'GET\',\\n headers: {Accept: \'application/json\'}\\n});\\nconst data = await response.json();"},{"lang":"Node.js","source":"const fetch = require(\'node-fetch\');\\n\\nconst url = \'http://localhost:1337/v1/models\';\\nconst options = {\\n method: \'GET\',\\n headers: { Accept: \'application/json\' }\\n};\\n\\nfetch(url, options)\\n .then(res => res.json())\\n .then(json => console.log(json));"},{"lang":"Python","source":"import requests\\n\\nurl = \'http://localhost:1337/v1/models\'\\nheaders = {\'Accept\': \'application/json\'}\\nresponse = requests.get(url, headers=headers)\\ndata = response.json()"}]}},"/models/download/{model_id}":{"get":{"operationId":"downloadModel","tags":["Models"],"summary":"Download a specific model.","description":"Download a model.\\n","parameters":[{"in":"path","name":"model_id","required":true,"schema":{"type":"string","example":"mistral-ins-7b-q4"},"description":"The ID of the model to use for this request.\\n"}],"responses":{"200":{"description":"OK","content":{"application/json":{"schema":{"$ref":"#/components/schemas/DownloadModelResponse"}}}}},"x-codeSamples":[{"lang":"cURL","source":"curl -X \'GET\' \\\\ \\n \'http://localhost:1337/v1/models/download/{model_id}\' \\\\ \\n -H \'accept: application/json\'"},{"lang":"JavaScript","source":"const response = await fetch(\'http://localhost:1337/v1/models/download/{model_id}\', {\\n method: \'GET\',\\n headers: {accept: \'application/json\'}\\n});\\n\\nconst data = await response.json();"},{"lang":"Node.js","source":"const fetch = require(\'node-fetch\');\\n\\nfetch(\'http://localhost:1337/v1/models/download/{model_id}\', {\\n method: \'GET\',\\n headers: {accept: \'application/json\'}\\n})\\n.then(res => res.json())\\n.then(data => console.log(data));"},{"lang":"Python","source":"import requests\\n\\nresponse = requests.get(\'http://localhost:1337/v1/models/download/{model_id}\', headers={\'accept\': \'application/json\'})\\ndata = response.json()"}]}},"/models/{model_id}":{"get":{"operationId":"retrieveModel","tags":["Models"],"summary":"Retrieve model","description":"Get a model instance, providing basic information about the model such as the owner and permissioning. 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Equivalent to OpenAI\'s delete model. \\n","parameters":[{"in":"path","name":"model_id","required":true,"schema":{"type":"string","example":"mistral-ins-7b-q4"},"description":"The model id to delete\\n"}],"responses":{"200":{"description":"OK","content":{"application/json":{"schema":{"$ref":"#/components/schemas/DeleteModelResponse"}}}}},"x-codeSamples":[{"lang":"cURL","source":"curl -X \'DELETE\' \\\\\\n \'http://localhost:1337/v1/models/{model_id}\' \\\\\\n -H \'accept: application/json\'"},{"lang":"JavaScript","source":"const fetch = require(\'node-fetch\');\\n\\nconst modelId = \'mistral-ins-7b-q4\';\\n\\nfetch(`http://localhost:1337/v1/models/${modelId}`, {\\n method: \'DELETE\',\\n headers: { \'accept\': \'application/json\' }\\n})\\n .then(res => res.json())\\n .then(json => console.log(json));"},{"lang":"Node.js","source":"const fetch = require(\'node-fetch\');\\n\\nconst modelId = \'mistral-ins-7b-q4\';\\n\\nfetch(`http://localhost:1337/v1/models/${modelId}`, {\\n method: \'DELETE\',\\n headers: { \'accept\': \'application/json\' }\\n})\\n .then(res => res.json())\\n .then(json => console.log(json));"},{"lang":"Python","source":"import requests\\n\\nmodel_id = \'mistral-ins-7b-q4\'\\n\\nresponse = requests.delete(f\'http://localhost:1337/v1/models/{model_id}\', headers={\'accept\': \'application/json\'})"}]}},"/threads":{"post":{"operationId":"createThread","tags":["Threads"],"summary":"Create thread","description":"Create a thread. Equivalent to OpenAI\'s create thread. \\n","requestBody":{"required":false,"content":{"application/json":{"schema":{"$ref":"#/components/schemas/CreateThreadObject"}}}},"responses":{"200":{"description":"Thread created successfully","content":{"application/json":{"schema":{"$ref":"#/components/schemas/CreateThreadResponse"}}}}},"x-codeSamples":[{"lang":"cURL","source":"curl -X POST http://localhost:1337/v1/threads \\\\ \\n -H \\"Content-Type: application/json\\" \\\\ \\n -d \'{\\n \\"messages\\": [{\\n \\"role\\": \\"user\\",\\n \\"content\\": \\"Hello, what is AI?\\",\\n \\"file_ids\\": [\\"file-abc123\\"]\\n }, {\\n \\"role\\": \\"user\\",\\n \\"content\\": \\"How does AI work? Explain it in simple terms.\\"\\n }]\\n }\'\\n"},{"lang":"JavaScript","source":"const fetch = require(\'node-fetch\');\\n\\nfetch(\'http://localhost:1337/v1/threads\', {\\n method: \'POST\',\\n headers: {\\n \'Content-Type\': \'application/json\'\\n },\\n body: JSON.stringify({\\n messages: [\\n {\\n role: \'user\',\\n content: \'Hello, what is AI?\',\\n file_ids: [\'file-abc123\']\\n },\\n {\\n role: \'user\',\\n content: \'How does AI work? Explain it in simple terms.\'\\n }\\n ]\\n })\\n});"},{"lang":"Node.js","source":"const fetch = require(\'node-fetch\');\\n\\nfetch(\'http://localhost:1337/v1/threads\', {\\n method: \'POST\',\\n headers: {\\n \'Content-Type\': \'application/json\'\\n },\\n body: JSON.stringify({\\n messages: [\\n {\\n role: \'user\',\\n content: \'Hello, what is AI?\',\\n file_ids: [\'file-abc123\']\\n },\\n {\\n role: \'user\',\\n content: \'How does AI work? Explain it in simple terms.\'\\n }\\n ]\\n })\\n});"},{"lang":"Python","source":"import requests\\n\\nurl = \'http://localhost:1337/v1/threads\'\\npayload = {\\n \'messages\': [\\n {\\n \'role\': \'user\',\\n \'content\': \'Hello, what is AI?\',\\n \'file_ids\': [\'file-abc123\']\\n },\\n {\\n \'role\': \'user\',\\n \'content\': \'How does AI work? Explain it in simple terms.\'\\n }\\n ]\\n}\\n\\nresponse = requests.post(url, json=payload)\\nprint(response.text)"}]},"get":{"operationId":"listThreads","tags":["Threads"],"summary":"List threads","description":"Retrieves a list of all threads available in the system.\\n","responses":{"200":{"description":"List of threads retrieved successfully","content":{"application/json":{"schema":{"type":"array","items":{"$ref":"#/components/schemas/ThreadObject"},"example":[{"id":"thread_abc123","object":"thread","created_at":1699014083,"assistants":["assistant-001"],"metadata":{},"messages":[]},{"id":"thread_abc456","object":"thread","created_at":1699014083,"assistants":["assistant-002","assistant-003"],"metadata":{}}]}}}}},"x-codeSamples":[{"lang":"cURL","source":"curl http://localhost:1337/v1/threads \\\\ \\n -H \\"Content-Type: application/json\\""},{"lang":"JavaScript","source":"const fetch = require(\'node-fetch\'); \\n\\nfetch(\'http://localhost:1337/v1/threads\', { \\n method: \'GET\', \\n headers: {\'Content-Type\': \'application/json\'} \\n}).then(res => res.json()) \\n.then(json => console.log(json));"},{"lang":"Node.js","source":"const fetch = require(\'node-fetch\');\\n\\nfetch(\'http://localhost:1337/v1/threads\', {\\n method: \'GET\',\\n headers: {\'Content-Type\': \'application/json\'}\\n}).then(res => res.json())\\n.then(json => console.log(json));"},{"lang":"Python","source":"import requests\\n\\nurl = \'http://localhost:1337/v1/threads\'\\nheaders = {\'Content-Type\': \'application/json\'}\\n\\nresponse = requests.get(url, headers=headers)\\nprint(response.json())"}]}},"/threads/{thread_id}":{"get":{"operationId":"getThread","tags":["Threads"],"summary":"Retrieve thread","description":"Retrieves detailed information about a specific thread using its thread_id. Equivalent to OpenAI\'s retrieve thread. \\n","parameters":[{"in":"path","name":"thread_id","required":true,"schema":{"type":"string"},"description":"The ID of the thread to retrieve.\\n"}],"responses":{"200":{"description":"Thread details retrieved successfully","content":{"application/json":{"schema":{"$ref":"#/components/schemas/GetThreadResponse"}}}}},"x-codeSamples":[{"lang":"cURL","source":"curl http://localhost:1337/v1/threads/{thread_id}\\n"}]},"patch":{"operationId":"modifyThread","tags":["Threads"],"summary":"Modify thread","description":"Modifies a thread. 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