CodeUp_Llama_2_13B_Chat_HF.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Troyanovsky/Local-LLM-Comparison-Colab-UI/blob/main/CodeUp_Llama_2_13B_Chat_HF.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XNkpBtLvuTOp"
      },
      "source": [
        "## CodeUp-Llama-2-13B-Chat-HF WebUI\n",
        "1. Run the following cell, takes ~5 min\n",
        "2. Click the gradio link at the bottom\n",
        "3. In Chat settings - Instruction Template: Alpaca\n",
        "\n",
        "```\n",
        "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n",
        "\n",
        "### Instruction:\n",
        "{prompt}\n",
        "\n",
        "### Response:\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "D-MiHp_bveP6",
        "outputId": "83b288d5-e844-4db0-f654-ed5410de497d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Cloning into 'text-generation-webui'...\n",
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            "\n",
            "You are in 'detached HEAD' state. You can look around, make experimental\n",
            "changes and commit them, and you can discard any commits you make in this\n",
            "state without impacting any branches by switching back to a branch.\n",
            "\n",
            "If you want to create a new branch to retain commits you create, you may\n",
            "do so (now or later) by using -c with the switch command. Example:\n",
            "\n",
            "  git switch -c <new-branch-name>\n",
            "\n",
            "Or undo this operation with:\n",
            "\n",
            "  git switch -\n",
            "\n",
            "Turn off this advice by setting config variable advice.detachedHead to false\n",
            "\n",
            "/content/text-generation-webui\n",
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            "  Running command git clone --filter=blob:none --quiet https://github.com/huggingface/peft /tmp/pip-req-build-lxx_duqf\n",
            "  Running command git rev-parse -q --verify 'sha^96c0277a1b9a381b10ab34dbf84917f9b3b992e6'\n",
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            "Building wheels for collected packages: llama-cpp-python, peft, ffmpy, pathtools\n",
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            "  Created wheel for pathtools: filename=pathtools-0.1.2-py3-none-any.whl size=8791 sha256=a7d8325a53ee20574caca53f2c9e90d92a3bae8d21a756c8b4bb333d9bf6dbbd\n",
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            "Successfully built llama-cpp-python peft ffmpy pathtools\n",
            "Installing collected packages: tokenizers, sentencepiece, safetensors, pydub, pathtools, ffmpy, bitsandbytes, xxhash, websockets, smmap, setproctitle, sentry-sdk, semantic-version, rouge, python-multipart, Pillow, orjson, markdown-it-py, h11, einops, docker-pycreds, diskcache, dill, colorama, aiofiles, uvicorn, starlette, multiprocess, mdit-py-plugins, llama-cpp-python-cuda, llama-cpp-python, huggingface-hub, httpcore, gitdb, transformers, httpx, GitPython, fastapi, wandb, gradio_client, datasets, gradio, accelerate, peft, exllama, auto-gptq\n",
            "  Attempting uninstall: Pillow\n",
            "    Found existing installation: Pillow 9.4.0\n",
            "    Uninstalling Pillow-9.4.0:\n",
            "      Successfully uninstalled Pillow-9.4.0\n",
            "  Attempting uninstall: markdown-it-py\n",
            "    Found existing installation: markdown-it-py 3.0.0\n",
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            "      Successfully uninstalled markdown-it-py-3.0.0\n",
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            "    Found existing installation: mdit-py-plugins 0.4.0\n",
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            "      Successfully uninstalled mdit-py-plugins-0.4.0\n",
            "Successfully installed GitPython-3.1.32 Pillow-10.0.0 accelerate-0.21.0 aiofiles-23.1.0 auto-gptq-0.3.0+cu117 bitsandbytes-0.41.0 colorama-0.4.6 datasets-2.14.3 dill-0.3.7 diskcache-5.6.1 docker-pycreds-0.4.0 einops-0.6.1 exllama-0.0.9+cu117 fastapi-0.95.2 ffmpy-0.3.1 gitdb-4.0.10 gradio-3.33.1 gradio_client-0.2.5 h11-0.14.0 httpcore-0.17.3 httpx-0.24.1 huggingface-hub-0.16.4 llama-cpp-python-0.1.77 llama-cpp-python-cuda-0.1.77+cu117 markdown-it-py-2.2.0 mdit-py-plugins-0.3.3 multiprocess-0.70.15 orjson-3.9.2 pathtools-0.1.2 peft-0.5.0.dev0 pydub-0.25.1 python-multipart-0.0.6 rouge-1.0.1 safetensors-0.3.1 semantic-version-2.10.0 sentencepiece-0.1.99 sentry-sdk-1.29.2 setproctitle-1.3.2 smmap-5.0.0 starlette-0.27.0 tokenizers-0.13.3 transformers-4.31.0 uvicorn-0.23.2 wandb-0.15.8 websockets-11.0.3 xxhash-3.3.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "PIL"
                ]
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Collecting llama-cpp-python\n",
            "  Downloading llama_cpp_python-0.1.77.tar.gz (1.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m18.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: typing-extensions>=4.5.0 in /usr/local/lib/python3.10/dist-packages (from llama-cpp-python) (4.7.1)\n",
            "Requirement already satisfied: numpy>=1.20.0 in /usr/local/lib/python3.10/dist-packages (from llama-cpp-python) (1.22.4)\n",
            "Requirement already satisfied: diskcache>=5.6.1 in /usr/local/lib/python3.10/dist-packages (from llama-cpp-python) (5.6.1)\n",
            "Building wheels for collected packages: llama-cpp-python\n",
            "  Building wheel for llama-cpp-python (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for llama-cpp-python: filename=llama_cpp_python-0.1.77-cp310-cp310-linux_x86_64.whl size=1368895 sha256=e3da12332a59ae7369247dae65d6af356efcfd38b57c9b2a2a0fa6355f9de953\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-7vs8v0p8/wheels/aa/ed/39/87f2ad350dbbf13b600ac744899186b8647c5323c62e2bb348\n",
            "Successfully built llama-cpp-python\n",
            "Installing collected packages: llama-cpp-python\n",
            "Successfully installed llama-cpp-python-0.1.77\n",
            " *** Download Progress Summary as of Thu Aug  3 10:28:39 2023 *** \n",
            "=\n",
            "[#833220 8.5GiB/8.5GiB(99%) CN:16 DL:61MiB]\n",
            "FILE: /content/text-generation-webui/models//codeup-llama-2-13b-chat-hf.ggmlv3.q5_K_M.bin\n",
            "-\n",
            "\n",
            "\u001b[0m\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "833220|\u001b[1;32mOK\u001b[0m  |   136MiB/s|/content/text-generation-webui/models//codeup-llama-2-13b-chat-hf.ggmlv3.q5_K_M.bin\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n",
            "/content/text-generation-webui\n",
            "2023-08-03 10:28:52 WARNING:\u001b[33mThe gradio \"share link\" feature uses a proprietary executable to create a reverse tunnel. Use it with care.\u001b[0m\n",
            "2023-08-03 10:29:00.409768: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "2023-08-03 10:29:02 INFO:\u001b[32mLoading codeup-llama-2-13b-chat-hf.ggmlv3.q5_K_M.bin...\u001b[0m\n",
            "ggml_init_cublas: found 1 CUDA devices:\n",
            "  Device 0: Tesla T4, compute capability 7.5\n",
            "2023-08-03 10:29:15 INFO:\u001b[32mllama.cpp weights detected: models/codeup-llama-2-13b-chat-hf.ggmlv3.q5_K_M.bin\n",
            "\u001b[0m\n",
            "2023-08-03 10:29:15 INFO:\u001b[32mCache capacity is 0 bytes\u001b[0m\n",
            "llama.cpp: loading model from models/codeup-llama-2-13b-chat-hf.ggmlv3.q5_K_M.bin\n",
            "llama_model_load_internal: format     = ggjt v3 (latest)\n",
            "llama_model_load_internal: n_vocab    = 32000\n",
            "llama_model_load_internal: n_ctx      = 2048\n",
            "llama_model_load_internal: n_embd     = 5120\n",
            "llama_model_load_internal: n_mult     = 6912\n",
            "llama_model_load_internal: n_head     = 40\n",
            "llama_model_load_internal: n_head_kv  = 40\n",
            "llama_model_load_internal: n_layer    = 40\n",
            "llama_model_load_internal: n_rot      = 128\n",
            "llama_model_load_internal: n_gqa      = 1\n",
            "llama_model_load_internal: rnorm_eps  = 5.0e-06\n",
            "llama_model_load_internal: n_ff       = 13824\n",
            "llama_model_load_internal: freq_base  = 10000.0\n",
            "llama_model_load_internal: freq_scale = 1\n",
            "llama_model_load_internal: ftype      = 17 (mostly Q5_K - Medium)\n",
            "llama_model_load_internal: model size = 13B\n",
            "llama_model_load_internal: ggml ctx size =    0.11 MB\n",
            "llama_model_load_internal: using CUDA for GPU acceleration\n",
            "llama_model_load_internal: mem required  =  601.53 MB (+ 1600.00 MB per state)\n",
            "llama_model_load_internal: allocating batch_size x (640 kB + n_ctx x 160 B) = 480 MB VRAM for the scratch buffer\n",
            "llama_model_load_internal: offloading 40 repeating layers to GPU\n",
            "llama_model_load_internal: offloading non-repeating layers to GPU\n",
            "llama_model_load_internal: offloading v cache to GPU\n",
            "llama_model_load_internal: offloading k cache to GPU\n",
            "llama_model_load_internal: offloaded 43/43 layers to GPU\n",
            "llama_model_load_internal: total VRAM used: 10775 MB\n",
            "llama_new_context_with_model: kv self size  = 1600.00 MB\n",
            "AVX = 1 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | VSX = 0 | \n",
            "2023-08-03 10:30:31 INFO:\u001b[32mLoaded the model in 89.29 seconds.\n",
            "\u001b[0m\n",
            "2023-08-03 10:30:31 INFO:\u001b[32mLoading the extension \"gallery\"...\u001b[0m\n",
            "Running on local URL:  http://127.0.0.1:7860\n",
            "Running on public URL: https://631a7113091680d43a.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades (NEW!), check out Spaces: https://huggingface.co/spaces\n",
            "\n",
            "llama_print_timings:        load time =  1484.88 ms\n",
            "llama_print_timings:      sample time =   347.68 ms /   429 runs   (    0.81 ms per token,  1233.88 tokens per second)\n",
            "llama_print_timings: prompt eval time =  1484.74 ms /    70 tokens (   21.21 ms per token,    47.15 tokens per second)\n",
            "llama_print_timings:        eval time = 23846.04 ms /   428 runs   (   55.72 ms per token,    17.95 tokens per second)\n",
            "llama_print_timings:       total time = 28836.41 ms\n",
            "Output generated in 30.02 seconds (14.26 tokens/s, 428 tokens, context 71, seed 965405669)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1484.88 ms\n",
            "llama_print_timings:      sample time =     0.64 ms /     1 runs   (    0.64 ms per token,  1552.80 tokens per second)\n",
            "llama_print_timings: prompt eval time =     0.00 ms /     1 tokens (    0.00 ms per token,      inf tokens per second)\n",
            "llama_print_timings:        eval time =    82.80 ms /     1 runs   (   82.80 ms per token,    12.08 tokens per second)\n",
            "llama_print_timings:       total time =    86.85 ms\n",
            "Output generated in 0.99 seconds (0.00 tokens/s, 0 tokens, context 499, seed 960910345)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1484.88 ms\n",
            "llama_print_timings:      sample time =   669.04 ms /   798 runs   (    0.84 ms per token,  1192.76 tokens per second)\n",
            "llama_print_timings: prompt eval time =   974.60 ms /    34 tokens (   28.66 ms per token,    34.89 tokens per second)\n",
            "llama_print_timings:        eval time = 47645.19 ms /   797 runs   (   59.78 ms per token,    16.73 tokens per second)\n",
            "llama_print_timings:       total time = 55507.86 ms\n",
            "Output generated in 56.42 seconds (14.13 tokens/s, 797 tokens, context 67, seed 1473240595)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1484.88 ms\n",
            "llama_print_timings:      sample time =   557.97 ms /   674 runs   (    0.83 ms per token,  1207.95 tokens per second)\n",
            "llama_print_timings: prompt eval time =   958.05 ms /    37 tokens (   25.89 ms per token,    38.62 tokens per second)\n",
            "llama_print_timings:        eval time = 40654.03 ms /   673 runs   (   60.41 ms per token,    16.55 tokens per second)\n",
            "llama_print_timings:       total time = 47665.96 ms\n",
            "Output generated in 48.79 seconds (13.79 tokens/s, 673 tokens, context 67, seed 692979728)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1484.88 ms\n",
            "llama_print_timings:      sample time =   365.33 ms /   448 runs   (    0.82 ms per token,  1226.30 tokens per second)\n",
            "llama_print_timings: prompt eval time =   953.75 ms /    35 tokens (   27.25 ms per token,    36.70 tokens per second)\n",
            "llama_print_timings:        eval time = 27056.64 ms /   447 runs   (   60.53 ms per token,    16.52 tokens per second)\n",
            "llama_print_timings:       total time = 31921.21 ms\n",
            "Output generated in 32.98 seconds (13.55 tokens/s, 447 tokens, context 65, seed 889217490)\n",
            "Llama.generate: prefix-match hit\n",
            "\n",
            "llama_print_timings:        load time =  1484.88 ms\n",
            "llama_print_timings:      sample time =   544.01 ms /   670 runs   (    0.81 ms per token,  1231.59 tokens per second)\n",
            "llama_print_timings: prompt eval time =   974.02 ms /    40 tokens (   24.35 ms per token,    41.07 tokens per second)\n",
            "llama_print_timings:        eval time = 41833.25 ms /   669 runs   (   62.53 ms per token,    15.99 tokens per second)\n",
            "llama_print_timings:       total time = 48331.33 ms\n",
            "Output generated in 49.32 seconds (13.56 tokens/s, 669 tokens, context 70, seed 2110606649)\n"
          ]
        }
      ],
      "source": [
        "%cd /content\n",
        "!apt-get -y install -qq aria2\n",
        "\n",
        "!git clone -b V20230801 https://github.com/Troyanovsky/text-generation-webui\n",
        "%cd /content/text-generation-webui\n",
        "!pip install -r requirements.txt\n",
        "!pip install -U gradio==3.32.0\n",
        "\n",
        "!pip uninstall -y llama-cpp-python\n",
        "!CMAKE_ARGS=\"-DLLAMA_CUBLAS=on\" FORCE_CMAKE=1 pip install llama-cpp-python --no-cache-dir\n",
        "\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/TheBloke/CodeUp-Llama-2-13B-Chat-HF-GGML/resolve/main/codeup-llama-2-13b-chat-hf.ggmlv3.q5_K_M.bin -d /content/text-generation-webui/models/ -o codeup-llama-2-13b-chat-hf.ggmlv3.q5_K_M.bin\n",
        "\n",
        "%cd /content/text-generation-webui\n",
        "!python server.py --share --chat --n-gpu-layers 200000 --model codeup-llama-2-13b-chat-hf.ggmlv3.q5_K_M.bin"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNCnuJYCiKEy1n8ylIYhvtF",
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}