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@naderkhalil
naderkhalil committed Dec 11, 2024
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Expand Up @@ -23,21 +23,21 @@ We've split the notebooks into categories based on the type of task they're desi

### LLM Finetuning/Training

| Notebook | Description | Min. GPU | Deploy |
| -------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------- | -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --- |
| [Fine-tune Llama3 using Direct Preference Optimization](https://github.com/brevdev/notebooks/blob/main/llama3dpo.ipynb) | Fine-tune Llama3 using DPO | 1x A100 | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/llama3dpo.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/llama3dpo) |
| [Fine-tune Llama3 using SFT](https://github.com/brevdev/notebooks/blob/main/llama3_finetune_inference.ipynb) | Fine-tune and deploy Llama 3 | 2x A100 | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/llama3_finetune_inference.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/llama3_finetune_inference) |
| [Fine-tune Llama 2](https://github.com/brevdev/notebooks/blob/main/llama2-finetune.ipynb) | A Guide to Fine-tuning Llama 2 | 1x A10G | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/llama2-finetune.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/llama2-finetune) [![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/youtubebadge.svg)](https://www.youtube.com/watch?v=lPLrODJjHUE) |
| [Fine-tune Llama 2 - Own Data](https://github.com/brevdev/notebooks/blob/main/llama2-finetune-own-data.ipynb) | Fine-tune Llama 2 on your own dataset | 1x A10G | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/llama2-finetune-own-data.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/llama2-finetune-own-data) [![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/youtubebadge.svg)](https://www.youtube.com/watch?v=lPLrODJjHUE) |
| [Fine-tune Mistral](https://github.com/brevdev/notebooks/blob/main/mistral-finetune.ipynb) | A Guide to Fine-tuning Mistral | 1x A10G | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/mistral-finetune.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/mistral-finetune) |
| [Fine-tune Mistral using NVIDIA NeMO and PEFT](https://github.com/brevdev/notebooks/blob/main/mistral-finetune-nemo.ipynb) | Fine-tune Mistral using NVIDIA NeMO and PEFT | 1x A100 | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/mistral-finetune-nemo.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/mistral_nemo_finetune) |
| [Fine-tune Mistral - Own Data](https://github.com/brevdev/notebooks/blob/main/mistral-finetune-own-data.ipynb) | Fine-tune Mistral on your own dataset | 1x A10G | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/mistral-finetune-own-data.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/mistral-finetune-own-data) [![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/youtubebadge.svg)](https://www.youtube.com/watch?v=kmkcNVvEz-k) |
| [Fine-tune Mixtral (8x7B MoE)](https://github.com/brevdev/notebooks/blob/main/mixtral-finetune.ipynb) | A Guide to Fine-tuning Mixtral, Mistral's 8x7B MoE | 4x T4 | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/mixtral-finetune.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/mixtral-finetune-own-data) [![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/youtubebadge.svg)](https://www.youtube.com/watch?v=zbKz4g100SQ) | |
| [Fine-tune Mixtral (8x7B MoE) - Own Data](https://github.com/brevdev/notebooks/blob/main/mixtral-finetune-own-data.ipynb) | A Guide to Fine-tuning Mixtral on your own dataset | 4x T4 | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/mixtral-finetune-own-data.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/mixtral-finetune-own-data) |
| [Fine-tune BioMistral](https://github.com/brevdev/notebooks/blob/main/biomistral-finetune.ipynb) | A Guide to Fine-tuning BioMistral | 1x A10G | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/biomistral-finetune.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.xlarge&name=biomistral-finetune&file=https://github.com/brevdev/notebooks/raw/main/biomistral-finetune.ipynb&python=3.10&cuda=12.0.1) |
| [Fine-tune Phi-2](https://github.com/brevdev/notebooks/blob/main/phi2-finetune.ipynb) | A Guide to Fine-tuning Phi-2 | 1x A10G | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/phi2-finetune.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/phi2-finetune-own-data) [![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/youtubebadge.svg)](https://www.youtube.com/watch?v=t55XrJddjLA) |
| [Fine-tune Phi-2 - Own Data](https://github.com/brevdev/notebooks/blob/main/phi2-finetune-own-data.ipynb) | Fine-tune Phi-2 on your own dataset | 1x A10G | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/phi2-finetune-own-data.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/phi2-finetune-own-data) [![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/youtubebadge.svg)](https://www.youtube.com/watch?v=t55XrJddjLA) |
| [Training Question/Answer models using NVIDIA NeMo ](https://github.com/brevdev/notebooks/blob/main/gguf-export.ipynb) | Use NeMo to train BERT, GPT, and S2S models for Q&A tasks | 1x A10G | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/question_answer_nemo.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/question_answer_nemo) |
| Notebook | Description | Min. GPU | Deploy |
| ------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------- | -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [Fine-tune Llama3 using Direct Preference Optimization](https://github.com/brevdev/notebooks/blob/main/llama3dpo.ipynb) | Fine-tune Llama3 using DPO | 1x A100 | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/llama3dpo.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/llama3dpo) |
| [Fine-tune Llama3 using SFT](https://github.com/brevdev/notebooks/blob/main/llama3_finetune_inference.ipynb) | Fine-tune and deploy Llama 3 | 2x A100 | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/llama3_finetune_inference.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/llama3_finetune_inference) |
| [Fine-tune Llama 2](https://github.com/brevdev/notebooks/blob/main/llama2-finetune.ipynb) | A Guide to Fine-tuning Llama 2 | 1x A10G | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/llama2-finetune.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/llama2-finetune) [![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/youtubebadge.svg)](https://www.youtube.com/watch?v=lPLrODJjHUE) |
| [Fine-tune Llama 2 - Own Data](https://github.com/brevdev/notebooks/blob/main/llama2-finetune-own-data.ipynb) | Fine-tune Llama 2 on your own dataset | 1x A10G | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/llama2-finetune-own-data.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/llama2-finetune-own-data) [![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/youtubebadge.svg)](https://www.youtube.com/watch?v=lPLrODJjHUE) |
| [Fine-tune Mistral](https://github.com/brevdev/notebooks/blob/main/mistral-finetune.ipynb) | A Guide to Fine-tuning Mistral | 1x A10G | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/mistral-finetune.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/mistral-finetune) |
| [Fine-tune Mistral using NVIDIA NeMO and PEFT](https://github.com/brevdev/notebooks/blob/main/mistral-finetune-nemo.ipynb) | Fine-tune Mistral using NVIDIA NeMO and PEFT | 1x A100 | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/mistral-finetune-nemo.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/mistral_nemo_finetune) |
| [Fine-tune Mistral - Own Data](https://github.com/brevdev/notebooks/blob/main/mistral-finetune-own-data.ipynb) | Fine-tune Mistral on your own dataset | 1x A10G | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/mistral-finetune-own-data.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/mistral-finetune-own-data) [![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/youtubebadge.svg)](https://www.youtube.com/watch?v=kmkcNVvEz-k) |
| [Fine-tune Mixtral (8x7B MoE)](https://github.com/brevdev/notebooks/blob/main/mixtral-finetune.ipynb) | A Guide to Fine-tuning Mixtral, Mistral's 8x7B MoE | 4x T4 | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/mixtral-finetune.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/mixtral-finetune-own-data) [![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/youtubebadge.svg)](https://www.youtube.com/watch?v=zbKz4g100SQ) |
| [Fine-tune Mixtral (8x7B MoE) - Own Data](https://github.com/brevdev/notebooks/blob/main/mixtral-finetune-own-data.ipynb) | A Guide to Fine-tuning Mixtral on your own dataset | 4x T4 | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/mixtral-finetune-own-data.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/mixtral-finetune-own-data) |
| [Fine-tune BioMistral](https://github.com/brevdev/notebooks/blob/main/biomistral-finetune.ipynb) | A Guide to Fine-tuning BioMistral | 1x A10G | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/biomistral-finetune.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.xlarge&name=biomistral-finetune&file=https://github.com/brevdev/notebooks/raw/main/biomistral-finetune.ipynb&python=3.10&cuda=12.0.1) |
| [Fine-tune Phi-2](https://github.com/brevdev/notebooks/blob/main/phi2-finetune.ipynb) | A Guide to Fine-tuning Phi-2 | 1x A10G | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/phi2-finetune.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/phi2-finetune-own-data) [![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/youtubebadge.svg)](https://www.youtube.com/watch?v=t55XrJddjLA) |
| [Fine-tune Phi-2 - Own Data](https://github.com/brevdev/notebooks/blob/main/phi2-finetune-own-data.ipynb) | Fine-tune Phi-2 on your own dataset | 1x A10G | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/phi2-finetune-own-data.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/phi2-finetune-own-data) [![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/youtubebadge.svg)](https://www.youtube.com/watch?v=t55XrJddjLA) |
| [Training Question/Answer models using NVIDIA NeMo](https://github.com/brevdev/notebooks/blob/main/question_answer_nemo.ipynb) | Use NeMo to train BERT, GPT, and S2S models for Q&A tasks | 1x A10G | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brevdev/notebooks/blob/main/question_answer_nemo.ipynb) [![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/notebook/question_answer_nemo) |

### LLM Inference/Deployment

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