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Unsloth Fine-tuning Notebooks for Google Colab, Kaggle, Hugging Face and more.

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📒 Fine-tuning Notebooks

Below are our notebooks for Google Colab categorized by model. You can also view our Kaggle notebooks here.

Llama Notebooks

Model Type Colab Link
Llama3.1 (8B) Alpaca Open in Colab
TinyLlama (1.1B) Alpaca Open in Colab
Llama3 (8B) Alpaca Open in Colab
Llama3.2 (1B and 3B) Conversational Open in Colab
Llama3 (8B) ORPO Open in Colab
Llama3 (8B) CSV Open in Colab
Llama3.1 (8B) Inference Open in Colab
Llama3.2 (11B) Vision Open in Colab

Phi Notebooks

Model Type Colab Link
Phi 3 Medium Conversational Open in Colab
Phi 3.5 Mini Conversational Open in Colab

Mistral Notebooks

Model Type Colab Link
Mistral v0.3 (7B) Alpaca Open in Colab
Mistral Small (22B) Alpaca Open in Colab
Mistral Nemo (12B) Alpaca Open in Colab
Mistral v0.3 (7B) Conversational Open in Colab
Mistral v0.3 (7B) CPT Open in Colab
Mistral (7B) Text Completion Open in Colab
Pixtral (12B) Vision Open in Colab

Qwen Notebooks

Model Type Colab Link
Qwen2.5 (7B) Alpaca Open in Colab
Qwen2 (7B) Alpaca Open in Colab
Qwen2.5 Coder (14B) Conversational Open in Colab
Qwen2 VL (7B) Vision Open in Colab

Gemma Notebooks

Model Type Colab Link
Gemma2 (2B) Alpaca Open in Colab
Gemma2 (9B) Alpaca Open in Colab
CodeGemma (7B) Conversational Open in Colab

Other notebooks Notebooks

Model Type Colab Link
Zephyr (7B) DPO Open in Colab
Unsloth Studio Unsloth Studio Open in Colab

📒 Kaggle Notebooks

Click for all our Kaggle notebooks categorized by model:

Llama Notebooks

Model Type Kaggle Link
TinyLlama (1.1B) Alpaca Open in Kaggle
Llama3.1 (8B) Alpaca Open in Kaggle
Llama3 (8B) Alpaca Open in Kaggle
Llama3.2 (1B and 3B) Conversational Open in Kaggle
Llama3 (8B) ORPO Open in Kaggle
Llama3 (8B) CSV Open in Kaggle
Llama3.1 (8B) Inference Open in Kaggle
Llama3.2 (11B) Vision Open in Kaggle

Phi Notebooks

Model Type Kaggle Link
Phi 3.5 Mini Conversational Open in Kaggle
Phi 3 Medium Conversational Open in Kaggle

Mistral Notebooks

Model Type Kaggle Link
Mistral Small (22B) Alpaca Open in Kaggle
Mistral Nemo (12B) Alpaca Open in Kaggle
Mistral v0.3 (7B) Alpaca Open in Kaggle
Mistral v0.3 (7B) Conversational Open in Kaggle
Mistral v0.3 (7B) CPT Open in Kaggle
Mistral (7B) Text Completion Open in Kaggle
Pixtral (12B) Vision Open in Kaggle

Qwen Notebooks

Model Type Kaggle Link
Qwen2 (7B) Alpaca Open in Kaggle
Qwen2.5 (7B) Alpaca Open in Kaggle
Qwen2.5 Coder (14B) Conversational Open in Kaggle
Qwen2 VL (7B) Vision Open in Kaggle

Gemma Notebooks

Model Type Kaggle Link
Gemma2 (2B) Alpaca Open in Kaggle
Gemma2 (9B) Alpaca Open in Kaggle
CodeGemma (7B) Conversational Open in Kaggle

Other notebooks Notebooks

Model Type Kaggle Link
Zephyr (7B) DPO Open in Kaggle
Unsloth Studio Unsloth Studio Open in Kaggle

✨ Contributing to Notebooks

If you'd like to contribute to our notebooks, here's a guide to get you started:

  1. Find the Template: We've provided a template notebook called Template_Notebook.ipynb in the root directory of this project. This template contains the basic structure and formatting guidelines for all notebooks in this collection.
  2. Create Your Notebook:
    • Make a copy of Template_Notebook.ipynb.
    • Rename the copied file to follow this naming convention:
      • LLM Notebooks: <Model Name>-<Type>.ipynb (e.g., Mistral_v0.3_(7B)-Alpaca.ipynb)
      • Vision Notebooks: <Model Name>-Vision.ipynb (e.g., Llava_v1.6_(7B)-Vision.ipynb)
      • Example of <Type>: Alpaca, Conversational, CPT, DPO, ORPO, Text_Completion, CSV, Inference, Unsloth_Studio
  3. Place in original_template: Once your notebook is ready, move it to the original_template directory.
  4. Update Notebooks: Run the following command in your terminal:
    python update_all_notebooks.py
    This script will automatically:
    • Copy your notebook from original_template to the notebooks directory.
    • Update the notebook's internal sections (like Installation, News) to ensure consistency.
    • Add your notebook to the appropriate list in this README.md file.
  5. Create a Pull Request: After that, just create a pull request (PR) to merge your changes, making it available for everyone!
    • We appreciate your contributions and look forward to reviewing your notebooks!

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