Below are our notebooks for Google Colab categorized by model. You can view our Kaggle notebooks here.
Use our guided notebooks to prep data, train, evaluate, and save your model. View our main GitHub repo here.

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!