Welcome to the LLAMA2 Fine-Tuning Tutorial with AutoTrain! This repository contains a detailed guide on how to fine-tune the LLAMA2 model for custom datasets using the AutoTrain framework.
Before you get started, ensure you have the following dependencies installed:
pip install autotrain-advanced
pip install huggingface_hubIn this tutorial, you will learn:
- The optimal dataset structure for LLAMA2 fine-tuning
- Detailed parameter configuration for effective training
The main content of this repository is presented in the Jupyter Notebook:
llama2_fine_tuning_tutorial.ipynb
Stay tuned for more exciting developments! Here's what's on the horizon:
- Quantizing the Model: Optimize the LLAMA2 model to run efficiently on CPUs.
- Chat App Development: Create an interactive chat application where you can communicate with the model using images or PDFs.
Stay Connected
Feel free to explore the tutorial and engage with the LLAMA2 model. Don't hesitate to reach out if you have questions or feedback. Connect with us on LinkedIn for updates and discussions!
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