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https://github.com/codewithcharan/finetuning-llama2
https://github.com/codewithcharan/finetuning-llama2
Last synced: 9 days ago
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- Host: GitHub
- URL: https://github.com/codewithcharan/finetuning-llama2
- Owner: CodeWithCharan
- License: mit
- Created: 2025-01-09T16:45:35.000Z (17 days ago)
- Default Branch: main
- Last Pushed: 2025-01-09T17:01:03.000Z (17 days ago)
- Last Synced: 2025-01-09T17:52:14.834Z (17 days ago)
- Language: Jupyter Notebook
- Size: 3.31 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Finetuning-LLama2
## Introduction
This project demonstrates how to fine-tune the LLama2 model for specific tasks. Fine-tuning allows you to adapt a pre-trained model to better fit the requirements of your particular application, improving performance and accuracy. Follow the steps below:
1. Load the pre-trained LLama2 model.
2. Prepare your dataset for fine-tuning.
3. Configure the training parameters.
4. Start the fine-tuning process.