TinyLlama-Base-CodeGen

Tiny-Llama-Base-Fine-tuning-for-code-gen

Overview

Welcome to the Tiny-Llama-Base-Fine-tuning-for-code-gen project! This repository contains code and resources for fine-tuning a Tiny Llama base model for code generation tasks. The project aims to leverage advanced machine learning techniques to improve the performance of code generation models.

Table of Contents

• Overview
• Features
• Installation
• Usage
• Contributing
• License
• Acknowledgements

Features

• Fine-tuning Tiny Llama base model for code generation
• Support for various programming languages
• High-quality code generation with minimal errors
• Customizable training parameters

Installation

To get started with this project, follow the instructions below:

1. Clone the repository:

   git clone https://github.com/your-username/Tiny-Llama-Base-Fine-tuning-for-code-gen.git

2. Change to project directory:

 cd Tiny-Llama-Base-Fine-tuning-for-code-gen

3. Install the required dependencies:

 pip install -r requirements.txt

Usage

To fine-tune the Tiny Llama base model for code generation, follow these steps:

1. Prepare your dataset and ensure it is in the correct format.
2. Configure the training parameters in the config.json file.
3. Run the training script:

 python train.py --config config.json

Contributions

We welcome contributions to the Tiny-Llama-Base-Fine-tuning-for-code-gen project!

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgements

We would like to thank the developers and the community for their support and contributions to this project.