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license: mit | |
title: Gemma FineTuner | |
sdk: gradio | |
emoji: 🔥 | |
colorFrom: gray | |
colorTo: green | |
pinned: true | |
# Gemma Fine-tuning UI | |
A user-friendly interface for fine-tuning Google's Gemma models using Unsloth optimizations. | |
## Features | |
- Easy-to-use web interface for model fine-tuning | |
- Support for multiple data formats (CSV, JSONL, TEXT) | |
- Parameter-efficient fine-tuning with LoRA | |
- Real-time training progress visualization | |
- Model export in multiple formats | |
- Integrated text generation testing | |
## Installation | |
```bash | |
git clone https://github.com/codewithdark-git/Gemma-Finetune.git | |
cd Gemma-Finetune | |
pip install -r requirements.txt | |
``` | |
## Usage | |
1. Run the application: | |
```bash | |
python main.py | |
``` | |
2. Follow the UI steps: | |
- Upload your dataset | |
- Configure model parameters | |
- Start training | |
- Test and export your model | |
## Requirements | |
See requirements.txt for detailed dependencies. | |
## License | |
MIT License |