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---
title: Mistral Fine-tuning Interface
emoji: πŸš€
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: interface_app.py
pinned: false
license: apache-2.0
---

# πŸš€ Mistral Fine-tuning & Hosting Interface

A comprehensive Gradio interface for fine-tuning and deploying Mistral models with LoRA.

## Features

- πŸ”₯ **Fine-tuning**: Train Mistral models with LoRA on custom datasets
- 🌐 **API Hosting**: Deploy fine-tuned models as REST APIs
- πŸ§ͺ **Test Inference**: Test your models with an intuitive interface
- πŸ“Š **GPU Recommendations**: Automatic parameter suggestions based on available GPU
- πŸ’Ύ **Model Management**: Easy model selection and management

## Quick Start

1. Upload your training dataset (JSON/JSONL format)
2. Configure training parameters
3. Start fine-tuning
4. Test your model via inference tab
5. Deploy as API for production use

## Requirements

See `requirements_interface.txt` for dependencies.

## Documentation

- Full setup guide in workspace
- Detailed API documentation included
- Example datasets and prompts provided

## Author

Created for RTL code generation and hardware design tasks.