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title: Mistral Fine-tuning Interface
emoji: π
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: interface_app.py
pinned: false
license: apache-2.0
---
# π Mistral Fine-tuning & Hosting Interface
A comprehensive Gradio interface for fine-tuning and deploying Mistral models with LoRA.
## Features
- π₯ **Fine-tuning**: Train Mistral models with LoRA on custom datasets
- π **API Hosting**: Deploy fine-tuned models as REST APIs
- π§ͺ **Test Inference**: Test your models with an intuitive interface
- π **GPU Recommendations**: Automatic parameter suggestions based on available GPU
- πΎ **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.
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