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README.md
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title: Mistral
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sdk: gradio
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sdk_version:
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app_file:
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pinned: false
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title: Mistral Fine-tuning Interface
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emoji: π
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sdk: gradio
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sdk_version: 4.44.0
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app_file: interface_app.py
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pinned: false
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license: apache-2.0
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# π Mistral Fine-tuning & Hosting Interface
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A comprehensive Gradio interface for fine-tuning and deploying Mistral models with LoRA.
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## Features
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- π₯ **Fine-tuning**: Train Mistral models with LoRA on custom datasets
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- π **API Hosting**: Deploy fine-tuned models as REST APIs
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- π§ͺ **Test Inference**: Test your models with an intuitive interface
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- π **GPU Recommendations**: Automatic parameter suggestions based on available GPU
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- πΎ **Model Management**: Easy model selection and management
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## Quick Start
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1. Upload your training dataset (JSON/JSONL format)
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2. Configure training parameters
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3. Start fine-tuning
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4. Test your model via inference tab
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5. Deploy as API for production use
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## Requirements
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See `requirements_interface.txt` for dependencies.
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## Documentation
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- Full setup guide in workspace
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- Detailed API documentation included
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- Example datasets and prompts provided
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## Author
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Created for RTL code generation and hardware design tasks.
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