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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Fine-tune and run LLMs locally on your M-series Mac. A powerful desktop interface built on Apple's MLX framework for zero-setup AI.
| Date | Stars |
|---|---|
| 2026-07-31 | 287 |
| 2026-08-06 | 289 |
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# Silicon Studio <div align="center">  **The All-in-One Local AI Workbench for Apple Silicon** [](https://opensource.org/licenses/MIT) -black)  </div> --- **Silicon Studio** is a powerful, open-source desktop application designed to make local LLM fine-tuning and inference accessible to everyone on Apple Silicon Macs. Built on top of Apple's [MLX](https://github.com/ml-explore/mlx) framework, it provides a unified interface for data preparation, model management, fine-tuning, and evaluation. ## ✨ Features ### 🍎 Native Apple Silicon Performance Leverage the full power of your M1/M2/M3/M4 chips. Silicon Studio uses the MLX framework for efficient, hardware-accelerated fine-tuning (LoRA/QLoRA) and inference directly on your Mac. ### 📊 Data Preparation Studio A built-in studio to clean, format, and prepare your training datasets. - **Preview & Edit**: Visualize JSONL and CSV datasets instantly. - **Privacy Shield**: Automatically strip PII (Personally Identifiable Information) from your datasets using local NLP models. - **Format Conversion**: Convert between common formats (CSV -> JSONL) compatible with Llama, Mistral, and other chat templates. ### 🤖 Model Management Browse, download, and manage open-source models directly from Hugging Face. - **One-Click Downloads**: Supports popular architectures like Llama 3, Mistral, Qwen 2.5, Gemma, and Phi. - **Quantization Support**: Run large models efficiently with 4-bit and 8-bit quantization. ### 🦾 Fine-Tuning Engine Fine-tune models on your own data without a cloud GPU. - **LoRA / QLoRA**: Efficient low-rank adaptation for fine-tuning large models with minimal VRAM. - **Visual Configuration**: Configure learning rates, epochs, rank, and more with a simple UI. - **Real-time Monitoring**: Watch loss curves and training metrics in real-time.  ### 💬 Local Chat Inference Test your fine-tuned models immediately in a ChatGPT-like interface. - **Private & Offline**: Your data never leaves your device. - **Instant Switching**: Toggle between base models and your fine-tuned adapters.  ## 🚀 Getting Started ### Installation **Option 1: Download Release (Recommended)** Download the latest `.dmg` from the [Releases]([https://github.com/yourusername/silicon-studio/releases](https://github.com/rileycleavenger/Silicon-Studio/releases/tag/0.1.0)) page. **Option 2: Build from Source** Prerequisites: - macOS 13+ (Ventura or later) - Apple Silicon Mac - Node.js 18+ - Python 3.10+ (Anaconda recommended) ```bash # Clone the repository git clone [https://github.com/yourusername/silicon-studio.git](https://github.com/rileycleavenger/Silicon-Studio.git) cd silicon-studio # Install dependencies npm install # Setup Backend Environment cd backend # Create a conda env (recommended) or venv conda create -n silicon-studio python=3.11 conda activate silicon-studio pip install -r requirements.txt cd .. # Run Development Mode npm run dev ``` ## 🛠️ Tech Stack - **Frontend**: Electron, React, TypeScript, Vite, TailwindCSS - **Backend**: Python, FastAPI - **AI Engine**: Apple MLX, MLX-LM - **Data Processing**: Pandas, Presidio (Microsoft), Spacy ## 🤝 Contributing Contributions are welcome! We want to make local AI accessible to everyone. Refactoring, documentation, and new features are all appreciated. 1. Fork the Project 2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`) 3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`) 4. Push to the Branch (`git push origin feature/AmazingFeature`) 5. Open a Pull Request ## 📄 License Distributed under the MIT License. See `LICENSE` for more information. ---
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