Silicon Studio

The All-in-One Local AI Workbench for Apple Silicon

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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 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 page.

Option 2: Build from Source

Prerequisites:

• macOS 13+ (Ventura or later)
• Apple Silicon Mac
• Node.js 18+
• Python 3.10+ (Anaconda recommended)

# 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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Built with ❤️ for the Local AI Community