MLX Chat provides a simple Streamlit-based UI for interacting with MLX-LM models. It's designed for users who want a quick and easy way to test and use various language models locally via the MLX framework.

How It Works

The UI leverages Streamlit for its web interface and integrates with MLX-LM to load and run language models. Users can select models, input prompts, and receive responses directly within the browser. The backend handles model loading and inference using the MLX library.

Quick Start & Requirements

• Install: ./install.sh or ./install.sh refresh
• Run: ./run.sh or ./run.sh --models mymodels.txt
• Prerequisites: MLX, Streamlit. Specific Python version and hardware requirements are not explicitly detailed but MLX typically requires macOS with Apple Silicon.

Highlighted Details

• Streamlit-based UI for MLX-LM.
• Supports custom model files via --models argument.
• Easy installation and execution scripts provided.

Maintenance & Community

No specific details on contributors, sponsorships, or community channels are provided in the README.

Licensing & Compatibility

The license is not specified in the README.

Limitations & Caveats

The README mentions that using install.sh refresh may break functionality. Compatibility with non-macOS or non-Apple Silicon hardware is not guaranteed due to MLX's underlying requirements.