mlx-engine - Apple MLX LLM Engine for LM Studio
## Built with - [mlx-lm](https://github.com/ml-explore/mlx-examples) - Apple MLX inference engine (MIT) - [Outlines](https://github.com/dottxt-ai/outlines) - Structured output for LLMs (Apache 2.0) - [mlx-vlm](https://github.com/Blaizzy/mlx-vlm) - Vision model inferencing for MLX (MIT)
## How to use in LM Studio LM Studio 0.3.4 and newer for Mac ships pre-bundled with mlx-engine. Download LM Studio from [here](https://lmstudio.ai/download?os=mac)
## Standalone Demo To run a demo of model load and inference: 1. Clone the repository ``` git clone https://github.com/lmstudio-ai/mlx-engine.git cd mlx-engine ``` 2. Create a virtual environment (optional) ``` python -m venv myenv source myenv/bin/activate ``` 3. Install the required dependency packages ``` pip install -r requirements.txt ``` 4. Run the `demo.py` script ``` python demo.py --model ~/.cache/lm-studio/models/mlx-community/Meta-Llama-3.1-8B-Instruct-4bit ```