Project Overview
vllm-mlx is a native MLX inference server optimized for Apple Silicon hardware, providing compatibility with OpenAI and Anthropic APIs for seamless integration into existing applications.
Key Features
- Supports text and vision-language models
- Continuous batching for efficient processing
- API compatibility with OpenAI and Anthropic specifications
Performance
According to the README, it achieves over 400 tokens per second on M1 Ultra, ideal for local development and privacy-sensitive scenarios.
Tech Stack and License
The primary language is Python, and the project is licensed under Apache-2.0.
Getting Started
For installation and usage instructions, please refer to the project README.










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