mlx-openai-server
cubist38
A high-performance API server that provides OpenAI-compatible endpoints for MLX models. Developed using Python and powered by the FastAPI framework, it provides an efficient, scalable, and user-friendly solution for running MLX-based vision and language models locally with an OpenAI-compatible interface.
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6 data points · 2025-09-20 → 2026-04-22How do you feel about this project?
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Question copied to clipboardWhat is the cubist38/mlx-openai-server GitHub project? Description: "A high-performance API server that provides OpenAI-compatible endpoints for MLX models. Developed using Python and powered by the FastAPI framework, it provides an efficient, scalable, and user-friendly solution for running MLX-based vision and language models locally with an OpenAI-compatible interface.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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