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vllm-mlx
Python

vllm-mlx

High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuous batching, multimodal models, MCP tool calling, and Claude Code support.

by waybarrios · GitHub
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anthropicanthropic-apiapple-siliconApache-2.0PythonSelf-hostable
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In plain words

Run various AI models on your Apple computer to process text and images efficiently.

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2k1k
2026-07-202026-08-31
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📄 About

High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuous batching, multimodal models, MCP tool calling, and Claude Code support.

vllm-mlx has 1.6k stars on GitHub. It has been forked 219 times. vllm-mlx is written mainly in Python. It has been in active development since 2025. vllm-mlx is available under the Apache-2.0 license. Its main topics are anthropic, anthropic-api, apple-silicon, claude-code.

Frequently asked questions

What is vllm-mlx?

High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuous batching, multimodal models, MCP tool calling, and Claude Code support.

Is vllm-mlx open source?

vllm-mlx is an open-source project. It is released under the Apache-2.0 license.

Is vllm-mlx free?

Yes. vllm-mlx is free and open source — you can use, modify and self-host it.

What license does vllm-mlx use?

vllm-mlx is available under the Apache-2.0 license.

What language is vllm-mlx written in?

vllm-mlx is written mainly in Python.

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