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The fastest way to run Qwen 3.8 Flash Next and Qwen 3.8 27B on a Mac: 125 tok/s in OpenCode on an M5 Max. Native MTP speculative decoding on Apple Silicon, exact at any temperature. OpenAI and Anthropic compatible local server.

★ 2.5K195 forksPythonApache-2.0youssofal

MTPLX is an Apple Silicon LLM inference engine and Mac app that uses Qwen's native multi-token prediction heads for exact speculative decoding (1.6x-2.24x faster decode at any temperature). It serves local models over OpenAI- and Anthropic-compatible APIs for coding agents and chat.

Use Cases

Run Qwen models locally on Apple Silicon MacsServe an OpenAI-compatible local API endpointServe an Anthropic-compatible endpoint for Claude CodeAccelerate LLM decoding with native MTP speculative decodingPower local coding agents like OpenCode, Cline and CursorChat with local models via a native desktop appTune decoding depth to a specific Mac's hardwareBenchmark local model throughput (tok/s)Run large MoE models with SSD-streamed n-gram tablesCollect and manage local model libraries

Built With

Language
Python
Frameworks
MLX · mlx-lm · FastAPI · Hugging Face Hub · Transformers · setuptools · Vite · React

Tags

apple-silicon · mlx · metal · speculative-decoding · mtp · inference-engine · local-llm · openai-compatible · anthropic-compatible · quantization · macos · qwen · local-server · cli · desktop-app · turbo-decoding