PMetal: high-performance Apple Silicon framework for local LLM inference, LoRA/QLoRA fine-tuning, serving, quantization, and MLX/Metal acceleration.
Build and manage machine learning models on Apple computers, including training and fine-tuning them locally.
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Free · no card · unsubscribe anytimePMetal: high-performance Apple Silicon framework for local LLM inference, LoRA/QLoRA fine-tuning, serving, quantization, and MLX/Metal acceleration.
pmetal has 305 stars on GitHub. It has been forked 22 times. pmetal is written mainly in Rust. It has been in active development since 2026. Its main topics are ai, ane, apple-silicon, deep-learning.
PMetal: high-performance Apple Silicon framework for local LLM inference, LoRA/QLoRA fine-tuning, serving, quantization, and MLX/Metal acceleration.
pmetal is an open-source project.
Yes. pmetal is free and open source — you can use, modify and self-host it.
pmetal is written mainly in Rust.
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