Steven Gonsalvez

Software Engineer

H3-metal – Native MiniMax-H3 inference for Apple Silicon

Why CEREBRO kept it

LLM inference optimization for Apple

The text below is an automated extraction of the article at https://github.com/antirez/h3.c, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (github.com).

Native MiniMax-H3 inference for Apple Silicon. The project is being built as a sequence of working vertical slices: deterministic host/model metadata first, then portable Metal block parity, prompt encoding, prompt-to-video/audio, and first/last-frame conditioning and then ordered references. Prompt-to-video/audio, first/last-frame conditioning, and ordered Ref2VA image/video/audio references work end to end. The current work is incremental H3-specific Metal performance and memory optimization on M3 Max and M5 Max. The examples assume that the Hugging Face snapshot is in ./MiniMax-H3 and that

Community take

MiniMax H3 runs on 64GB Apple Silicon via quantization, but requires modifying workflows like ComfyUI.

Who builds this

antirez is profiled here from public GitHub push activity.

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