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OpenRouter model reference Facts from the public catalogue, dated and labelled
Jev Laya Verified
2026-09-22

GitHub · Runtime ports

mizorewww/laya-coreml

The energy-per-decision comparison, if you are choosing between Apple's two runtimes.

The repository's GitHub card, read on 2026-09-24

What it does

Converts Laya's multilingual checkpoint to Core ML so the Neural Engine runs it, and measures both latency and energy per decision. The packaged Snake demo replays a recorded run at one times speed with the model's own probabilities on screen.

The repository's own description: “Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions on M3 Max, reproducible speed and energy benchmarks.”

How it works

A converted model runs on the Neural Engine in FP16 with a quantised variant alongside it, and the demo drives a three-question game loop through real decisions while a visible safety layer can break a cycle the model proposes.

The repository, by the numbers

Stars
1,404
Licence
Apache-2.0
Stack
Python · Core ML · Neural Engine
Last push
2026-09-22

Read from the GitHub API on 2026-09-24. Stars and the last push move daily — quote them with the date, the way we do.

What we checked

  • the README and both benchmark documents, read 2026-09-24
  • the sentence saying which timings include rendering and which exclude terminal painting
  • the licence file

What we did not check. The energy comparison. It was measured by the author on one M3 Max against one alternative; we have neither the instrument nor the machine to repeat it.

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