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Category
Developer Tools
Pricing
Open Source
Type
TOOL
GitHub
4 stars
Date

About

Laya MPS runs a small typed-decision model locally on Apple Silicon Macs using Metal Performance Shaders, choosing among options, scoring inputs, or estimating whether statements are true rather than generating open-ended text. Its English model is tuned for customer service, invoices, security incidents, and agent traces, running at roughly 32ms median latency using about 2.1GB of RAM (or ~0.74GB in a lower-memory mode) on an M5 Pro.

Why it made the leaderboard

Lets developers get typed, low-latency decisions like routing or urgency scoring on-device, without paying LLM API latency or cost for narrow classification tasks.

Tags

local-aiapple-siliconclassificationmpson-device-ai

Tech Stack

Python

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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.