laya-mlx plays Snake at 60 decisions per second on an M3 Max
介绍比Jev快50倍，在你设备上跑的laya-mlx! 只在你的设备上占用最高1G内存 Laya是一个开源的类似于Jev的,基于文本输出概率的分类系统 我将其移植到MLX,并且做了一些性能优化! 视频中就是这个模型在我的本地M3Max上玩贪吃蛇 这个模型能够以每秒决策60次的速度玩贪吃蛇！
Project: laya-mlx→The Laya project directory
Everything the world is building on Laya.
Laya turns any text into typed decisions in milliseconds, on your own machine. Here is what it does, and 952 projects people built with it.
real run · laya-mlx
Input text
“Hi, we were billed twice for March. Please refund the duplicate today or we will cancel our plan.”
laya-mlx · 146 input tokens · 0 output tokens
Which team should handle this ticket?
choice✓ billing98%
technical1%
sales1%
How urgent is this?
scorenot urgent4%
soon15%
✓ blocking81%
Does the customer threaten to cancel or leave?
yes / no✓ yes84%
no16%
Decided in 30.7 ms · 3 typed answers · one forward pass
Real outputs from Laya, not a mock-up. Run it yourself →
- Projects
- 952
- New this week
- 952
- Platforms
- 18
Seen on X this month
All demos →
Local Laya beats Jev at Tetris on a MacBook Air
Local Laya moggs Jev at @grok 4.7-built Tetris 🧩 An open-weights System One model called Laya, beat cloud-based Jev at playing Tetris by making decisions 11 times faster, running locally on a 16GB MacBook Air! Run AI models locally ->
Jev decision layer routes tasks and recovers from tool failures
jev + opus 5.5... i simply can't comprehend why everyone isn't building this yet. in my workflow, this cut costs and time by ~80%. i think it's one of the best ways to use it. → pick relevant project notes before loading the context → route suitable tasks to a faster worker → choose a recovery path when a tool fails → run focused checks before the full test suite opus handles the hard reasoning. jev picks from options the harness prepares and validates. i explain how to build the decision layer in the article below:
Laya plays Tetris locally with decisions in about 27 milliseconds
This is NOT Jev. Open source. Runs on your laptop. Decides in ~27 ms, about 200× faster than waiting on a hosted LLM. Here it is playing Tetris by itself 👇
laya-coreml runs 99.5% of operations on ANE at 3.7 ms per decision
Thanks for the model, we were able to port Laya to coreml with 99.5% of the ops on ANE + benchmarked too. it is now blazing fast with 3.7 ms per decision on an M5 Pro. Release: Models:
Project: FluidUse→A step-by-step Jev build guide with code and architecture
everything you need to start building with jev, in one article. code, architecture, diagrams... everything you need to follow the build and make it your own.
Directory
+ Submit yours
layaRustparser
guptchar
A Rust framework normalizes firewall logs and uses Laya for bounded triage
3·GitHub repo
laya-ocr-guard
okrath
Adds fast Laya triage to a dual-gate code impact and regression guard
3·GitHub repo
flappy-laya-openvino-cpu
rupeshs
Runs Laya inference with OpenVINO to control a Flappy Bird game on CPU
3·GitHub repo
M
laya-typed-decisions-GGUF
mys
Provides GGUF builds of Laya's typed-decisions model compiled with ggmlc
2.3k·HF model
W
laya-ara-rag
Wouze
Fine-tunes Laya multilingual for Arabic information retrieval and document reranking
158·HF model
I
laya-onnx
inferenceprince
Exports Laya to ONNX for inference with ONNX Runtime on CPUs, GPUs, and browsers
98·HF model
R
laya-onnx
receptron
Exports Laya to ONNX for use with Node.js or ONNX Runtime
2·HF model
W
laya-multilingual-FP8
Weidows
Provides an FP8 per-row quantization of the multilingual Laya checkpoint with multilingual evaluation results
2·HF model
A
laya-burmese-sib200
aungthuhein-dev
Fine-tunes Laya for calibrated seven-way Burmese topic classification on the SIB-200 dataset
2·HF model
T
laya-vision-modernvbert-250m
thaitea
Adds image inputs to Laya for calibrated typed decisions over images and optional text
2·HF model
T
laya-pt-es-typed
telepatia-ai
Fine-tunes multilingual Laya for typed decisions in Portuguese and Spanish
2·HF model
A
laya-blackjack
adambloebaum
Adapts Laya for blackjack action preferences and probability prediction in simulated play
2·HF model
laya-onnx
gqgs
Exports the Laya model to quantized ONNX for browser inference
2·GitHub repo
laya-sdk
ryuzcorp
Provides a TypeScript SDK for running cached Laya decision models locally in browsers and Node
2·GitHub repo
docker-laya
chneau
Serves Laya typed-decision predictions through an authenticated, multi-checkpoint FastAPI service
2·GitHub repo
laya-mcp
wsargent
Runs local Laya inference on Apple Silicon and exposes typed-decision tools through an MCP server
2·GitHub repo
home-assistant-laya
allenporter
Runs Laya as a local conversation agent for Home Assistant Assist
2·GitHub repo
elixir-jev
fbettag
Provides Elixir typed judgments backed by hosted Jev or a persistent local Laya model
2·GitHub repo
LayaSnakeGame
AmirTahaMim
A Pygame Snake game compares human play, a greedy baseline, and local Laya decisions
2·GitHub repo
laya-portable
MatteoGauthier
Exports Laya to ONNX and provides JavaScript runtimes for Node.js and browser inference
2·GitHub repo
laya-ara
ASNB-Smart-Solutions
Fine-tunes Arabic Laya models for NLU classification and short-list RAG
2·GitHub repo
laya-needle
50bbx
Finds semantically relevant webpage passages with a locally running Laya model
2·GitHub repo
laya-snake
zxrneu
Builds an autonomous Snake game agent using Laya decisions and BFS pathfinding
2·GitHub repo
laya-mcp
rdutra
An MCP server exposes local Laya-CoreML decisions through persistent decision tools
2·GitHub repo