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
laya-mario
gavinHuang
A Mario-style platformer uses Laya-MLX typed decisions to select actions on each game tick
0·GitHub repo
laya-mlx-test
VansonLeung
Experiments with Laya-powered Tetris gameplay and sentence-level grammar screening
0·GitHub repo
laya-web-poc
alexander-voronkov
A browser prototype runs a quantized Laya model locally for typed question answering
0·GitHub repo
laya-assist-proxy
dwyschka
A local Home Assistant bridge that classifies voice commands with Laya and routes uncertain requests to an LLM
0·GitHub repo
laya-plays-Pokemon
masmoriya
A local model agent plays Pokémon using Laya decisions and Qwen vision
0·GitHub repo
laya-car-snake
KarimHFahmy
Uses Laya to choose safe moves in a car-and-trailer grid game
0·GitHub repo
laya-warehouse-safety
senthilr-nv
Simulates warehouse robot decisions using Laya, with a browser replay and deterministic collision-safety layer
0·GitHub repo
laya_comp_use
InterestingBrainPoops
A Windows screen agent uses Laya to choose UI actions from text-described controls
0·GitHub repo
laya-rlcd-benchmark
mourad-ghafiri
Evaluates the multilingual Laya model on adversarial decision-making scenarios
0·GitHub repo
Laya-GuardRails-Harness
morre95
A Python harness evaluates coding-agent actions with Laya typed decisions and policy rules
0·GitHub repo
jev-arena
Samge0
Compares Jev, NanoJev, and Laya decisions in Tetris and 1024 with recorded gameplay replays
0·GitHub repo
classify-goblin
Sharkelot
A local typed-decision service offers Laya alongside rules, DistilBERT, and Qwen backends
0·GitHub repo
system-one
lukeramsden
A TypeScript client provides typed-decision APIs for Jev, Cloudflare AI Gateway, and Laya
0·GitHub repo
computer-use-testing
yoaugust
Tests Jev, Laya, and CUA for computer-use tasks and plans further reinforcement-learning fine-tuning
0·GitHub repo
calibrated-decisions-iot-demo
javierdv7
An interactive smart-home demo compares local Laya inference with Jev using shared rules
0·GitHub repo
laya
bitofant
Packages a self-hosted Laya model with Docker lifecycle management and an NVIDIA GPU inference endpoint
0·GitHub repo
laya
DarkWanderer
Runs experiments with the open-source Laya System-1 decision model
0·GitHub repo
laya
inematds
A Portuguese triage application wraps Laya with a local interface, API, CLI, and reproducible evaluation
0·GitHub repo
laya_examples
jayanthbagare
Python examples demonstrate the Laya model
0·GitHub repo
laya-jev
kiuckhuang
Adds a local Laya decision endpoint and conformance tests to a Jev browser-agent fork
0·GitHub repo
jev-laya
wuzhiping
Probes the multilingual Laya model on Apple Silicon and records machine-readable inference results
0·GitHub repo
snake-laya
Cognition-Forge
Lets users play Snake against Laya using PyTorch or MLX model runtimes
0·GitHub repo
layaApi
patelkrish-27
A REST server exposes Laya typed-decision inference with low-VRAM checkpoint management
0·GitHub repo
laya2typesafeapi
yunhai-dev
Serves the multilingual Laya decision model through a self-hosted TypeSafe-compatible API
0·GitHub repo