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 1045 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
- 1045
- New this week
- 1045
- 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 profile tells the story of Laya creator Nandakishor M
He comes from a small village in Kasaragod, Kerala. In 2016, he was selected for IISER Mohali but couldn't afford to make the move. He eventually studied engineering at Government College of Engineering, Kannur. Last week he released Laya, an open-source AI model that challenged TypeSafe’s Jev on speed and on published decision-making scores. This is the story of Nandakishor M and how he built Laya.
Directory
+ Submit yours
decisionmakertest
vittoriobrehautduran
Benchmarks Jev and Laya on typed decisions, labeled cases, and a small dungeon game
0·GitHub repo
omp-marketplace
F0Rextasy
Lists a local System-1 judge plugin for the oh-my-pi marketplace
0·GitHub repo
ai-decision-lab
uibuckets
Provides a local playground and benchmark harness for Laya, with optional Jev comparisons
0·GitHub repo
rsdecider-inference
House-of-Imaginations
Runs Laya decision models in a Rust server using ONNX Runtime
0·GitHub repo
IOCArena
hc-nolan
Compares Jev, Von, and Laya decision models on VirusTotal data
0·GitHub repo
slop-finder
Code-Wizard-Wilson
Detects AI-like writing styles in social feeds using a local Laya-MLX helper
0·GitHub repo
agent-kits
leonezhu
Provides Python integration kits for Laya decision workflows and WorkClaw agent utilities
0·GitHub repo
jev-zen
loongWoong
Reconstructs and validates Laya inference locally using NumPy and a browser-based interface
0·GitHub repo
Jev-agent
To3akaRin
Suggests clipboard entries based on the focused field using local Laya inference or the Jev API
0·GitHub repo
verdict
NakliTechie
Serves typed decisions on macOS through Apple Foundation Models or an optional Laya backend
0·GitHub repo
before-you-send
roisol144
Checks message tone, formality and fight risk while users type, using Laya decisions
0·GitHub repo
morph-desktop
Locaryn
Controls Windows applications and desktop input with rapid decisions from Laya
0·GitHub repo
mailaya
htpu
Uses a local Laya model to triage email, flag phishing, and check drafts in a browser extension
0·GitHub repo
screenquest
DanielTea
Controls a game on Apple Silicon with screenshot perception, Laya decisions, and vision-language planning
0·GitHub repo
semantic-browser
koriym
Navigates hypermedia applications by selecting server-declared links using Laya-MLX
0·GitHub repo
jev-eval-ja
unirt
Benchmarks Jev and Laya on Japanese business-style decision tasks
0·GitHub repo
job-classifier-search
NoNFake
Ranks Danish job listings against a candidate profile using the Laya decision model
0·GitHub repo
mandate-1
siva-sub
Explores Laya fine-tunes for finance research while a separate DeepSeek path powers the live reference
0·GitHub repo
laya
iaeluk
Runs a local Laya-powered Snake game with a CUDA server and browser version
0·GitHub repo
laya
Yahia-Raouf
Provides a self-hosted Laya inference API, key management, and an administration portal
0·GitHub repo
laya
harisathees
Tests Laya predictions, multilingual behavior, CPU performance, and interactive runs through a local web console
0·GitHub repo
laya
pgarvie
Provides multilingual typed-decision models and a router for single-pass inference
0·GitHub repo
laya
waqas-duck
Runs the Laya decision model from Node.js and TypeScript using ONNX Runtime
0·GitHub repo
laya
ai-2-m
Provides a multilingual, non-autoregressive model for typed decisions in a single forward pass
0·GitHub repo