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 1048 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
- 1048
- New this week
- 1048
- 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 yoursP
laya-prompt-guardrail
Parvathy-2025
Uses Laya to score prompts for jailbreak and injection risk before an LLM call
0·HF Space
N
laya-demo
nickfury6023
Demonstrates Laya typed decisions for triage, guardrails, filtering, moderation, and routing
0·HF Space
D
laya-multilingual-demo
DennisRadix58
Demonstrates multilingual Laya typed decisions for triage, guardrails, moderation, and exploration
0·HF Space
K
viralpilot-laya
khushali678
Analyzes content and scores its potential virality through an AI API
0·HF Space
T
laya-webgpu
ti3x-m
Runs Laya typed-decision checkpoints in the browser using WebGPU or WASM
0·HF Space
T
laya-json-render
ti3x-m
Runs Laya typed decisions locally in the browser to drive validated JSON-render interfaces
0·HF Space
T
laya-playground
ti3x-m
Provides an in-browser playground for inspecting Laya typed decisions and runtime details
0·HF Space
D
laya-demo
dungdq1
Demonstrates Laya typed decisions for routing, moderation, guardrails, and retrieval filtering
0·HF Space
D
laya_finetunning
djairguilherme
Fine-tunes Laya to detect dangerous and malicious commands
0·HF Space
X
laya-fp16-parity
xauberer93
Checks FP16 parity for the Laya model on a ZeroGPU lane
0·HF Space
L
flutter-laya-tetris
leehack
Lets a Laya decision model play Tetris in real time in the browser
0·HF Space
K
laya-meme-app
khushali678
Matches scenarios with meme reactions using Laya decisions and a Supabase vector store
0·HF Space
M
laya-server
MalikAwais11
Serves BudgetMate decision requests through a Laya API and provides a health endpoint
0·HF Space
R
Laya-demo
robynsd
Provides an API demo for Laya typed decisions without text generation
0·HF Space
laya-trader
antonellof
Uses Laya MLX to paper-trade crypto and stocks with a dashboard and backtesting tools
0·GitHub repo
NLaya
ljfio
Ports Laya typed-decision models to .NET with TorchSharp and ONNX Runtime
0·GitHub repo
system-one-reexamined
CodeWithMoin
Benchmarks Laya and Jev against zero-shot NLI and SetFit classifiers
0·GitHub repo
semantic-operators
jasonduncan
Provides Python, CLI, and MCP interfaces for typed judgments using Laya and Jev
0·GitHub repo
laya
byrash
Provides download instructions for the English and multilingual Laya models
0·GitHub repo
laya
archevel
Runs Laya typed-question inference in the browser using ONNX Runtime Web and WebGPU
0·GitHub repo
Laya
rkvishwa
Provides a local playground for composing queries and calling a self-hosted Laya server
0·GitHub repo
laya-shim
bunkerlab-net
Serves Laya or Laya-MLX behind TypeSafe's System One API route
0·GitHub repo
jev-vs-laya
vizakan10
Compares Jev and Laya decision quality and speed by having both models play Wordle
0·GitHub repo
laya-reliability-
Charanraj-24
Tests Laya prediction stability by reordering or renaming choices and measuring reliability
0·GitHub repo