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 yours
faceid-bench
mazenDDr
A face-unlock benchmark measures detection and recognition pipelines and tests Laya for yes/no decisions
0·GitHub repo
SystemOne
iksnerd
Runs local Laya checkpoints for fast typed judgments over text
0·GitHub repo
decide
stackable-specs
Runs reusable typed decision templates across Jev, Laya, and general-purpose language models
0·GitHub repo
sys1bench
rssr25
A benchmark measures calibration, robustness, and other properties of typed decision models including Laya
0·GitHub repo
papaya
m0rphtail
Serves Laya typed decisions locally on Raspberry Pi using llama.cpp and a reconstructed decision head
0·GitHub repo
typed-decision-bench
4nt0ineB
Compares Jev, OpenJev, Laya, and other models on zero-shot classification tasks in English and French
0·GitHub repo
jev-chat-jarvis-mac
adra2n
A macOS overlay uses local Laya to classify WeChat message intent and risk
0·GitHub repo
gut-check
rfi-irfos
Uses Laya confidence to route uncertain agent-verification cases to a larger language model
0·GitHub repo
crisis-triage
mazenDDr
Fine-tunes and evaluates Laya for multilingual disaster-message triage with uncertainty routing
0·GitHub repo
dsh-decision-engine
LiuRJ99
A JavaScript decision runtime for DeepSeek Harness with Laya as its first provider
0·GitHub repo
vybir
Galactic717
Runs Laya locally with conformal error guarantees and includes score-based game-learning demos
0·GitHub repo
laya
StevenJPx2
Provides a Swift and Core ML runtime, daemon, CLI, and distillation tools for Laya
0·GitHub repo
laya
joldibaev
Demonstrates Laya classifying Russian customer requests and scoring urgency and churn risk
0·GitHub repo
laya
EduardoGHdez
A Ruby library runs the Laya decision model locally with ONNX Runtime
0·GitHub repo
laya
vk-alto-none
Provides a multilingual non-autoregressive Laya decision engine with checkpoint routing
0·GitHub repo
laya
lucasnpinheiro
Runs Laya in a Docker container and exposes predictions through an HTTP API and MCP server
0·GitHub repo
laya-s-dungeon
ValchanOficial
A tactical auto-battler that uses Laya through ONNX Runtime to choose actions each turn
0·GitHub repo
LayaGUIDemo
SaturnAura
Provides a Gradio interface for asking Laya choice, score, and yes-or-no questions about text
0·GitHub repo
LayaMCP
aydinozturk
Exposes Laya classification, triage, guardrail, and routing tools through an MCP server
0·GitHub repo
layar
nullean
A .NET port of Laya provides ONNX and TorchSharp inference backends and CLI tools
0·GitHub repo
layaSample
MatiasIac
Provides a local FastAPI playground for Laya decisions, including a chess interface
0·GitHub repo
system1
cloudn1ne
Containerizes Laya as a self-hosted HTTP server compatible with the TypeSafe Jev API
0·GitHub repo
LayaBasedAssistant
userasg
Uses Laya to route requests and gate risky actions in a local voice-and-text assistant
0·GitHub repo
comfyui-laya
latent-inpainter
Adds custom Laya nodes to ComfyUI
0·GitHub repo