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
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.
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?
choiceHow urgent is this?
scoreDoes the customer threaten to cancel or leave?
yes / noDecided in 30.7 ms · 3 typed answers · one forward pass
Real outputs from Laya, not a mock-up. Run it yourself →
Seen on X this month
All demos →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→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 ->
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 👇
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→Asking everyone to fine tune Just use any kinda agentic harness like claude code, codex etc. Change the code and use free kaggle GPUs to train your own use cases. Base model has limitations
Project: laya→
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.
laya
NandhaKishorM
Runs multilingual typed-decision models and provides routing, serving, and integration options
laya-mlx
mizorewww
Runs Laya typed-decision models locally on Apple Silicon using MLX
laya
convaiinnovations
A multilingual-ready System 1 model that returns calibrated typed decisions over text in one pass
laya-coreml
mizorewww
Runs Laya typed-decision models locally on Apple Silicon using Core ML and the Neural Engine
laya
receptron
Runs Laya typed-decision models from Node.js and TypeScript through ONNX Runtime
typesafe-mcp
itsmostafa
Connects AI agents to typed-decision models through an MCP server
openJev-verdict-2.0
Heman10x-NGU
Develops and benchmarks a non-autoregressive typed-decision model against Jev and Laya
laya-multilingual
convaiinnovations
A multilingual System 1 model that returns calibrated typed decisions over text in one pass
laya-demo
convaiinnovations
A Gradio demo for Laya typed decisions, multilingual routing, moderation, and RAG filtering
laya-ultrafast
ipenywis
Runs a browser automation agent using local Laya decisions through MLX
FluidUse
FluidInference
Automates form filling on Apple devices with on-device models, including Laya through Core ML
laya-playground
wdobry
A local website combines Laya model demos, games, a benchmark, and an agent skill
keel
codejunkie99
A macOS coding workspace uses local Laya or hosted Jev to select task routes
laya-typed-decisions
convaiinnovations
A Laya model fine-tuned for agent traces, customer service, invoices, and security incidents
laya-vs-jev
virajbhartiya
A side-by-side T-Rex game compares local Laya and hosted Jev decision models
laya-mlx
aac6fef
An MLX FP16 conversion of Laya for native inference on Apple silicon
laya.cpp
lkarlslund
A native C++ runtime runs Laya typed-decision models across GPU and Apple backends
jevals
openlayer-ai
Agent evaluation and guardrail tools run with local Laya, Kev, or hosted Jev
chat-seek-vscode
fstandhartinger
A VS Code extension searches chat archives and uses Laya to rerank matches
system1-agents
ThinkFlowLab
Prebuilt agents use Jev, Laya, or Cua-S1 for browser, computer, robotics, and game tasks
laya-server
1Panel-dev
Self-hosts Laya decision models through an API and web interface compatible with Jev
laya-vision
r33drichards
Adds calibrated image-and-text decisions to Laya using a compact vision-language backbone
sys1
alvarobartt
Serves Laya decision models through a Rust System One API with CPU, CUDA, and Metal support
laya-pilot
anthonyli
Generates and replays Excel browser tests using Playwright and local Laya decisions