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-exp
changtimwu
Experiments comparing an MLX Laya port with Jev and a TypeSafe-compatible Laya client
1·GitHub repo
laya-main
bill9924
Maps patent texts to OpenAlex concepts using TF-IDF retrieval and a Laya decision model
1·GitHub repo
laya-lab
Alevsk
Runs Laya locally with reproducible scenarios that explore its capabilities on Apple Silicon
1·GitHub repo
laya-rn-executorch
ksanjiv05
Exports and runs Laya decision models offline in a React Native app using ExecuTorch
1·GitHub repo
laya-computer-use
koushikvarma37-jpg
Runs a local Windows voice assistant that uses Laya to choose intents and actions
1·GitHub repo
laya-inference-engine
aaditagrawal
Provides a GPU inference engine and performance modes for Laya on NVIDIA Blackwell
1·GitHub repo
laya-adk-toolkit
Ashfaqbs
Google ADK tools expose Laya's typed-decision engine for classification, scoring, and detection
1·GitHub repo
decision-making
tzt-company
A local demo runs Laya for multilingual text decisions and Git commit risk checks
1·GitHub repo
laya-ko-decision-onnx
2nugu
Fine-tunes Laya for Korean decisions and provides PyTorch training and ONNX export scripts
1·GitHub repo
Tern
AmRitJain0442
A model router uses local Laya-MLX inference to select between configurable provider tiers
1·GitHub repo
moex-wall-trader
antonBy77
Researches MOEX order-book signals with a Laya- or Jev-compatible AI trading gate
1·GitHub repo
agent-decision-firewall
chinna250801
Gates AI agent actions with a local Laya decision model and fail-closed rules
1·GitHub repo
system-one-router
mmornati
A Go gateway routes prompts to language models using Jev or a locally running Laya decision model
1·GitHub repo
reckon
Quietcatalpa
Organizes and reviews Windows files offline using rules and the local Laya decision model
1·GitHub repo
god-llm-decisions
surajvs2710-stack
A decision engine fuses Laya and Jev predictions with confidence weighting and auditable logs
1·GitHub repo
lime-jev
yzxoi
Adds optional Laya reranking to a local Chinese pinyin input method on Apple Silicon
1·GitHub repo
verdict
Manavarya09
Provides calibrated zero-shot and fine-tuned typed decision models as an alternative to Jev
1·GitHub repo
kime
tamnd
A Rust inference engine and HTTP server runs Laya checkpoints across CPU, CUDA, and Apple GPUs
1·GitHub repo
laya-console
biyyl234
Provides a local web console and REST API for Laya inference and intent classification
1·GitHub repo
RayCodes_LayaAI
47thtechcorner
A browser-based Pong game uses Laya to control an AI opponent's paddle
1·GitHub repo
laya-reader
msudars
Ranks new arXiv papers against a reader profile using the local Laya model
1·GitHub repo
laya-studio-node
ajayjha1
Provides a Node.js and TypeScript toolkit for Laya classification, routing, CLI, and MCP use
1·GitHub repo
laya-sentiment-analyzer
SwatiK425
A local command-line sentiment analyzer using Laya's typed choices and calibrated probabilities
1·GitHub repo
laya-decision-api
bmw8080
An HTTP service wraps local Laya with OpenAPI documentation and Java, TypeScript, and Python SDKs
1·GitHub repo