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 yoursA
laya-typed-decisions
akshatbindal
Fine-tunes Laya on the typed-decisions benchmark and compares results with Jev
1·HF model
M
laya-mlx
millat
Converts Laya to a native MLX FP16 checkpoint for inference on Apple silicon
1·HF model
H
laya-issue-triage
harikarthikmanyam
Fine-tunes Laya to classify GitHub issue types and assess whether more information is needed
1·HF model
0
laya-System1
0xSojalSec
Provides multilingual Laya checkpoints for typed decisions over text and JSON states
1·HF model
M
laya-onnx
mariojcr
Exports Laya checkpoints to ONNX for inference with ONNX Runtime
1·HF model
F
laya-kannaka-evidence-gate
flaukowski
Fine-tunes Laya to assess whether memory excerpts contain evidence needed to answer a question
1·HF model
R
laya-ov-int8
rupeshs
An int8 OpenVINO export of Laya for CPU inference
1·HF model
F
laya-kannaka-supersession
flaukowski
A Laya fine-tune for detecting when newer statements supersede earlier memory facts
1·HF model
T
laya-code
tindang
A Laya fine-tune that reranks code chunks by relevance to a task description
1·HF model
J
laya-agentguard
Jojoarumugam
A Laya fine-tune classifies tool calls for destructive risk and third-party content for prompt injection
1·HF model
H
cut-laya-onnx
harshpreet931
An 8-bit ONNX conversion runs Laya text classification in browser-based editors
1·HF model
1
laya-prompt-guard
16sulphur
A Laya fine-tune detects prompt injection and jailbreak attempts in text
1·HF model
F
laya-idjvsuen-v1
faall7479
A multilingual Laya fine-tune returns calibrated typed decisions on Indonesian, Javanese, Sundanese and English text
1·HF model
nlp-serving
saugataroyarghya
A BentoML playground serving and comparing focused NLP models, including Laya
1·GitHub repo
laya-jev
KonghaYao
Runs local Laya inference and exposes Jev-compatible HTTP endpoints
1·GitHub repo
kevin
gauravsaini
Runs a browser automation agent that uses Laya-ONNX to rank candidate actions
1·GitHub repo
decision-model-playground
tedliou
A local web playground comparing Laya and Jev for recommending articles
1·GitHub repo
jeffrey
thomasbrueggemann
A coding-agent CLI uses Jev or Laya to choose tools while a configurable LLM executes them
1·GitHub repo
hermes-skill-router
cdepuy
Routes tasks to relevant Hermes skills using a local Laya model or SemIf
1·GitHub repo
LayaKit
tahby
A Swift package for running Laya typed decisions on-device with Core ML
1·GitHub repo
ultra_laya
roadius2
A fork of Laya adds multilingual decision routing and checkpoint selection
1·GitHub repo
laya-mcp
andragon3110
Provides MCP tools for coding-agent judgments using local decision models, including Laya
1·GitHub repo
omp-laya
KiidxAtlas
Adds local Laya decision policies and verification controls to Oh My Pi
1·GitHub repo
laya-go
lengoman
Provides Go types, routing, batching, and transports for using local Laya checkpoints
1·GitHub repo