Run Laya in the browser
Laya is small enough to run in a browser tab with no server and no API key. The input never leaves the page. The trade-off is a download of several hundred megabytes on the first visit and much slower inference than a native runtime.
171 projects
laya-vs-jev-traffic
ameeetgaikwad
Compares local Laya and cloud Jev in a real-time traffic-control simulation
von-laya-jev-paint-compare
zhangyunting123
Creates side-by-side paintings from typed decisions by VON, Laya, and Jev
nlaut
benkya
Runs natural-language browser tests with deterministic, vision-model, and Laya-based judgments
jev-course-demo
clchrf
Evaluates university AI course plans in the browser using quantized Laya ONNX inference
cut
harshpreet931
Uses Laya to label and cut unnecessary lines from posts in a browser or local app
xcrystal
dgu0323
Scores cryptocurrency relevance and market signals in X posts with a local Laya server
wizden-moonlander
WizdenOrg
A lunar lander game compares Laya and Jev as typed-decision flight controllers
Laya_local
RickyFer22
A Pong game and experiment using Laya for real-time decisions alongside physics-based prediction
laya-tetris
nickyqqq
A playable Tetris experiment showing Laya's candidate probabilities and decisions in a live dashboard
laya-playground
dharm1287
Provides a FastAPI playground for Laya survey predictions and a Snake game
TrucoLaya
guillermojmontenegro-hub
Runs an Argentine Truco card game with AI players controlled by Laya
laya-ui
bharath-ui1027
Provides a multilingual Laya decision engine with UI components and optional serving integrations
laya-playground
shwetankg07
Three browser games measure Laya’s decisions against exact ground truth
laya-voice-browser
AkshayKulkarni1904
Controls Chromium-based browsers by voice using local Laya decisions on Windows
jev-voice-browser-agent
adnankhan46
Implements a voice-controlled browser agent using Jev or Laya
ChenneyZhuang
ChenneyZhuang
Showcases a fine-tuned Laya browser model and local browser-agent tooling
reflex-engine
chenshuai9101
A Python toolkit collects, calibrates, and automates routine decisions using local Laya
dsh-browser-laya
drscrewdriver
A reserved npm package name for a planned browser-action backend using a local Laya sidecar
jev-arena
eliot5566
Lets users create text-driven fighting bots piloted by Jev, Laya, or other models
laya-web-demo
mizchi
Runs Laya typed decisions in browser games using ONNX Runtime Web and WebGPU
laya-demo
siloh12
Runs a browser demo that calls a Gradio Space to make typed decisions with Laya
laya-demo
wuyouxiaobai
Provides a landing page and deployable Gradio demo for Laya typed decisions
laya-webgpu
ti3x-m
Runs Laya typed-decision checkpoints in the browser using WebGPU or WASM
laya-json-render
ti3x-m
Runs Laya typed decisions locally in the browser to drive validated JSON-render interfaces
Libraries
kevala is a zero-dependency Rust engine compiled to WebAssembly, with WebGPU kernels. It works from any page:
<script type="module">
import { Kevala } from "https://cdn.jsdelivr.net/npm/kevala@latest/js/src/index.js";
const kevala = await Kevala.load({ model: "laya", onProgress: console.log });
</script>
or pnpm add kevala. According to its README, the Laya int8 pack is 479 MB and is kept in browser storage after the first visit.
@r4ai/laya-web runs ONNX Runtime Web with WebGPU and a WebAssembly SIMD fallback, and is designed to run in a Web Worker:
npm install @r4ai/laya-web onnxruntime-web
Demos you can open
- layaForWeb: the English checkpoint as quantized ONNX (default build about 440 MB), with a live demo.
- open-jev-laya: multilingual Laya on Transformers.js (fp16 ONNX about 647 MB) with Gomoku, Big Two and a 3D maze.
- layaAsRagJudge: checks RAG claims against retrieved evidence entirely in the tab.
Speed and support
The layaForWeb README reports that a three-question call on the default WASM backend took about 2 to 5 seconds on a 2-core machine. In that project, WebGPU works only with the int4 build, because ONNX Runtime's WebGPU MatMulNBits kernel supports 2- and 4-bit weights. open-jev-laya tries WebGPU and falls back to WebAssembly.
Caveats
Quantized browser builds do not match PyTorch exactly. layaForWeb reports 97.9% top-answer agreement for all three of its quantized builds, with the largest probability gaps in int4. For a real-time loop, laya-pong keeps the model native. Its README gives the reason: the checkpoint wants about 2.4 GB resident in f32, and wasm32 has a 4 GB address space and no Metal.
More ways to use Laya