Ternlight – 7 MB embedding model that runs in browser (WASM)

Ternlight released a 7 MB embedding model that runs entirely in the browser via WebAssembly, eliminating the need for API calls or servers. The model, available as an npm package, generates embeddings in about 5 milliseconds on CPU, enabling local semantic search and similarity matching without network requests.

Runs in your browser no API call An embedding model in 7 MB. Runs on your CPU. No API. Drop it in, embed text in milliseconds, and never call a server. Runs in your browser no API call Engine + weights · 7 MB mini variant · 5 MB Fast embeddings · ~5 ms CPU only · no GPU USE IT Ships as a single npm package. No model download step, no server. bash $ npm install @ternlight/base ⧉ example.js ⧉ js import { embed, similar } from '@ternlight/base'; similar 'easy weeknight dinner ideas', recipes, { topK: 3 } ; // → ranked matches · ~5 ms · zero network EXAMPLE Search React's docs in your browser. Type a question — powered by @ternlight/mini https://www.npmjs.com/package/@ternlight/mini , the 5 MB tier. Loading the engine…