{"slug": "ternlight-7-mb-embedding-model-that-runs-in-browser-wasm", "title": "Ternlight – 7 MB embedding model that runs in browser (WASM)", "summary": "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.", "body_md": "Runs in your browser\n\nno API call\n\nAn embedding model in 7 MB.\n\nRuns on your CPU. No API.\n\nDrop it in, embed text in milliseconds, and never call a server.\n\nRuns in your browser\n\nno API call\n\nEngine + weights · 7 MB\n\nmini variant · 5 MB\n\nFast embeddings · ~5 ms\n\nCPU only · no GPU\n\nUSE IT\n\nShips as a single npm package. No model download step, no server.\n\n``` bash\n$\nnpm install @ternlight/base\n⧉\nexample.js\n⧉\njs\nimport { embed, similar } from '@ternlight/base';\n\nsimilar('easy weeknight dinner ideas', recipes, { topK: 3 });\n// → ranked matches · ~5 ms · zero network\n```\n\nEXAMPLE\n\nSearch React's docs in your browser. Type a question — powered by\n[@ternlight/mini](https://www.npmjs.com/package/@ternlight/mini),\nthe 5 MB tier.\n\nLoading the engine…", "url": "https://wpnews.pro/news/ternlight-7-mb-embedding-model-that-runs-in-browser-wasm", "canonical_source": "https://ternlight-demo.vercel.app/", "published_at": "2026-07-06 23:06:31+00:00", "updated_at": "2026-07-07 01:38:34.006616+00:00", "lang": "en", "topics": ["machine-learning", "developer-tools", "ai-tools"], "entities": ["Ternlight"], "alternates": {"html": "https://wpnews.pro/news/ternlight-7-mb-embedding-model-that-runs-in-browser-wasm", "markdown": "https://wpnews.pro/news/ternlight-7-mb-embedding-model-that-runs-in-browser-wasm.md", "text": "https://wpnews.pro/news/ternlight-7-mb-embedding-model-that-runs-in-browser-wasm.txt", "jsonld": "https://wpnews.pro/news/ternlight-7-mb-embedding-model-that-runs-in-browser-wasm.jsonld"}}