Ternlight

Ternlight, a 7 MB embedding model using ternary quantization and WebAssembly, enables fully client-side semantic search in browsers, bypassing server round-trips and API costs. The model runs locally …

WebAssembly (WASM) and the Ternlight framework enable compact, high-performance AI deployment for low-bandwidth areas. The approach uses model compression, WASM conversion, and offline operation to de…

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…