MiniLM-v2

Lightweight sentence embedding model for semantic similarity and search.

All‑MiniLM‑L6‑v2 maps sentences to a 384‑dimensional dense vector space. Trained on 1B+ sentence pairs, it excels at semantic search, clustering, and sentence similarity tasks while being small enough to run on mobile devices.