sentence-transformers /

all-MiniLM-L6-v2

3 DZD in / 1M tokens

all-MiniLM-L6-v2 is an ultra-lightweight, high-speed sentence embedding model developed by Sentence Transformers. Built on the 22.7-million parameter nreimers/MiniLM-L6-H384-uncased architecture (a 6-layer distilled version of BERT), it maps text into a compact 384-dimensional dense vector space. Trained on over 1 billion sentence pairs using self-supervised contrastive learning, it serves as the industry standard benchmark for edge deployments, in-browser inference, and real-time semantic search with minimal latency.