Model dossier

Sentence Transformers: paraphrase-MiniLM-L6-v2

The paraphrase-MiniLM-L6-v2 embedding model converts sentences and short paragraphs into a 384-dimensional dense vector space, producing high-quality semantic embeddings optimized for paraphrase detection, semantic similarity scoring, clustering, and lightweight retrieval...

Context8,192
Max outputn/a
Pricing viewTVP price

Sentence Transformers: paraphrase-MiniLM-L6-v2

Model ID
sentence-transformers/paraphrase-minilm-l6-v2
Canonical slug
sentence-transformers/paraphrase-minilm-l6-v2-20251117
Knowledge cutoff
n/a
Created
11/18/2025
textembeddingsstructured
text->embeddingsembeddingstext
Context8,192
Max outputn/a
TokenizerOther