sentence-transformers /

all-mpnet-base-v2

3 DZD in / 1M tokens

all-mpnet-base-v2 is an open-source sentence embedding model developed by Sentence Transformers, built upon Microsoft's 109-million parameter MPNet (Masked and Permuted Pre-training) architecture. By combining the strengths of masked language modeling (BERT) and permuted language modeling (XLNet), it maps text into a dense 768-dimensional vector space. Fine-tuned on over 1 billion sentence pairs using contrastive learning, it long served as the primary quality gold standard among Sentence Transformers for semantic similarity, classification, and retrieval tasks.