MTEB logo MTEB
dense Open weights ST compatible text

sentence-transformers/all-MiniLM-L12-v2

Languages
English
License
apache-2.0
Trained on
MSMARCOMSMARCO-PLMSMARCOHardNegativesNQNQ-NLNQ-PLNQHardNegativesNanoMSMARCORetrieval +2 more Show fewer NanoNQRetrievalmMARCO-NL
Cite this model
Citation (BibTeX)
@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "http://arxiv.org/abs/1908.10084",
}
Parameters 33M
Active parameters 22M
Embedding dim 384
Max tokens 256
Memory 127 MB
Released 2021-08-30

Openness

  • Open weights
  • Open license
  • Training code
  • Training data
  • Paper
  • Model card

Benchmark scores

Loading…