Microsoft's MIT-licensed 27B decoder-only multilingual embedding model, #1 on Multilingual MTEB v2 at release.
Access model weights, configuration files, and documentation.
See which devices can run this model and at what quality level.
Microsoft's flagship open-source multilingual embedding model, built on a Gemma 3 27B decoder-only backbone with last-token pooling and L2 normalization. Trained via contrastive learning across retrieval, clustering, STS, classification, bitext mining, and reranking; supports 94 languages and 32K-token contexts. Topped Multilingual MTEB v2 at release with a commercial-friendly MIT license.
View on Hugging Face