nomic-ai
/

nomic-embed-multimodal-3b

Visual Document Retrieval

multimodal_embedding

multilingual_embedding

Text-to-Visual Document (T→VD) retrieval

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zpn commited on Apr 1

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 - **High Performance**: Achieves 58.8 NDCG@5 on Vidore-v2, outperforming all other similarly sized dense multimodal embedding models.
 - **Unified Text-Image Encoding**: Directly encodes interleaved text and images without complex preprocessing
 - **Advanced Architecture**: 3B parameter multimodal embedding model
-- **Fully Open-Source**: Model weights available for research use
 ## Performance

 - **High Performance**: Achieves 58.8 NDCG@5 on Vidore-v2, outperforming all other similarly sized dense multimodal embedding models.
 - **Unified Text-Image Encoding**: Directly encodes interleaved text and images without complex preprocessing
 - **Advanced Architecture**: 3B parameter multimodal embedding model
+- **Open Weights**: Model weights available for research use
 ## Performance