Visual Document Retrieval
PEFT
Safetensors
ColPali
vidore
multimodal_embedding
multilingual_embedding
Text-to-Visual Document (T→VD) retrieval
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  - **High Performance**: Achieves 62.7 NDCG@5 on Vidore-v2, outperforming all other models
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  - **Unified Text-Image Encoding**: Directly encodes interleaved text and images without complex preprocessing
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  - **Advanced Architecture**: 7B parameter multimodal embedding model
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- - **Fully Open-Source**: Model weights available for commercial and research use
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  ## Performance
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  - **High Performance**: Achieves 62.7 NDCG@5 on Vidore-v2, outperforming all other models
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  - **Unified Text-Image Encoding**: Directly encodes interleaved text and images without complex preprocessing
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  - **Advanced Architecture**: 7B parameter multimodal embedding model
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+ - **Fully Open-Source**: Model weights, training data, and code available
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  ## Performance
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