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* **Text → Visual**
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* **Text → Text**
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* **Visual → Visual**
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* **Visual → Text**
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Compared to **ColVintern-1B-v1**, which was more experimental, this version is significantly optimized and achieves **much higher retrieval quality**. Despite having only **\~0.9B parameters**, it performs competitively with larger 2B–7B multimodal embedding models, making it both **lightweight and highly effective**.
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* **Text → Visual**
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* **Text → Text**
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Compared to **ColVintern-1B-v1**, which was more experimental, this version is significantly optimized and achieves **much higher retrieval quality**. Despite having only **\~0.9B parameters**, it performs competitively with larger 2B–7B multimodal embedding models, making it both **lightweight and highly effective**.
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