Siglip 2 So400m Patch 16 Naflex
Developed by Google, Siglip 2 So 400M Patch 16 Naflex is an open-source model that excels at tasks such as zero-shot image classification and image-text retrieval, leveraging its unified pretraining objective to improve semantic understanding and localization. Notably, it features a training procedure that incorporates multiple clever objectives, including decoder loss and global-local and masked prediction loss.
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1K
Max Output
-
Parameters
1.1B
Technical Specifications
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Estimated GPU Requirements for Siglip 2 So400m Patch 16 Naflex
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
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Last updated: Aug 8, 2026
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