Google's Siglip 2 So 400M Patch 14 384 is a vision 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. Its technical architecture incorporates multiple training objectives, including decoder loss and global-local prediction loss, allowing for adaptability in aspect ratio and resolution.
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1.1B
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Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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