SigLIP 2 So400m Patch 16 512 is a vision model from Google, built as an extension of the SigLIP architecture. It is designed for tasks like zero-shot image classification and image-text retrieval, and can serve as a vision encoder for other vision-language models.
Input
Output
Context
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Max Output
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Parameters
1.1B
Input Modalities
Output Modalities
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Data sourced from official provider APIs and documentation
Last updated: Jul 30, 2026
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