Siglip Base Patch 16 224
Developed by Google, Siglip Base Patch 16 224 is a multimodal model exceling at tasks such as zero-shot image classification and image-text retrieval. Its sigmoid loss function allows for better performance, particularly at smaller batch sizes, and enables scaling up the batch size.
Input
Output
Context
-
Max Output
-
Parameters
203.2M
Technical Specifications
Model TypeVision
Context WindowNot available
Max Output TokensNot available
Parameters203.2M
Release DateSep 30, 2023
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
Image
Output Modalities
Text
Capabilities
Estimated GPU Requirements for Siglip Base Patch 16 224
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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