Siglip 2 Base Patch 16 256
Google's Siglip 2 Base Patch 16 256 is a vision model designed for tasks such as zero-shot image classification and image-text retrieval, leveraging a unified pretraining objective that incorporates prior techniques for improved semantic understanding and localization. It is genuinely best at handling vision tasks that require dense features and semantic understanding.
Input
Output
Context
-
Max Output
-
Parameters
375.2M
Technical Specifications
Model TypeVision
Context WindowNot available
Max Output TokensNot available
Parameters375.2M
Release DateFeb 17, 2025
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
Image
Output Modalities
Text
Capabilities
Estimated GPU Requirements for Siglip 2 Base Patch 16 256
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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