Siglip 2 Base Patch 16 224
Google's Siglip 2 Base Patch 16 224 is a vision model suited for tasks like zero-shot image classification and image-text retrieval, leveraging its unified pretraining objective to improve 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 16 224
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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