Siglip 2 Base Patch 16 Naflex
Google's Siglip 2 Base Patch 16 Naflex is a vision model designed for tasks such as zero-shot image classification and image-text retrieval. It is genuinely best at semantic understanding, localization, and dense features, thanks to its unified pretraining objective that combines prior techniques.
Input
Output
Context
1K
Max Output
-
Parameters
375.2M
Technical Specifications
Model TypeVision
Context Window1,024 tokens
Max Output TokensNot available
Parameters375.2M
Release DateFeb 18, 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 Naflex
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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