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library_name: pytorch
---
**SigLIP 2** is a multilingual vision–language encoder that extends the original SigLIP training objective with captioning, self-distillation, masked prediction, and improved data curation for stronger semantic understanding, localization, and dense visual representations.
Original paper: [SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features, Michael Tschannen, et al., 2025](https://arxiv.org/abs/2502.14786)
# SigLIP2-Base-Patch16-224
This model uses the **SigLIP 2 Base-Patch16-224x224** variant, based on a ViT-Base vision encoder with **16×16 image patches** and approximately **86M parameters**. It is well suited for zero-shot image classification, image–text retrieval, and as a vision encoder for VLMs and downstream vision tasks.
Model Configuration:
- Reference implementation: [google/siglip2-base-patch16-224](https://huggingface.co/google/siglip2-base-patch16-224)
- Original Weight: [SigLIP2-Base-Patch16](https://huggingface.co/google/siglip2-base-patch16-224)
- Dataset: [ImageNet](https://image-net.org)
- Resolution: 3x224x224
- Support Cooper version:
- Cooper SDK: [2.5.4]
- Cooper Foundry: [2.3]
| Model | Device | Model Link |
| :-----: | :-----: | :-----: |
| SigLIP2-Base-Patch16 Image Encoder | N1-655 | [Model_Link](https://huggingface.co/Ambarella/SigLIP2/blob/main/n1-655_siglip2_base_patch16_image_encoder_act16.bin) |
| SigLIP2-Base-Patch16 Text Encoder | N1-655 | [Model_Link](https://huggingface.co/Ambarella/SigLIP2/blob/main/n1-655_siglip2_base_patch16_text_encoder_act16.bin) |
| SigLIP2-Base-Patch16 Image Encoder | X7 | [Model_Link](https://huggingface.co/Ambarella/SigLIP2/blob/main/x7_siglip2_base_patch16_image_encoder_act16.bin) |
| SigLIP2-Base-Patch16 Text Encoder | X7 | [Model_Link](https://huggingface.co/Ambarella/SigLIP2/blob/main/x7_siglip2_base_patch16_text_encoder_act16.bin) |
| SigLIP2-Base-Patch16 Image Encoder | CV7 | [Model_Link](https://huggingface.co/Ambarella/SigLIP2/blob/main/cv7_siglip2_base_patch16_image_encoder_act16.bin) |
| SigLIP2-Base-Patch16 Text Encoder | CV7 | [Model_Link](https://huggingface.co/Ambarella/SigLIP2/blob/main/cv7_siglip2_base_patch16_text_encoder_act16.bin) |
| SigLIP2-Base-Patch16 Image Encoder | CV72 | [Model_Link](https://huggingface.co/Ambarella/SigLIP2/blob/main/cv72_siglip2_base_patch16_image_encoder_act16.bin) |
| SigLIP2-Base-Patch16 Text Encoder | CV72 | [Model_Link](https://huggingface.co/Ambarella/SigLIP2/blob/main/cv72_siglip2_base_patch16_text_encoder_act16.bin) |
| SigLIP2-Base-Patch16 Image Encoder | CV75 | [Model_Link](https://huggingface.co/Ambarella/SigLIP2/blob/main/cv75_siglip2_base_patch16_image_encoder_act16.bin) |
| SigLIP2-Base-Patch16 Text Encoder | CV75 | [Model_Link](https://huggingface.co/Ambarella/SigLIP2/blob/main/cv75_siglip2_base_patch16_text_encoder_act16.bin) |
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