# google/siglip-base-patch16-224

This model is a base sized image and text model pre trained on WebLI at 224x224 resolution. It is suited to zero shot image classification and image text retrieval, and its sigmoid loss uses image and text pairs without requiring global similarity normalization.

## Cite this

- Page: https://huggingbay.xyz/artifact/hf-model-google-siglip-base-patch16-224
- Citation: google/siglip-base-patch16-224. The Hugging Bay model record. https://huggingbay.xyz/artifact/hf-model-google-siglip-base-patch16-224 (retrieved 2026-11-14).
- Check a downloaded file: run `shasum -a 256 <file>` (macOS), `sha256sum <file>` (Linux) or `Get-FileHash -Algorithm SHA256 <file>` (Windows), then compare with that file's SHA-256 at https://huggingbay.xyz/api/artifacts/hf-model-google-siglip-base-patch16-224/files?limit=100. How checks work: https://huggingbay.xyz/verification

## Facts

- Type: Vision
- Task: zero-shot-image-classification
- Framework: transformers
- License: apache-2.0: Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/Apache-2.0.html)
- Source: https://huggingface.co/google/siglip-base-patch16-224
- Hosting: hosted (8 files)
- Files: 8 hosted of 10 listed
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: 8 hosted of 10 listed
- Full repo upstream: 1.63 GB
- Recommended file: 812.7 MB · model.safetensors
- Download: https://huggingbay.xyz/api/artifacts/hf-model-google-siglip-base-patch16-224/download-plan (download plan: https://huggingbay.xyz/api/artifacts/hf-model-google-siglip-base-patch16-224/download-plan)
- Per-file SHA-256: available for 8 of 8 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-google-siglip-base-patch16-224/files?limit=100
- Availability: Ready
- Downloadable: yes
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 1407479
- Stars: 87
- Card completeness: 89%

## Description

This model is a base sized image and text model pre trained on WebLI at 224x224 resolution. It is suited to zero shot image classification and image text retrieval, and its sigmoid loss uses image and text pairs without requiring global similarity normalization.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: zero-shot-image-classification
- Library: transformers
- Task categories: zero-shot-image-classification
- Paper ids: 2303.15343, 2209.06794
- File hints: 10 upstream file samples

## Referenced Data

- Paper: 2303.15343
- Paper: 2209.06794

## File Hints

- .gitattributes (1.5 KB)
- README.md (4.0 KB)
- config.json (432 B)
- model.safetensors (775 MB) LFS
- preprocessor_config.json (368 B)
- pytorch_model.bin (775 MB) LFS
- special_tokens_map.json (409 B)
- spiece.model (780 KB) LFS
- tokenizer.json (2.3 MB)
- tokenizer_config.json (711 B)

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: passed

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-07-29T22:21:52.613Z.
- Open license detected as apache-2.0.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

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- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-google-siglip-base-patch16-224/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-google-siglip-base-patch16-224/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-google-siglip-base-patch16-224
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-google-siglip-base-patch16-224/download-plan
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- Request mirror: not applicable.
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