siglip2-so400m-patch14-384 download | Hugging Bay

Q: What is this model?

google/siglip2-so400m-patch14-384 is an open-weights vision model for zero shot image classification published by google, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for zero shot image classification: google/siglip2-so400m-patch14-384 · transformers

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: 4.58 GB. The recommended download, model.safetensors, is 4.54 GB.

Q: What can I download here?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: 4.58 GB. The original release is at https://huggingface.co/google/siglip2-so400m-patch14-384.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 7 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-google-siglip2-so400m-patch14-384/safety on Hugging Bay.

Q: Will google/siglip2-so400m-patch14-384 run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

google

siglip2-so400m-patch14-384

google/siglip2-so400m-patch14-384

Model details

zero shot image classificationLicense: apache-2.0SHA-256 recorded for 8 of 9 filessafetensors

Content controls: not assessed.

Listed for classifying images with supplied labels; for developers building image classification tools. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

View as JSON →

Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-google-siglip2-so400m-patch14-384/model.safetensors",
    "model.safetensors",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerApp links support one GGUF file.

7 hosted of 9 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors4.54 GB · 1 file Download · 4.54 GB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

Compare your file’s SHA-256 with the recorded hash.