gbert-large safetensors download (1.35 GB) | Hugging Bay

Q: What is this model?

deepset/gbert-large is an open-weights language model for masked-language modeling published by deepset, added to Hugging Bay Jun 29, 2026. Model from Hugging Face: deepset/gbert-large

Q: Can I use it commercially?

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

Q: How big is it?

Hosted here: 6 files, 1.35 GB. Full repo upstream: 4.17 GB. The recommended download, model.safetensors, is 1.35 GB.

Q: What can I download here?

Hosted here: 6 files, 1.35 GB. Full repo upstream: 4.17 GB. The original release is at https://huggingface.co/deepset/gbert-large.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 6 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-deepset-gbert-large/safety on Hugging Bay.

Q: Will deepset/gbert-large 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.

deepset

gbert-large

deepset/gbert-large

Model details

masked-language modelingLicense: mitHashes recordedsafetensors · BIN · H5

Content controls: not assessed.

The catalog lists this model for filling in missing words in text. Catalog sources: license, task.

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-deepset-gbert-large/model.safetensors",
    "model.safetensors",
)

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

Selected downloadmodel.safetensors1.35 GB · 1 file Download · 1.35 GB (1 file)

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