gliner-guard-biencoder safetensors download | Hugging Bay

Q: What is this model?

hivetrace/gliner-guard-biencoder is an open-weights language model for zero-shot classification published by hivetrace, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: hivetrace/gliner-guard-biencoder

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: 6 files, 612 MB. The full repository size is not recorded. The recommended download, model.safetensors, is 577.6 MB.

Q: What can I download here?

Hosted here: 6 files, 612 MB. Full repo upstream: unknown. The original release is at https://huggingface.co/hivetrace/gliner-guard-biencoder.

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-hivetrace-gliner-guard-biencoder/safety on Hugging Bay.

Q: Will hivetrace/gliner-guard-biencoder 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.

hivetrace

gliner-guard-biencoder

hivetrace/gliner-guard-biencoder

Model details

zero-shot classificationLicense: apache-2.0SHA-256 recorded for 6 of 8 filessafetensors

Content controls: not assessed.

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-hivetrace-gliner-guard-biencoder/model.safetensors",
    "model.safetensors",
)

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6 hosted of 8 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors578 MB · 1 file Download · 578 MB (1 file)

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