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.

Listed for classifying text with supplied labels; for developers building text classification tools. Catalog sources: license, task.

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-hivetrace-gliner-guard-biencoder/model.safetensors",
    "model.safetensors",
)

Other ways

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

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

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

Open-file help

Content controls: not assessed.

Check your download →

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

6 hosted of 8 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	577.6 MB	`65585239…b34700ac` `65585239e91ddef5fad28df89eaa02521de08043cf426f616d3e3935b34700ac`	Hosted	Baixar
Tokenizer & config
`config.json`	377 bytes	`0cb87163…4f2050e6` `0cb871636ca71bd59e8ab2ac71c8198e7ed60b898fdcacb0982b499c4f2050e6`	Hosted	Baixar
`encoder_config/config.json`	1.9 KB	`71ca43ea…7aea4553` `71ca43ea501c77ee0fb7109179a454c1ed4721366fd1635f7dc3aed77aea4553`	Hosted	Baixar
`tokenizer.json`	34.4 MB	`b71cf441…74d9ccc9` `b71cf441ac63c636686a771c74758b9d5d42c1fbea57eecd63bc567774d9ccc9`	Hosted	Baixar
`tokenizer_config.json`	648 bytes	`fda64aeb…18daae06` `fda64aeb0cffe03674c49592032460d651f09a29be83ba5be9d7f2f118daae06`	Hosted	Baixar
`biencoder.png`	0 bytes	—	Upstream only	File metadata
Docs
`README.md`	8.71 KB	`925a455f…ade974e1` `925a455fafecd99964c65f50b51c491c47840c34689d55ec244dbaacade974e1`	Hosted	Baixar
`.gitattributes`	0 bytes	—	Upstream only	File metadata

Verificar um download

In the folder where you saved model.safetensors, run:

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

gliner-guard-biencoder

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