radlit-biencoder safetensors download (499 MB) | Hugging Bay

Q: What is this model?

matulichpt/radlit-biencoder is an embedding model for sentence similarity and retrieval published by matulichpt, added to Hugging Bay Sep 29, 2026. Model from Hugging Face for sentence similarity: matulichpt/radlit-biencoder · sentence 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: 9 files, 502.2 MB. Full repo upstream: 503.4 MB. The recommended download, model.safetensors, is 498.6 MB.

Q: What can I download here?

Hosted here: 9 files, 502.2 MB. Full repo upstream: 503.4 MB. The original release is at https://huggingface.co/matulichpt/radlit-biencoder.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 9 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-matulichpt-radlit-biencoder/safety on Hugging Bay.

Q: Will matulichpt/radlit-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.

matulichpt

radlit-biencoder

matulichpt/radlit-biencoder

Model details

sentence similarity and retrievalLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face for sentence similarity: matulichpt/radlit-biencoder · sentence transformers

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-matulichpt-radlit-biencoder/model.safetensors",
    "model.safetensors",
)

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9 hosted of 14 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors499 MB · 1 file Download · 499 MB (1 file)

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