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-2.0SHA-256 recorded for 9 of 14 filessafetensors

Content controls: not assessed.

Listed for comparing sentences; for developers building text similarity tools. Catalog sources: license, cardMetadata.license, baseModel, 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-matulichpt-radlit-biencoder/model.safetensors",
    "model.safetensors",
)

Other ways

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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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Check your download →

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

9 hosted of 14 listed

Hashes recorded. Date not recorded.

File	Taille	SHA-256	Source	Télécharger
Weights
`model.safetensors` Default	498.6 MB	`f1e5e54f…83b43e8a` `f1e5e54f4a42b7e4a337b631bf88c517650f8e9cbb569b56f8f9c92b83b43e8a`	Hosted	Télécharger
Tokenizer & config
`1_Pooling/config.json`	321 bytes	—	Upstream only	File metadata
`config.json`	687 bytes	`93af49d3…c5d70d56` `93af49d3dcac8f077918117b5a4cb582e5cb9ac98b5fdeebb93422dfc5d70d56`	Hosted	Télécharger
`config_sentence_transformers.json`	309 bytes	`71ba5c1c…06938f7e` `71ba5c1c9fd7d975fc3e37aa86e8668ae3c25bd3ec0a0f9ec7b2a3e706938f7e`	Hosted	Télécharger
`merges.txt`	456.3 KB	—	Upstream only	File metadata
`modules.json`	242 bytes	`27e3a229…5f3e413c` `27e3a229cecaf4d6ec90fb8e439d6bd2da7b2e22ff49a23e0b0a293a5f3e413c`	Hosted	Télécharger
`sentence_bert_config.json`	60 bytes	`9e8f7a3c…545aea10` `9e8f7a3ce4e41e26223ea64077e952095912526b1cb0fc2a81da5166545aea10`	Hosted	Télécharger
`special_tokens_map.json`	1.01 KB	`75cbec71…13f17c1c` `75cbec71553267dadc77a583ef15122c2aa7422eb6635acc72a184a413f17c1c`	Hosted	Télécharger
`tokenizer.json`	3.56 MB	`dae36fa2…d68b3746` `dae36fa25547fa9fdb4063cf20152f5b74c9b7e339c71b4862b0dc2ad68b3746`	Hosted	Télécharger
`tokenizer_config.json`	1.5 KB	`f7d3ed79…b6e01441` `f7d3ed792eb88c4c7e68e1c13728300042baedaea73f899f7fb5cc08b6e01441`	Hosted	Télécharger
`vocab.json`	798.3 KB	—	Upstream only	File metadata
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`LICENSE`	10.9 KB	`3456723e…dd3ed5de` `3456723e257c6298080c70fd933185dea610ad8cba247ae3db57d6bcdd3ed5de`	Hosted	Télécharger
`README.md`	12.2 KB	—	Upstream only	File metadata

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shasum -a 256 -- 'model.safetensors'

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radlit-biencoder

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