rubert-tiny-sts safetensors download (118 MB) | Hugging Bay

Q: What is this model?

sergeyzh/rubert-tiny-sts is an embedding model for sentence similarity and retrieval published by sergeyzh, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for sentence similarity: sergeyzh/rubert-tiny-sts · sentence transformers

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: at least 10 listed files; full count and size unknown. Full repo upstream: 121 MB. The recommended download, model.safetensors, is 117.5 MB.

Q: What can I download here?

Hosted here: at least 10 listed files; full count and size unknown. Full repo upstream: 121 MB. The original release is at https://huggingface.co/sergeyzh/rubert-tiny-sts.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 10 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-sergeyzh-rubert-tiny-sts/safety on Hugging Bay.

Q: Will sergeyzh/rubert-tiny-sts 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.

sergeyzh

rubert-tiny-sts

sergeyzh/rubert-tiny-sts

Model details

sentence similarity and retrievalLicense: mitHashes recordedsafetensors

Content controls: not assessed.

Listed for comparing sentences; for developers building text similarity tools. Catalog sources: license, cardMetadata.license, baseModel, task, cardMetadata.pipelineTag.

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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-sergeyzh-rubert-tiny-sts/model.safetensors",
    "model.safetensors",
)

Other ways

10 hosted of 11 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors118 MB · 1 file Download · 118 MB (1 file)

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Signed by the harbor

10 hosted of 11 listed

Hashes recorded. Date not recorded.

File	Taille	SHA-256	Source	Télécharger
Weights
`model.safetensors` Default	117.5 MB	`69b3d1d7…0839e381` `69b3d1d73b5d33017d8d4dccbe84e960cff71a0c48684911624eae680839e381`	Hosted	Télécharger
Tokenizer & config
`1_Pooling/config.json`	190 bytes	`a2457ec8…cd8c91c9` `a2457ec8b5571087d2cbcb29450bb3e694940bcff2c2fd7aae344725cd8c91c9`	Hosted	Télécharger
`config.json`	692 bytes	`cb984985…5f65f446` `cb984985d6774c1bd02bd8f9f5dec84e79a33c1673f34c6df1dbd2245f65f446`	Hosted	Télécharger
`sentence_bert_config.json`	54 bytes	`d7ff3be3…ee13e3a6` `d7ff3be36cdd7a6eeb94411121036d669cb1074eb1540dabd3e3cb18ee13e3a6`	Hosted	Télécharger
`special_tokens_map.json`	695 bytes	`5d5b662e…a350503a` `5d5b662e421ea9fac075174bb0688ee0d9431699900b90662acd44b2a350503a`	Hosted	Télécharger
`tokenizer.json`	2.41 MB	`139995a7…63f618ad` `139995a730139fb2158226e69c5879159c020a71c33c87d65124914663f618ad`	Hosted	Télécharger
`tokenizer_config.json`	1.29 KB	`3e741fa7…4b5c0894` `3e741fa769b1f026ea1752f224a73c78d74053c2de6871155c8d54d94b5c0894`	Hosted	Télécharger
`vocab.txt`	1.08 MB	`f056a69b…57a969e0` `f056a69b097422652053bf87565c35543e5d81540ca4b7dddd28de4157a969e0`	Hosted	Télécharger
`modules.json`	349 bytes	`84e40c8e…7cf642cf` `84e40c8e006c9b1d6c122e02cba9b02458120b5fb0c87b746c41e0207cf642cf`	Hosted	Télécharger
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	4.98 KB	`cfdaa535…a9d4da49` `cfdaa535d7a3d515d88b12e38af6e49eba50f71832042eba6355b78ba9d4da49`	Hosted	Télécharger

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rubert-tiny-sts

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