rubert-tiny2-vllm safetensors download | Hugging Bay

Q: What is this model?

WpythonW/rubert-tiny2-vllm is an embedding model for sentence similarity and retrieval published by WpythonW, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: WpythonW/rubert-tiny2-vllm

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. The full repository size is not recorded. The recommended download, model.safetensors, is 116.4 MB.

Q: What can I download here?

Hosted here: at least 10 listed files; full count and size unknown. Full repo upstream: unknown. The original release is at https://huggingface.co/WpythonW/rubert-tiny2-vllm.

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-wpythonw-rubert-tiny2-vllm/safety on Hugging Bay.

Q: Will WpythonW/rubert-tiny2-vllm 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.

WpythonW

rubert-tiny2-vllm

WpythonW/rubert-tiny2-vllm

sentence similarity and retrievalLicense: mitHashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face: WpythonW/rubert-tiny2-vllm

View as JSON →

10 hosted of 12 listed

Hashes recorded. Date not recorded.

File	आकार	SHA-256	स्रोत	डाउनलोड करें
Weights
`model.safetensors` Default	116.4 MB	`6cfc4e63…d414c0cd` `6cfc4e638c4147af426614dcbc399ee3c7e3ff7026992dbbd3a1b0bed414c0cd`	Hosted	डाउनलोड करें
Tokenizer & config
`1_Pooling/config.json`	190 bytes	`a2457ec8…cd8c91c9` `a2457ec8b5571087d2cbcb29450bb3e694940bcff2c2fd7aae344725cd8c91c9`	Hosted	डाउनलोड करें
`config.json`	684 bytes	`75ee0f40…50667281` `75ee0f40eba47ff08cdbd8e23048613a86f4c71f3dc1cd50399c9ae350667281`	Hosted	डाउनलोड करें
`sentence_bert_config.json`	54 bytes	`d7ff3be3…ee13e3a6` `d7ff3be36cdd7a6eeb94411121036d669cb1074eb1540dabd3e3cb18ee13e3a6`	Hosted	डाउनलोड करें
`special_tokens_map.json`	112 bytes	`303df45a…5ec200e3` `303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3`	Hosted	डाउनलोड करें
`tokenizer.json`	1.74 MB	`45cc9f97…b4fe5efc` `45cc9f974145661db6bc020795839d1dc371adc19a9c78b910393209b4fe5efc`	Hosted	डाउनलोड करें
`tokenizer_config.json`	401 bytes	`74aab51b…49010686` `74aab51b71a8d116c035464df96c600770f9844696b8965e397b2b1649010686`	Hosted	डाउनलोड करें
`vocab.txt`	1.08 MB	`f056a69b…57a969e0` `f056a69b097422652053bf87565c35543e5d81540ca4b7dddd28de4157a969e0`	Hosted	डाउनलोड करें
`modules.json`	349 bytes	`84e40c8e…7cf642cf` `84e40c8e006c9b1d6c122e02cba9b02458120b5fb0c87b746c41e0207cf642cf`	Hosted	डाउनलोड करें
`.gitignore`	0 bytes	—	Upstream only	File metadata
Docs
`README.md`	3.24 KB	`f2b61287…7dea589a` `f2b61287c08f8c648e6f8f4417f925a7087120009550352a40ed7e887dea589a`	Hosted	डाउनलोड करें
`.gitattributes`	0 bytes	—	Upstream only	File metadata

डाउनलोड की जाँच करें

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.

rubert-tiny2-vllm

डाउनलोड की जाँच करें

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