small safetensors download (175 MB) | Hugging Bay

Q: What is this model?

LTP/small is an open-weights language model for general published by LTP, added to Hugging Bay Sep 21, 2026. Model from Hugging Face for llm: LTP/small · transformers

Q: Can I use it commercially?

License: unknown. Check the upstream license text or ask the model author before commercial use.

Q: How big is it?

Hosted here: at least 6 listed files; full count and size unknown. Full repo upstream: 355.3 MB. The recommended download, model.safetensors, is 175.3 MB.

Q: What can I download here?

Hosted here: at least 6 listed files; full count and size unknown. Full repo upstream: 355.3 MB.

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-ltp-small/safety on Hugging Bay.

Q: Will LTP/small 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.

LTP

small

LTP/small

Model details

generalLicense: unknownSHA-256 recorded for 7 of 10 filessafetensors · BIN

Content controls: not assessed.

The catalog does not give enough information to describe what this model is for. Catalog source: unknown.

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-ltp-small/model.safetensors",
    "model.safetensors",
)

Other ways

This file cannot open in the app. The app supports one GGUF file at a time.

See app requirements

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

Selected downloadmodel.safetensors175 MB · 1 file Download · 175 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 10 listed

Hashes recorded. Date not recorded.

File	आकार	SHA-256	स्रोत	डाउनलोड करें
Weights
`model.safetensors` Default	175.3 MB	`e9c627c7…71a13d5f` `e9c627c7b6756d04464944210de5cddce23d0bb385b1ea890f7aa39b71a13d5f`	Hosted	डाउनलोड करें
`pytorch_model.bin`	179.7 MB	`a64f412c…847869dc` `a64f412c8fc2181d228d1bea7da15f391dfe395f9073f97da250054f847869dc`	Upstream only	File metadata
Tokenizer & config
`added_tokens.json`	2 bytes	`44136fa3…1caaff8a` `44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a`	Hosted	डाउनलोड करें
`config.json`	9.29 KB	`cf486e16…29e769ee` `cf486e163d23d63dc492bd656e1eb206ea6fd4e79ebea0bbedb5203929e769ee`	Hosted	डाउनलोड करें
`tokenizer.json`	269 KB	`53ff6120…2d0a3ad6` `53ff61207898738bbdc000f38abebef01041c8d23b6270c11855fc692d0a3ad6`	Hosted	डाउनलोड करें
`tokenizer_config.json`	19 bytes	`61785aea…b57e0874` `61785aeaba176fba6d6489f27dccfd2ddee6aee2af0e590451cab7d8b57e0874`	Hosted	डाउनलोड करें
`vocab.txt`	109.5 KB	—	Upstream only	File metadata
`special_tokens_map.json`	112 bytes	`303df45a…5ec200e3` `303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3`	Hosted	डाउनलोड करें
Docs
`.gitattributes`	1.39 KB	—	Upstream only	File metadata
`README.md`	9.13 KB	—	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.

small

डाउनलोड की जाँच करें

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