llm-query-complexity-classifier download | Hugging Bay

Q: What is this model?

anasnassar/llm-query-complexity-classifier is an open-weights language model for text classification published by anasnassar, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text classification: anasnassar/llm-query-complexity-classifier · unknown

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: at least 5 listed files; full count and size unknown. Full repo upstream: 602.1 MB. The recommended download, model.safetensors, is 598.4 MB.

Q: What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 602.1 MB. The original release is at https://huggingface.co/anasnassar/llm-query-complexity-classifier.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 5 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-anasnassar-llm-query-complexity-classifier/safety on Hugging Bay.

Q: Will anasnassar/llm-query-complexity-classifier 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.

anasnassar

llm-query-complexity-classifier

anasnassar/llm-query-complexity-classifier

Model details

text classificationLicense: apache-2.0SHA-256 recorded for 6 of 8 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for sorting text into categories. 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-anasnassar-llm-query-complexity-classifier/model.safetensors",
    "model.safetensors",
)

Other ways

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5 hosted of 8 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors598 MB · 1 file Download · 598 MB (1 file)

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Check your download →

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

5 hosted of 8 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	598.4 MB	`994536d7…90180db4` `994536d73ae5e3ef6a8f1f4b454e677bed525c93810db55a098ccd4990180db4`	Hosted	Herunterladen
`training_args.bin`	5.43 KB	`250528e1…1c320f4a` `250528e1215a88854aee3a5be32f4cc953d148afe5b66fbabdbd99101c320f4a`	Upstream only	File metadata
Tokenizer & config
`config.json`	1.42 KB	`e2649f77…de1905cc` `e2649f77e0c730e0e73a953efb0cacc390a5173a388944421bf8c66cde1905cc`	Hosted	Herunterladen
`tokenizer.json`	3.58 MB	`8eb39508…9cebd5f4` `8eb3950859984c5e7062c5e94d8d8026df86a527a5b6015f1d06d1a89cebd5f4`	Hosted	Herunterladen
`special_tokens_map.json`	694 bytes	`ea97ecdb…1be81049` `ea97ecdbcc73713039d8d64dbb05e3689495c96657fbd9a18f5bed381be81049`	Hosted	Herunterladen
`tokenizer_config.json`	20.8 KB	`2966a59b…28d4e560` `2966a59b9e9cf122279aec1249e22e5bc7ad8430c754e95031b13fd128d4e560`	Hosted	Herunterladen
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	6.87 KB	—	Upstream only	File metadata

Einen Download prüfen

In the folder where you saved model.safetensors, run:

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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.

llm-query-complexity-classifier

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