Ved-Code-7B-4bit safetensors download | Hugging Bay

Q: What is this model?

anupbth1/Ved-Code-7B-4bit is an open-weights language model for text generation published by anupbth1, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text generation: anupbth1/Ved-Code-7B-4bit · 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?

anupbth1/Ved-Code-7B-4bit has 7B parameters. Hosted here: at least 9 listed files; full count and size unknown. Full repo upstream: 5.56 GB.

Q: What can I download here?

Hosted here: at least 9 listed files; full count and size unknown. Full repo upstream: 5.56 GB. The original release is at https://huggingface.co/anupbth1/Ved-Code-7B-4bit.

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-anupbth1-ved-code-7b-4bit/safety on Hugging Bay.

Q: Will anupbth1/Ved-Code-7B-4bit 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.

anupbth1

Ved-Code-7B-4bit

Try browser chat with a small demo model (a separate model; device support is checked before loading).

anupbth1/Ved-Code-7B-4bit

Model details

text generationLicense: apache-2.0SHA-256 recorded for 9 of 10 filessafetensors

Content controls: not assessed.

The catalog lists this model for having conversations. Catalog sources: license, cardMetadata.license, baseModel, tags, task, cardMetadata.pipelineTag.

View as JSON →

9 hosted of 10 listed

Hashes recorded. Date not recorded.

File	Taille	SHA-256	Source	Télécharger
Weights
`model-00001-of-00002.safetensors`	4.98 GB	`79a107ed…0cb629a9` `79a107edde1dcb0fb0a3e2e8bf8dbbe3b135061ae613fb65a3f0e8040cb629a9`	Hosted	Télécharger
`model-00002-of-00002.safetensors`	566.3 MB	`c4038dde…30bc955c` `c4038ddeb26fde881800087b148cefbac3b38e22c0c0b5901c4ef92530bc955c`	Hosted	Télécharger
Tokenizer & config
`config.json`	1.86 KB	`61a8367e…f6c0f3dc` `61a8367e00d6836bd3ff3e110f6bfcae3fe616e1f1c270891212a20ff6c0f3dc`	Hosted	Télécharger
`generation_config.json`	165 bytes	`eddb12c9…0aff7404` `eddb12c9aee0f51e0d154275b5326f0cf4f4abe7dda32cdb660d24e80aff7404`	Hosted	Télécharger
`model.safetensors.index.json`	122.5 KB	`e6b913b0…e16512e2` `e6b913b0abf2bce77efe8c1ab38f8ea5fb8e8523ed8690d8aeb0929de16512e2`	Hosted	Télécharger
`tokenizer.json`	11.4 MB	`bd5948af…126a2e31` `bd5948af71b4f56cf697f7580814c7ce8b80595ef985544efcacf716126a2e31`	Hosted	Télécharger
`tokenizer_config.json`	4.6 KB	`2c7b49bc…7bdbd318` `2c7b49bc323410fce95086c2f925d6d41ec4e0eef35350012305db187bdbd318`	Hosted	Télécharger
`chat_template.jinja`	2.51 KB	`cd8e9439…2330527f` `cd8e9439f0570856fd70470bf8889ebd8b5d1107207f67a5efb46e342330527f`	Hosted	Télécharger
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	575 bytes	`8be887a9…2c87015a` `8be887a9bdee598ae73e9c35438d40966622bcbff7b407f005614db92c87015a`	Hosted	Télécharger

Vérifier un téléchargement

In the folder where you saved README.md, run:

macOS

shasum -a 256 -- 'README.md'

Linux

sha256sum -- 'README.md'

Windows

Get-FileHash -LiteralPath 'README.md' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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