Mellum-4b-dpo-python safetensors download | Hugging Bay

Q: What is this model?

JetBrains/Mellum-4b-dpo-python is an open-weights language model for text generation published by JetBrains, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text generation: JetBrains/Mellum-4b-dpo-python · 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?

JetBrains/Mellum-4b-dpo-python has 4B parameters. Hosted here: 10 files, 8.05 GB. Full repo upstream: 8.05 GB. The recommended download, a 2-file weight set, is 8.04 GB.

Q: What can I download here?

Hosted here: 10 files, 8.05 GB. Full repo upstream: 8.05 GB. The original release is at https://huggingface.co/JetBrains/Mellum-4b-dpo-python.

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-jetbrains-mellum-4b-dpo-python/safety on Hugging Bay.

Q: Will JetBrains/Mellum-4b-dpo-python 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.

JetBrains

Mellum-4b-dpo-python

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JetBrains/Mellum-4b-dpo-python

Model details

text generationLicense: apache-2.0SHA-256 recorded for 10 of 11 filessafetensors

Content controls: not assessed.

The catalog lists this model for working with code. Catalog sources: license, cardMetadata.license, tags, task, cardMetadata.pipelineTag.

View as JSON →

10 hosted of 11 listed

Hashes recorded. Date not recorded.

File	Taille	SHA-256	Source	Télécharger
Weights
`model-00001-of-00002.safetensors`	4.99 GB	`35c2d92b…d946350b` `35c2d92b02d09d8207169e41900f21c66c2391eb9e7cf985f7c82293d946350b`	Hosted	Télécharger
`model-00002-of-00002.safetensors`	3.05 GB	`79ed821c…9ede9497` `79ed821c098288f863a7dad126101777097196f409b31c4e8de3712e9ede9497`	Hosted	Télécharger
Tokenizer & config
`config.json`	730 bytes	`a2f8fa9a…1361d992` `a2f8fa9af609d78c4244beb9945e8f0a51be1609f1ed45a923b846011361d992`	Hosted	Télécharger
`merges.txt`	914.9 KB	`71a98bd3…353f2233` `71a98bd3eb2e60d62eb01c45473834da7cf4dbc502e5ccae5ce711b1353f2233`	Hosted	Télécharger
`model.safetensors.index.json`	22.5 KB	`a1fa638f…fec7a2a7` `a1fa638fddf43157bb217bb4ef4e06f8e19b2f2d962469f882b18d35fec7a2a7`	Hosted	Télécharger
`special_tokens_map.json`	1.13 KB	`b351d5d0…9c834d94` `b351d5d09f9759de3aeeb163a3374fdb1e4fae5a2198cfecbb1062359c834d94`	Hosted	Télécharger
`tokenizer.json`	7.03 MB	`9fa1151b…771978b0` `9fa1151bc9cc1c9f133845e8100c91fbd7746f9f4abe69888c2ddc9f771978b0`	Hosted	Télécharger
`tokenizer_config.json`	5.65 KB	`7c345c07…3a9567ea` `7c345c07ee70b97d26d641826ba11635b9e7ca94132421ddd0f6afeb3a9567ea`	Hosted	Télécharger
`vocab.json`	1.6 MB	`1d9780e9…89a074ae` `1d9780e9f38aa4727486770c73ec5276274a73604e81dcb0d410aa5389a074ae`	Hosted	Télécharger
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	3.14 KB	`b777bf8d…8c51ab30` `b777bf8d7c41963f6db6828a253e07e19f8c26b4aff466ad76c2d1a08c51ab30`	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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