gpt2-vietnamese-mini safetensors download | Hugging Bay

Q: What is this model?

lilith-aeva/gpt2-vietnamese-mini is an open-weights language model for text generation published by lilith-aeva, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text generation: lilith-aeva/gpt2-vietnamese-mini · transformers

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: 6 files, 469.1 MB. Full repo upstream: 469.1 MB. The recommended download, model.safetensors, is 466.3 MB.

Q: What can I download here?

Hosted here: 6 files, 469.1 MB. Full repo upstream: 469.1 MB. The original release is at https://huggingface.co/lilith-aeva/gpt2-vietnamese-mini.

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-lilith-aeva-gpt2-vietnamese-mini/safety on Hugging Bay.

Q: Will lilith-aeva/gpt2-vietnamese-mini 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.

lilith-aeva

gpt2-vietnamese-mini

lilith-aeva/gpt2-vietnamese-mini

text generationLicense: mitHashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for text generation: lilith-aeva/gpt2-vietnamese-mini · transformers

View as JSON →

6 hosted of 8 listed

Hashes recorded. Date not recorded.

File	Taille	SHA-256	Source	Télécharger
Weights
`model.safetensors` Default	466.3 MB	`ca5fb20d…b35558a9` `ca5fb20d9f188192bcca337251101106768b75aef210a561c4352160b35558a9`	Hosted	Télécharger
`training_args.bin`	5.2 KB	`ea4d427c…fdd75ff3` `ea4d427c2c710b67516861f83a3e4235d6ebed48275636c9448814c7fdd75ff3`	Upstream only	File metadata
Tokenizer & config
`config.json`	950 bytes	`45535920…dfe583ff` `45535920cd666ece00131872b648a2c855ba4ca48b452d3848458f29dfe583ff`	Hosted	Télécharger
`generation_config.json`	152 bytes	`b0fd8c47…e7156334` `b0fd8c47f41376bca1c56538d28d07976055660cd827eebbe52d1408e7156334`	Hosted	Télécharger
`tokenizer.json`	2.8 MB	`30f3936b…3a3708d9` `30f3936b0aaa711658ec20cebdbcd3c31b63124a15e400d85dbe75db3a3708d9`	Hosted	Télécharger
`tokenizer_config.json`	297 bytes	`caab7b8a…2c0cf8ce` `caab7b8a5a261a1d4cb142c2488acd9cb1c5c0154f681e5a38614a3a2c0cf8ce`	Hosted	Télécharger
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	1.48 KB	`be4d6397…31d312c7` `be4d63974895ce53880df2a04007f586df4540bbd328987e08e57dfb31d312c7`	Hosted	Télécharger

Vérifier un téléchargement

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.

gpt2-vietnamese-mini

Vérifier un téléchargement

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