Gemma2-Gutenberg-Doppel-9B download | Hugging Bay

Q: What is this model?

nbeerbower/Gemma2-Gutenberg-Doppel-9B is an open-weights language model for text generation published by nbeerbower, added to Hugging Bay Sep 20, 2026. Model from Hugging Face for text generation: nbeerbower/Gemma2-Gutenberg-Doppel-9B · transformers

Q: Can I use it commercially?

It is released under the gemma license. Commercial use is allowed with conditions. Commercial use is permitted with obligations: Gemma terms: commercial use allowed subject to Google's prohibited-use policy.

Q: How big is it?

nbeerbower/Gemma2-Gutenberg-Doppel-9B has 9B parameters. Hosted here: at least 10 listed files; full count and size unknown. Full repo upstream: 18.5 GB.

Q: What can I download here?

Hosted here: at least 10 listed files; full count and size unknown. Full repo upstream: 18.5 GB. The original release is at https://huggingface.co/nbeerbower/Gemma2-Gutenberg-Doppel-9B.

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-nbeerbower-gemma2-gutenberg-doppel-9b/safety on Hugging Bay.

Q: Will nbeerbower/Gemma2-Gutenberg-Doppel-9B 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.

nbeerbower

Gemma2-Gutenberg-Doppel-9B

nbeerbower/Gemma2-Gutenberg-Doppel-9B

text generationLicense: gemmaHashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face for text generation: nbeerbower/Gemma2-Gutenberg-Doppel-9B · transformers

View as JSON →

10 hosted of 13 listed

Hashes recorded. Date not recorded.

File	आकार	SHA-256	स्रोत	डाउनलोड करें
Weights
`model-00001-of-00004.safetensors`	4.9 GB	`67f92d5e…651917e3` `67f92d5e46fd5099ec4b685f6ee32759ba632985a7653508ef23dcee651917e3`	Download availability is unknown.	File metadata
`model-00002-of-00004.safetensors`	4.95 GB	`eeded971…ffbfaf8f` `eeded971dbee4bd9e3ee741f2b263d737bdfd79ee2af29e3091c6e11ffbfaf8f`	Download availability is unknown.	File metadata
`model-00003-of-00004.safetensors`	4.96 GB	`55efb0c8…562b34cc` `55efb0c8ba32d6b953a83b8ebf5d23d6a5702646b2584d1443da5495562b34cc`	Download availability is unknown.	File metadata
`model-00004-of-00004.safetensors`	3.67 GB	`3d9e46c4…8b8bda86` `3d9e46c4d11511bf7c9b379758b9555abaffd24ee5f5066aa57e87f88b8bda86`	Download availability is unknown.	File metadata
Tokenizer & config
`config.json`	908 bytes	`91e1d33c…632ffb99` `91e1d33cf779fb518438070fed9a899dcb8b0b9ef7e29e3b1d49939a632ffb99`	Download availability is unknown.	File metadata
`generation_config.json`	168 bytes	`f2d4eaca…3741800b` `f2d4eaca85845deed8ec969bf65dc8c826b9fcace633b95c7e1ca3b53741800b`	Download availability is unknown.	File metadata
`model.safetensors.index.json`	39.1 KB	`c38b39b8…a23ad284` `c38b39b80b2d7aa422464a9b816af4c30d2177e471b89e5325df1336a23ad284`	Download availability is unknown.	File metadata
`tokenizer.json`	34.4 MB	`f559f218…e33ee7f0` `f559f2189f392b4555613965f089e7c4d300b41fbe080bf79da0d676e33ee7f0`	Download availability is unknown.	File metadata
`tokenizer.model`	4.24 MB	`61a7b147…e1d4c8e2` `61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2`	Download availability is unknown.	File metadata
`tokenizer_config.json`	40.6 KB	`7b245d16…bb1d3f7b` `7b245d1616447259c1e8773088085475ec1a7192df47f70b6b4dcad0bb1d3f7b`	Download availability is unknown.	File metadata
`special_tokens_map.json`	636 bytes	`baec30ea…e1351351` `baec30ea10906f16adb8c18af7a34023002c1746542612b8b41c9f09e1351351`	Download availability is unknown.	File metadata
Docs
`.gitattributes`	1.57 KB	—	Download availability is unknown.	File metadata
`README.md`	3.92 KB	—	Download availability is unknown.	File metadata

डाउनलोड की जाँच करें

In the folder where you saved config.json, run:

macOS

shasum -a 256 -- 'config.json'

Linux

sha256sum -- 'config.json'

Windows

Get-FileHash -LiteralPath 'config.json' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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होस्ट किए गए मॉडल देखें

Gemma2-Gutenberg-Doppel-9B

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