gemma-2-2b-it safetensors download | Hugging Bay

Q: What is this model?

Efficient-Large-Model/gemma-2-2b-it is an open-weights language model for text generation published by Efficient-Large-Model, added to Hugging Bay Sep 21, 2026. Model from Hugging Face for text generation: Efficient-Large-Model/gemma-2-2b-it · 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?

Efficient-Large-Model/gemma-2-2b-it has 2B parameters. Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 10.5 GB.

Q: What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 10.5 GB. The original release is at https://huggingface.co/Efficient-Large-Model/gemma-2-2b-it.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-efficient-large-model-gemma-2-2b-it/safety on Hugging Bay.

Q: Will Efficient-Large-Model/gemma-2-2b-it 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.

Efficient-Large-Model

gemma-2-2b-it

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Efficient-Large-Model/gemma-2-2b-it

Model details

text generationLicense: gemmaSHA-256 recorded for 10 of 12 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 →

8 hosted of 12 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`gemma-2-2b-it.safetensors`	5.23 GB	`bf06a1e6…9c7a2394` `bf06a1e6cfe1610beb98a2975e5602e7fc108d902b3ff9dd62282d749c7a2394`	Upstream only	File metadata
`model-00001-of-00002.safetensors`	4.99 GB	`532d792c…6c7e41bf` `532d792c9178805064170a3ec485b7dedbfccc6fd297b92c31a6091b6c7e41bf`	Hosted	Baixar
`model-00002-of-00002.safetensors`	240.7 MB	`6d6d9ce8…46dc8d20` `6d6d9ce84db398fb6e0191f91542e5da0a73da2cb695e172a24edc2146dc8d20`	Hosted	Baixar
Tokenizer & config
`config.json`	881 bytes	`b3195cba…c4d5b8d7` `b3195cba8e4a8e637f15bc0bab6b48fd0f4e02967fac72925e2dfb02c4d5b8d7`	Hosted	Baixar
`generation_config.json`	187 bytes	`069b655f…6dce34e8` `069b655f964da6484bea4ab6ecfc34f6c5f47448a5b88711218555a76dce34e8`	Hosted	Baixar
`model.safetensors.index.json`	24.2 KB	`ada0043f…c63abf5a` `ada0043f3e3b2e5ab2f445cad9c0fbbf9d91ad444675e6a82b822591c63abf5a`	Hosted	Baixar
`tokenizer.json`	17.5 MB	`3f289bc0…41be4922` `3f289bc05132635a8bc7aca7aa21255efd5e18f3710f43e3cdb96bcd41be4922`	Hosted	Baixar
`tokenizer.model`	4.24 MB	`61a7b147…e1d4c8e2` `61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2`	Upstream only	File metadata
`tokenizer_config.json`	47 KB	`cb32b792…8a951c89` `cb32b7929c62608d46572e813112b3ad8a841fb98fdd6a4da8559e368a951c89`	Hosted	Baixar
`special_tokens_map.json`	636 bytes	`baec30ea…e1351351` `baec30ea10906f16adb8c18af7a34023002c1746542612b8b41c9f09e1351351`	Hosted	Baixar
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	29.1 KB	—	Upstream only	File metadata

Verificar um download

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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