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

Can I run gemma-2-2b-it on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 8 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

gemma-2-2b-it is an open-weights language model for text generation. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on 2026-10-22.

Recorded SHA-256 for gemma-2-2b-it.safetensors: bf06a1e6cfe1610beb98a2975e5602e7fc108d902b3ff9dd62282d749c7a2394. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated 2026-10-21 · Page text: As of 2026-10-21 · Content revision

Model metadata: As of 2026-09-21 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

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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	Size	SHA-256	Source	Download
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	Download
`model-00002-of-00002.safetensors`	240.7 MB	`6d6d9ce8…46dc8d20` `6d6d9ce84db398fb6e0191f91542e5da0a73da2cb695e172a24edc2146dc8d20`	Hosted	Download
Tokenizer & config
`config.json`	881 bytes	`b3195cba…c4d5b8d7` `b3195cba8e4a8e637f15bc0bab6b48fd0f4e02967fac72925e2dfb02c4d5b8d7`	Hosted	Download
`generation_config.json`	187 bytes	`069b655f…6dce34e8` `069b655f964da6484bea4ab6ecfc34f6c5f47448a5b88711218555a76dce34e8`	Hosted	Download
`model.safetensors.index.json`	24.2 KB	`ada0043f…c63abf5a` `ada0043f3e3b2e5ab2f445cad9c0fbbf9d91ad444675e6a82b822591c63abf5a`	Hosted	Download
`tokenizer.json`	17.5 MB	`3f289bc0…41be4922` `3f289bc05132635a8bc7aca7aa21255efd5e18f3710f43e3cdb96bcd41be4922`	Hosted	Download
`tokenizer.model`	4.24 MB	`61a7b147…e1d4c8e2` `61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2`	Upstream only	File metadata
`tokenizer_config.json`	47 KB	`cb32b792…8a951c89` `cb32b7929c62608d46572e813112b3ad8a841fb98fdd6a4da8559e368a951c89`	Hosted	Download
`special_tokens_map.json`	636 bytes	`baec30ea…e1351351` `baec30ea10906f16adb8c18af7a34023002c1746542612b8b41c9f09e1351351`	Hosted	Download
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	29.1 KB	—	Upstream only	File metadata

Check a 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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