gemma-2-2b-it
Efficient-Large-Model/gemma-2-2b-itContent controls: not assessed.
Model from Hugging Face for text generation: Efficient-Large-Model/gemma-2-2b-it · transformers
Enthaltene Dateien
8 hosted of 12 listed
Über dieses Modell
External Hugging Face catalog record for Efficient-Large-Model/gemma-2-2b-it. Task: text generation. Library: transformers. Base model: google/gemma-2-2b. Popularity signal at import: 95,321 downloads and 3 likes.
Kurzinfo
- Parameters
- 2B
- Hosted here
- 8 hosted of 12 listed
- Full repo upstream
- 10.5 GB
- Format
- safetensors
- Downloads on Hugging Face
- 95,321
- File hashes
- Hashes recorded. Date not recorded.
Lizenz und Quelle
License: gemma
Check the license text and keep the required notices when you use or share the files.
Upstream source →- License
- Gemma Terms of Use. Custom terms, read before use
- Task
- text generation
- Hosted here
- at least 8 listed files; full count and size unknown
- Full repo upstream
- 10.5 GB
- Parameters
- 2B
- Files
- 8 hosted of 12 listed
- Download
- Download here (8 hosted files)
- Added to Hugging Bay
- Updated at source
FAQ
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
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.
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.
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.
File checks and computer fit
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.
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.