gbert-large
deepset/gbert-largeContent controls: not assessed.
Model from Hugging Face: deepset/gbert-large
Model facts
gbert-large is an open-weights language model for masked-language modeling. The primary file is model.safetensors (1.35 GB). The primary file needs about 3 GB free for the selected file. License: MIT. The SHA-256 prefix is 9bedbb712a8c. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included. The size line uses recorded file bytes when they are present in this model record.
What's included
6 hosted of 9 listed
About this model
External Hugging Face catalog record for deepset/gbert-large. Popularity signal at import: 31,111 downloads and 63 likes. Files are listed for discovery and verification context, but this Hugging Bay pilot has not mirrored or rescanned the remote blobs. Use the upstream Hugging Face links for download until an explicit mirror job is approved.
Quick facts
- Hosted here
- 6 hosted of 9 listed
- Full repo upstream
- 4.17 GB
- Recommended file
- 1.35 GB · model.safetensors
- Format
- safetensors · BIN · H5
- Downloads on Hugging Face
- 31,111
- File hashes
- Hashes recorded. Date not recorded.
License & source
License: mit
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- masked-language modeling
- Hosted here
- 6 files, 1.35 GB
- Full repo upstream
- 4.17 GB
- Recommended file
- 1.35 GB · model.safetensors
- Files
- 6 hosted of 9 listed
- Download
- Download here (6 hosted files)
- Added to Hugging Bay
- Updated at source
- Source
- deepset/gbert-large
FAQ
What is this model?
deepset/gbert-large is an open-weights language model for masked-language modeling published by deepset, added to Hugging Bay Jun 29, 2026. Model from Hugging Face: deepset/gbert-large
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.
How big is it?
Hosted here: 6 files, 1.35 GB. Full repo upstream: 4.17 GB. The recommended download, model.safetensors, is 1.35 GB.
What can I download here?
Hosted here: 6 files, 1.35 GB. Full repo upstream: 4.17 GB. The original release is at https://huggingface.co/deepset/gbert-large.
File checks and computer fit
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-deepset-gbert-large/safety on Hugging Bay.
Will deepset/gbert-large 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.