LoopCoder-V2
Multilingual-Multimodal-NLP/LoopCoder-V2Content controls: not assessed.
Model from Hugging Face for text generation: Multilingual-Multimodal-NLP/LoopCoder-V2 · transformers
Contenu inclus
13 hosted of 17 listed
À propos de ce modèle
External Hugging Face catalog record for Multilingual-Multimodal-NLP/LoopCoder-V2. Task: text generation. Library: transformers. Popularity signal at import: 142 downloads and 49 likes.
Informations clés
- Hosted here
- 13 hosted of 17 listed
- Full repo upstream
- 15.2 GB
- Recommended file
- 15.2 GB (3 files)
- Format
- safetensors
- Downloads on Hugging Face
- 1,111
- File hashes
- Hashes recorded. Date not recorded.
Licence et source
License: apache-2.0
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- text generation
- Hosted here
- 13 files, 15.2 GB
- Full repo upstream
- 15.2 GB
- Recommended file
- 15.2 GB (3 files)
- Files
- 13 hosted of 17 listed
- Download
- Download here (13 hosted files)
- Added to Hugging Bay
- Updated at source
FAQ
What is this model?
Multilingual-Multimodal-NLP/LoopCoder-V2 is an open-weights language model for text generation published by Multilingual-Multimodal-NLP, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text generation: Multilingual-Multimodal-NLP/LoopCoder-V2 · transformers
Can I use it commercially?
It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.
How big is it?
Hosted here: 13 files, 15.2 GB. Full repo upstream: 15.2 GB. The recommended download, a 3-file weight set, is 15.2 GB.
What can I download here?
Hosted here: 13 files, 15.2 GB. Full repo upstream: 15.2 GB. The original release is at https://huggingface.co/Multilingual-Multimodal-NLP/LoopCoder-V2.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing; not a safety guarantee. 13 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-multilingual-multimodal-nlp-loopcoder-v2/safety on Hugging Bay.
Will Multilingual-Multimodal-NLP/LoopCoder-V2 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.