multilingual-e5-small-distilled-256d
jalbarracin/multilingual-e5-small-distilled-256dContent controls: not assessed.
Model from Hugging Face for llm: jalbarracin/multilingual-e5-small-distilled-256d · model2vec
Informations sur le modèle
multilingual-e5-small-distilled-256d is an open-weights language model for general. The primary file is model.safetensors (128 MB). The primary file needs about 2 GB free for the selected file. License: MIT. The SHA-256 prefix is 2f04c8c229f0. 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.
Contenu inclus
5 hosted of 6 listed
À propos de ce modèle
External Hugging Face catalog record for jalbarracin/multilingual-e5-small-distilled-256d. Library: model2vec. Languages: multilingual, af, am, ar, as, az, be, bg. Base model: intfloat/multilingual-e5-small. Popularity signal at import: 16 downloads and 0 likes.
Informations clés
- Hosted here
- 5 hosted of 6 listed
- Full repo upstream
- 137.1 MB
- Recommended file
- 128 MB · model.safetensors
- Languages
- multilingual, af, am, ar, as, az, be, bg, bn, br, bs, ca
- Format
- safetensors
- Downloads on Hugging Face
- 331
- File hashes
- Hashes recorded. Date not recorded.
Licence et source
License: mit
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- general
- Hosted here
- 5 files, 137.1 MB
- Full repo upstream
- 137.1 MB
- Recommended file
- 128 MB · model.safetensors
- Files
- 5 hosted of 6 listed
- Download
- Download here (5 hosted files)
- Added to Hugging Bay
- Updated at source
FAQ
What is this model?
jalbarracin/multilingual-e5-small-distilled-256d is an open-weights language model for general published by jalbarracin, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for llm: jalbarracin/multilingual-e5-small-distilled-256d · model2vec
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: 5 files, 137.1 MB. Full repo upstream: 137.1 MB. The recommended download, model.safetensors, is 128 MB.
What can I download here?
Hosted here: 5 files, 137.1 MB. Full repo upstream: 137.1 MB. The original release is at https://huggingface.co/jalbarracin/multilingual-e5-small-distilled-256d.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing; not a safety guarantee. 5 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-jalbarracin-multilingual-e5-small-distilled-256d/safety on Hugging Bay.
Will jalbarracin/multilingual-e5-small-distilled-256d 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.