e5-base-v2
intfloat/e5-base-v2Content controls: not assessed.
Model from Hugging Face for sentence similarity: intfloat/e5-base-v2 · sentence transformers
Modellinformationen
e5-base-v2 is an embedding model for sentence similarity and retrieval. The primary file is model.safetensors (438 MB). The primary file needs about 2 GB free for the selected file. License: MIT. The SHA-256 prefix is d0d559c47d5f. 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.
Enthaltene Dateien
23 hosted of 24 listed
Über dieses Modell
External Hugging Face catalog record for intfloat/e5-base-v2. Task: sentence similarity. Library: sentence transformers. Languages: en. Includes 12 model-card evaluation signals. Files we host have a published SHA-256.
Kurzinfo
- Hosted here
- 23 hosted of 24 listed
- Full repo upstream
- 2.19 GB
- Recommended file
- 438 MB · model.safetensors
- Languages
- en
- Format
- safetensors · ONNX · BIN
- Downloads on Hugging Face
- 2,146,855
- File hashes
- Hashes recorded. Date not recorded.
Lizenz und Quelle
License: mit
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- sentence similarity and retrieval
- Hosted here
- at least 23 listed files; full count and size unknown
- Full repo upstream
- 2.19 GB
- Recommended file
- 438 MB · model.safetensors
- Files
- 23 hosted of 24 listed
- Download
- Download here (23 hosted files)
- Added to Hugging Bay
- Updated at source
- Source
- intfloat/e5-base-v2
FAQ
What is this model?
intfloat/e5-base-v2 is an embedding model for sentence similarity and retrieval published by intfloat, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for sentence similarity: intfloat/e5-base-v2 · sentence transformers
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: at least 23 listed files; full count and size unknown. Full repo upstream: 2.19 GB. The recommended download, model.safetensors, is 438 MB.
What can I download here?
Hosted here: at least 23 listed files; full count and size unknown. Full repo upstream: 2.19 GB. The original release is at https://huggingface.co/intfloat/e5-base-v2.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing; not a safety guarantee. 23 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-intfloat-e5-base-v2/safety on Hugging Bay.
Will intfloat/e5-base-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.
Other versions of this model
1 repack listed on Hugging Face that name this model as their base (from each publisher card). This does not mean the files match the original weights.
- mradermacher/e5-base-v2-GGUF (GGUF)