# vectoriseai/e5-base-v2

Model from Hugging Face for sentence similarity: vectoriseai/e5-base-v2 · sentence transformers

## Facts

- Type: Embedding
- Task: sentence-similarity
- Framework: sentence-transformers
- License: mit — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/MIT.html)
- Source: https://huggingface.co/vectoriseai/e5-base-v2
- Hosting: hosted (8 files)
- Files: 7 listed, none hosted here
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: full count and size unknown
- Full repo upstream: 1.42 GB
- Recommended file: 983.9 MB (3 files)
- Download: https://huggingface.co/vectoriseai/e5-base-v2
- Per-file SHA-256: available for 0 of 8 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-vectoriseai-e5-base-v2/files?limit=100
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 91
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for vectoriseai/e5-base-v2. Task: sentence similarity. Library: sentence transformers. Languages: en. Includes 12 model-card evaluation signals. Popularity signal at import: 91 downloads and 0 likes.

## Model Card Facts

- Declared license: mit
- Pipeline: sentence-similarity
- Library: sentence-transformers
- Task categories: sentence-similarity
- Languages: en
- Paper ids: 2212.03533, 2104.08663, 2210.07316
- Model-index entries: e5-base-v2
- Evaluation signals: 12 model-card eval results
- File hints: 15 upstream file samples

## Evaluation Signals

- MTEB AmazonCounterfactualClassification (en): accuracy = 77.77611940298506 (Classification)
- MTEB AmazonCounterfactualClassification (en): ap = 42.052710266606056 (Classification)
- MTEB AmazonCounterfactualClassification (en): f1 = 72.12040628266567 (Classification)
- MTEB AmazonPolarityClassification: accuracy = 92.81012500000001 (Classification)
- MTEB AmazonPolarityClassification: ap = 89.4213700757244 (Classification)
- MTEB AmazonPolarityClassification: f1 = 92.8039091197065 (Classification)
- MTEB AmazonReviewsClassification (en): accuracy = 46.711999999999996 (Classification)
- MTEB AmazonReviewsClassification (en): f1 = 46.11544975436018 (Classification)
- MTEB ArguAna: map_at_1 = 23.186 (Retrieval)
- MTEB ArguAna: map_at_10 = 36.632999999999996 (Retrieval)

## Referenced Data

- Paper: 2212.03533
- Paper: 2104.08663
- Paper: 2210.07316

## File Hints

- .gitattributes (1.4 KB)
- 1_Pooling/config.json (200 B)
- README.md (66 KB)
- config.json (650 B)
- model.safetensors (418 MB) LFS
- modules.json (387 B)
- onnx/model.onnx (416 MB) LFS
- onnx/model_quantized.onnx (105 MB) LFS
- pytorch_model.bin (418 MB) LFS
- quantize_config.json (674 B)
- sentence_bert_config.json (57 B)
- special_tokens_map.json (125 B)

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: external
- Scan result: passed
- Manifest signature: pending

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-09-24T06:27:45.430Z.
- Open license detected as mit.
- Model-index metadata found for e5-base-v2.
- Not locally hosted, mirrored, signed, or rescanned by Hugging Bay.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

- Web: https://huggingbay.xyz/artifact/hf-model-vectoriseai-e5-base-v2
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-vectoriseai-e5-base-v2/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-vectoriseai-e5-base-v2/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-vectoriseai-e5-base-v2/distribution
- Manifest: not available until files are hosted and release checks pass.
- Request mirror: POST https://huggingbay.xyz/api/artifacts/hf-model-vectoriseai-e5-base-v2/mirror-request
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