# vectoriseai/gte-large

Model from Hugging Face for sentence similarity: vectoriseai/gte-large · 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/gte-large
- Hosting: unknown (no download location recorded)
- Files: 15 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: availability unknown
- Full repo upstream: 3.02 GB
- Recommended file: 3.01 GB (4 files)
- Download: none recorded
- Per-file SHA-256: not available (no files hosted on Hugging Bay)
- 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: 93
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for vectoriseai/gte-large. Task: sentence similarity. Library: sentence transformers. Languages: en. Includes 12 model-card evaluation signals.

## Model Card Facts

- Declared license: mit
- Pipeline: sentence-similarity
- Library: sentence-transformers
- Task categories: sentence-similarity
- Languages: en
- Paper ids: 2308.03281
- Model-index entries: gte-large
- Evaluation signals: 12 model-card eval results
- File hints: 15 upstream file samples

## Evaluation Signals

- MTEB AmazonCounterfactualClassification (en): accuracy = 72.62686567164178 (Classification)
- MTEB AmazonCounterfactualClassification (en): ap = 34.46944126809772 (Classification)
- MTEB AmazonCounterfactualClassification (en): f1 = 66.23684353950857 (Classification)
- MTEB AmazonPolarityClassification: accuracy = 92.51805 (Classification)
- MTEB AmazonPolarityClassification: ap = 89.49842783330848 (Classification)
- MTEB AmazonPolarityClassification: f1 = 92.51112169431808 (Classification)
- MTEB AmazonReviewsClassification (en): accuracy = 49.074 (Classification)
- MTEB AmazonReviewsClassification (en): f1 = 48.44785682572955 (Classification)
- MTEB ArguAna: map_at_1 = 32.077 (Retrieval)
- MTEB ArguAna: map_at_10 = 48.153 (Retrieval)

## Referenced Data

- Paper: 2308.03281

## File Hints

- .gitattributes (1.5 KB)
- 1_Pooling/config.json (191 B)
- README.md (66 KB)
- config.json (619 B)
- model.safetensors (639 MB) LFS
- modules.json (385 B)
- onnx/model.onnx (1.2 GB) LFS
- onnx/model_quantized.onnx (321 MB) LFS
- pytorch_model.bin (639 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: passed
- Scan result: passed
- Manifest signature: pending

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-09-28T07:25:47.553Z.
- Open license detected as mit.
- Model-index metadata found for gte-large.
- 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

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- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-vectoriseai-gte-large/metadata.json
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