intfloat / sentence-similarity updated 1 year ago

e5-large-v2

Name: e5-large-v2
Author: intfloat

Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei, arXiv 2022

Params

340 M

Context

512

Downloads 30d

2.6 M

Likes

281

Commercial use: allowed mit Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

2.8 M2.6 M

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f32	1.3 GB	2.0 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: BertModel
Parameters: 340 M
Tensor type: F32
Context length: 512
Vocabulary: 30,522
Layers / heads: 24 / 16
Licence: mit
First seen on the Hub: 2023-05-19
Training datasets: undisclosed
MTEB ArguAna (reported): 58.321
MTEB BIOSSES (reported): 82.732608010164
MTEB ArxivClusteringP2P (reported): 45.546499570522
MTEB ArxivClusteringS2S (reported): 41.016074899436
MTEB BiorxivClusteringP2P (reported): 37.36272554012
MTEB BiorxivClusteringS2S (reported): 34.849509608178
MTEB AskUbuntuDupQuestions (reported): 72.751066262147
MTEB Banking77Classification (reported): 84.495825309289
MTEB CQADupstackAndroidRetrieval (reported): 31.503
MTEB AmazonPolarityClassification (reported): 93.738958742822
MTEB AmazonReviewsClassification (en) (reported): 47.611573458984
MTEB AmazonCounterfactualClassification (en) (reported): 73.278113035221
Added to our catalog: 2026-07-28

Compare with

all-MiniLM-L6-v2 257.8 M paraphrase-multilingual-MiniLM-L12-v2 59.4 M bge-m3 35.0 M all-mpnet-base-v2 25.2 M nomic-embed-text-v1.5 15.7 M paraphrase-multilingual-mpnet-base-v2 11.5 M

Appears in

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