intfloat / sentence-similarity updated 2 years ago

e5-base

News (May 2023): please switch to e5-base-v2, which has better performance and same method of usage.

Params

110 M

Context

512

Downloads 30d

990 K

Likes

25

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

Download history

daily snapshots · 10 days

1.0 M990 K

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	0.4 GB	1.0 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: 110 M
Tensor type: F32
Context length: 512
Vocabulary: 30,522
Layers / heads: 12 / 12
Licence: mit
First seen on the Hub: 2022-12-26
Training datasets: undisclosed
MTEB ArguAna (reported): 64.296
MTEB BIOSSES (reported): 84.133844757571
MTEB ArxivClusteringP2P (reported): 44.569330665364
MTEB ArxivClusteringS2S (reported): 40.476477461652
MTEB BiorxivClusteringP2P (reported): 36.186054465887
MTEB BiorxivClusteringS2S (reported): 32.723791301819
MTEB AskUbuntuDupQuestions (reported): 72.952556830673
MTEB Banking77Classification (reported): 83.320374850505
MTEB CQADupstackAndroidRetrieval (reported): 30.659
MTEB AmazonPolarityClassification (reported): 87.941483778274
MTEB AmazonReviewsClassification (en) (reported): 42.230574673549
MTEB AmazonCounterfactualClassification (en) (reported): 73.894744076932
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 multilingual-e5-small 15.6 M

Appears in

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