intfloat / sentence-similarity updated 4 months ago

multilingual-e5-base

Name: multilingual-e5-base
Author: intfloat

Multilingual E5 Text Embeddings: A Technical Report. Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei, arXiv 2024

Params

280 M

Context

512

Downloads 30d

7.2 M

Likes

379

Commercial use: allowed mit Not gated SAFETENSORS 94 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

7.4 M7.2 M

Jul 28Jul 31Aug 3Aug 6

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	1.1 GB	1.8 GB	✅ Runs comfortably

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

Architecture: XLMRobertaModel
Parameters: 280 M
Tensor type: F32
Context length: 512
Vocabulary: 250,002
Layers / heads: 12 / 12
Licence: mit
First seen on the Hub: 2023-05-19
Training datasets: undisclosed
MTEB ArguAna (reported): 22.831
MTEB AmazonPolarityClassification (reported): 90.603786363868
MTEB AmazonReviewsClassification (de) (reported): 41.271025564425
MTEB AmazonReviewsClassification (en) (reported): 44.056666383709
MTEB AmazonReviewsClassification (es) (reported): 39.82074317427
MTEB AmazonReviewsClassification (fr) (reported): 39.110526828153
MTEB AmazonReviewsClassification (ja) (reported): 37.070829319309
MTEB AmazonReviewsClassification (zh) (reported): 36.653720777392
MTEB AmazonCounterfactualClassification (de) (reported): 69.955327588844
MTEB AmazonCounterfactualClassification (en) (reported): 73.380750300705
MTEB AmazonCounterfactualClassification (ja) (reported): 59.78002763416
MTEB AmazonCounterfactualClassification (en-ext) (reported): 66.845160137261
Added to our catalog: 2026-07-28

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