---
title: intfloat/multilingual-e5-small
description: "Multilingual E5 Text Embeddings: A Technical Report. Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei, arXiv 202. BERT, 118M parameters."
canonical_url: https://superlinked.com/models/intfloat-multilingual-e5-small
last_updated: 2026-08-24
---

# intfloat/multilingual-e5-small

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

Source: [intfloat/multilingual-e5-small on HuggingFace](https://huggingface.co/intfloat/multilingual-e5-small)

## Overview

| Field | Value |
|-------|-------|
| Architecture | BERT |
| Parameters | 118M |
| Tasks | Encode |
| Outputs | Dense |
| Dimensions | Dense: 384 |
| Max sequence length | 512 tokens |
| License | mit |
| Inputs | text |
| Languages | multilingual, af, am, ar, as, az, be, bg, bn, br, bs, ca, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fr, fy, ga, gd, gl, gu, ha, he, hi, hr, hu, hy, id, is, it, ja, jv, ka, kk, km, kn, ko, ku, ky, la, lo, lt, lv, mg, mk, ml, mn, mr, ms, my, ne, nl, no, om, or, pa, pl, ps, pt, ro, ru, sa, sd, si, sk, sl, so, sq, sr, su, sv, sw, ta, te, th, tl, tr, ug, uk, ur, uz, vi, xh, yi, zh |

## Benchmarks

### CQADupstackPhysicsRetrieval

Domain: scientific · Task: retrieval · Language: en

Duplicate question retrieval from StackExchange Physics

Corpus: 38,314 · Queries: 1,039

**Quality:** ndcg at 10: 0.3843 · map at 10: 0.3361 · mrr at 10: 0.3894

**Performance (L4 b1 c16):** Corpus 66.3K tok/s · Corpus p50 26.3ms · Query 5.6K tok/s · Query p50 25.0ms

[Reference](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/)

### CosQA

Domain: technology · Task: retrieval · Language: en

Code search with natural language queries

Corpus: 6,267 · Queries: 500

**Quality:** ndcg at 10: 0.2870 · map at 10: 0.2222 · mrr at 10: 0.2448

**Performance (L4 b1 c16):** Corpus 28.5K tok/s · Corpus p50 26.7ms · Query 2.5K tok/s · Query p50 26.1ms

[Reference](https://arxiv.org/abs/2105.13239)

### FiQA2018

Domain: finance · Task: retrieval · Language: en

Financial opinion mining and question answering

Corpus: 57,599 · Queries: 648

**Quality:** ndcg at 10: 0.3328 · map at 10: 0.2642 · mrr at 10: 0.4086

**Performance (L4 b1 c16):** Corpus 78.7K tok/s · Corpus p50 27.5ms · Query 5.3K tok/s · Query p50 26.4ms

[Reference](https://sites.google.com/view/fiqa/)

### LegalBenchConsumerContractsQA

Domain: legal · Task: retrieval · Language: en

Question answering on consumer contracts

Corpus: 153 · Queries: 396

**Quality:** ndcg at 10: 0.6698 · map at 10: 0.5987 · mrr at 10: 0.5986

**Performance (L4 b1 c16):** Corpus 201.5K tok/s · Corpus p50 29.2ms · Query 8.6K tok/s · Query p50 24.2ms

[Reference](https://huggingface.co/datasets/nguha/legalbench)

### NFCorpus

Domain: medical · Task: retrieval · Language: en

Biomedical literature search from NutritionFacts.org

Corpus: 3,593 · Queries: 323

**Quality:** ndcg at 10: 0.3101 · map at 10: 0.1156 · mrr at 10: 0.5054

**Performance (L4 b1 c16):** Corpus 118.9K tok/s · Corpus p50 29.6ms · Query 2.6K tok/s · Query p50 25.4ms

[Reference](https://www.cl.uni-heidelberg.de/statnlpgroup/nfcorpus/)

### SCIDOCS

Domain: scientific · Task: retrieval · Language: en

Citation prediction, document classification, and recommendation for scientific papers

Corpus: 25,656 · Queries: 1,000

**Quality:** ndcg at 10: 0.1390 · map at 10: 0.0787 · mrr at 10: 0.2561

**Performance (L4 b1 c16):** Corpus 91.2K tok/s · Corpus p50 27.3ms · Query 5.8K tok/s · Query p50 24.6ms

[Reference](https://allenai.org/data/scidocs)

### SciFact

Domain: scientific · Task: retrieval · Language: en

Scientific claim verification using research literature

Corpus: 5,183 · Queries: 300

**Quality:** ndcg at 10: 0.6770 · map at 10: 0.6294 · mrr at 10: 0.6451

**Performance (L4 b1 c16):** Corpus 122.9K tok/s · Corpus p50 28.8ms · Query 8.6K tok/s · Query p50 25.5ms

[Reference](https://github.com/allenai/scifact)

### StackOverflowQA

Domain: technology · Task: retrieval · Language: en

Programming question answering from Stack Overflow

Corpus: 19,931 · Queries: 1,994

**Quality:** ndcg at 10: 0.8194 · map at 10: 0.7966 · mrr at 10: 0.7966

**Performance (L4 b1 c16):** Corpus 78.8K tok/s · Corpus p50 29.6ms · Query 133.1K tok/s · Query p50 27.2ms

[Reference](https://arxiv.org/abs/2407.02883)