---
title: Alibaba-NLP/gte-multilingual-base
description: "The gte-multilingual-base model is the latest in the GTE (General Text Embedding) family of models, featuring several key attributes:. ModernBERT, 305M parameters."
canonical_url: https://superlinked.com/models/alibaba-nlp-gte-multilingual-base
last_updated: 2026-05-25
---

# Alibaba-NLP/gte-multilingual-base

The gte-multilingual-base model is the latest in the GTE (General Text Embedding) family of models, featuring several key attributes:

Source: [Alibaba-NLP/gte-multilingual-base on HuggingFace](https://huggingface.co/Alibaba-NLP/gte-multilingual-base)

## Overview

| Field | Value |
|-------|-------|
| Architecture | ModernBERT |
| Parameters | 305M |
| Tasks | Encode |
| Outputs | Dense |
| Dimensions | Dense: 768 |
| Max sequence length | 8,192 tokens |
| License | apache-2.0 |
| Inputs | text |
| Languages | af, ar, az, be, bg, bn, ca, ceb, cs, cy, da, de, el, en, es, et, eu, fa, fi, fr, gl, gu, he, hi, hr, ht, hu, hy, id, is, it, ja, jv, ka, kk, km, kn, ko, ky, lo, lt, lv, mk, ml, mn, mr, ms, my, ne, nl, no, pa, pl, pt, qu, ro, ru, si, sk, sl, so, sq, sr, sv, sw, ta, te, th, tl, tr, uk, ur, vi, yo, zh |

## Benchmarks

### CQADupstackPhysicsRetrieval

Domain: scientific · Task: retrieval · Language: en

Duplicate question retrieval from StackExchange Physics

Corpus: 38,314 · Queries: 1,039

**Performance (L4 b1 c16):** Corpus 43.5K tok/s · Corpus p50 48.0ms · Query 4.3K tok/s · Query p50 35.3ms

[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

**Performance (L4 b1 c16):** Corpus 20.4K tok/s · Corpus p50 39.9ms · Query 2.2K tok/s · Query p50 37.2ms

[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

**Performance (L4 b1 c16):** Corpus 44.2K tok/s · Corpus p50 54.2ms · Query 4.7K tok/s · Query p50 34.9ms

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

### LegalBenchConsumerContractsQA

Domain: legal · Task: retrieval · Language: en

Question answering on consumer contracts

Corpus: 153 · Queries: 396

**Performance (L4 b1 c16):** Corpus 72.0K tok/s · Corpus p50 114.4ms · Query 5.8K tok/s · Query p50 39.0ms

[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: 0.3667 · map at 10: 0.1408 · mrr at 10: 0.5658

**Performance (L4 b1 c16):** Corpus 60.0K tok/s · Corpus p50 79.5ms · Query 1.4K tok/s · Query p50 49.0ms

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

### NanoFiQA2018Retrieval

Domain: finance · Task: retrieval · Language: en

Smaller subset of the FiQA financial QA dataset

**Quality:** ndcg at 10: 0.5990 · map at 10: 0.5229 · mrr at 10: 0.6550

**Performance (L4 b1 c16):** Corpus 36.5K tok/s · Corpus p50 63.1ms · Query 3.4K tok/s · Query p50 52.5ms

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

### SCIDOCS

Domain: scientific · Task: retrieval · Language: en

Citation prediction, document classification, and recommendation for scientific papers

Corpus: 25,656 · Queries: 1,000

**Performance (L4 b1 c16):** Corpus 55.1K tok/s · Corpus p50 56.8ms · Query 4.4K tok/s · Query p50 35.3ms

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

### SciFact

Domain: scientific · Task: retrieval · Language: en

Scientific claim verification using research literature

Corpus: 5,183 · Queries: 300

**Performance (L4 b1 c16):** Corpus 63.8K tok/s · Corpus p50 69.3ms · Query 6.3K tok/s · Query p50 36.8ms

[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

**Performance (L4 b1 c16):** Corpus 55.5K tok/s · Corpus p50 65.9ms · Query 58.5K tok/s · Query p50 75.0ms

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