---
title: Alibaba-NLP/gte-modernbert-base
description: We are excited to introduce the `gte-modernbert` series of models, which are built upon the latest modernBERT pre-trained encoder-only found. ModernBERT, 149M parameters.
canonical_url: https://superlinked.com/models/alibaba-nlp-gte-modernbert-base
last_updated: 2026-06-11
---

# Alibaba-NLP/gte-modernbert-base

We are excited to introduce the `gte-modernbert` series of models, which are built upon the latest modernBERT pre-trained encoder-only foundation models. The `gte-modernbert` series models include both text embedding models and rerank models.

Source: [Alibaba-NLP/gte-modernbert-base on HuggingFace](https://huggingface.co/Alibaba-NLP/gte-modernbert-base)
Base model: [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base)

## Overview

| Field | Value |
|-------|-------|
| Architecture | ModernBERT |
| Parameters | 149M |
| Tasks | Encode |
| Outputs | Dense |
| Dimensions | Dense: 768 |
| Max sequence length | 8,192 tokens |
| License | apache-2.0 |
| Inputs | text |
| Languages | en |

## Benchmarks

### CQADupstackPhysicsRetrieval

Domain: scientific · Task: retrieval · Language: en

Duplicate question retrieval from StackExchange Physics

Corpus: 38,314 · Queries: 1,039

**Quality:** map at 10: 0.4276 · mrr at 10: 0.4853 · ndcg at 10: 0.4922

[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:** map at 10: 0.3438 · mrr at 10: 0.3946 · ndcg at 10: 0.4318

[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:** map at 10: 0.4340 · mrr at 10: 0.6064 · ndcg at 10: 0.5243

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

### NFCorpus

Domain: medical · Task: retrieval · Language: en

Biomedical literature search from NutritionFacts.org

Corpus: 3,593 · Queries: 323

**Quality:** ndcg at 10: 0.3664 · map at 10: 0.1335 · mrr at 10: 0.5635

[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:** map at 10: 0.1183 · mrr at 10: 0.3498 · ndcg at 10: 0.1997

[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:** map at 10: 0.7297 · mrr at 10: 0.7400 · ndcg at 10: 0.7771

[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:** map at 10: 0.8955 · mrr at 10: 0.8955 · ndcg at 10: 0.9111

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