---
title: nomic-ai/modernbert-embed-base
description: ModernBERT Embed is an embedding model trained from ModernBERT-base, bringing the new advances of ModernBERT to embeddings!. ModernBERT, 149M parameters.
canonical_url: https://superlinked.com/models/nomic-ai-modernbert-embed-base
last_updated: 2026-06-29
---

# nomic-ai/modernbert-embed-base

ModernBERT Embed is an embedding model trained from ModernBERT-base, bringing the new advances of ModernBERT to embeddings!

Source: [nomic-ai/modernbert-embed-base on HuggingFace](https://huggingface.co/nomic-ai/modernbert-embed-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:** ndcg at 10: 0.4479 · map at 10: 0.3889 · mrr at 10: 0.4444

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

### FiQA2018

Domain: finance · Task: retrieval · Language: en

Financial opinion mining and question answering

Corpus: 57,599 · Queries: 648

**Quality:** ndcg at 10: 0.4073 · map at 10: 0.3289 · mrr at 10: 0.4936

[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: 0.3337 · map at 10: 0.1219 · mrr at 10: 0.5311

[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: 0.1855 · map at 10: 0.1100 · mrr at 10: 0.3229

[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: 0.6968 · map at 10: 0.6479 · mrr at 10: 0.6625

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