---
title: Linq-AI-Research/Linq-Embed-Mistral
description: Linq-AI-Research/Linq-Embed-Mistral. Mistral, 7.1B parameters.
canonical_url: https://superlinked.com/models/linq-ai-research-linq-embed-mistral
last_updated: 2026-06-08
---

# Linq-AI-Research/Linq-Embed-Mistral

Linq-AI-Research/Linq-Embed-Mistral

Source: [Linq-AI-Research/Linq-Embed-Mistral on HuggingFace](https://huggingface.co/Linq-AI-Research/Linq-Embed-Mistral)

## Overview

| Field | Value |
|-------|-------|
| Architecture | Mistral |
| Parameters | 7.1B |
| Tasks | Encode |
| Outputs | Dense |
| Dimensions | Dense: 4,096 |
| Max sequence length | 32,768 tokens |
| License | cc-by-nc-4.0 |
| Inputs | text |
| Languages | en |

## Benchmarks

### NFCorpus

Domain: medical · Task: retrieval · Language: en

Biomedical literature search from NutritionFacts.org

Corpus: 3,593 · Queries: 323

**Quality:** ndcg at 10: 0.4066 · map at 10: 0.1566 · mrr at 10: 0.6287

**Performance (L4 b1 c16):** Corpus 3.0K tok/s · Corpus p50 968.2ms · Query 210 tok/s · Query p50 231.6ms

[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: 0.6402 · map at 10: 0.5716 · mrr at 10: 0.6722

**Performance (L4 b1 c16):** Corpus 2.9K tok/s · Corpus p50 667.7ms · Query 459 tok/s · Query p50 259.6ms

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