---
title: mixedbread-ai/mxbai-colbert-large-v1 (Encode)
description: The crispy rerank family from Mixedbread.. BERT, 335M parameters.
canonical_url: https://superlinked.com/models/mixedbread-ai-mxbai-colbert-large-v1--encode
last_updated: 2026-05-25
---

# mixedbread-ai/mxbai-colbert-large-v1 (Encode)

The crispy rerank family from Mixedbread.

Source: [mixedbread-ai/mxbai-colbert-large-v1 on HuggingFace](https://huggingface.co/mixedbread-ai/mxbai-colbert-large-v1)

## Overview

| Field | Value |
|-------|-------|
| Architecture | BERT |
| Parameters | 335M |
| Tasks | Encode, Score |
| Outputs | Multi-Vec |
| Dimensions | Multi-Vec: 128 |
| Max sequence length | 512 tokens |
| License | apache-2.0 |
| Inputs | text |

## 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 32.3K tok/s · Corpus p50 65.1ms · Query 3.9K tok/s · Query p50 44.7ms

[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 16.3K tok/s · Corpus p50 51.4ms · Query 2.4K tok/s · Query p50 40.1ms

[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

**Performance (L4 b1 c16):** Corpus 38.0K tok/s · Corpus p50 66.6ms · Query 4.5K tok/s · Query p50 41.8ms

[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 79.7K tok/s · Corpus p50 98.6ms · Query 6.3K tok/s · Query p50 42.1ms

[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: 0.3467 · map at 10: 0.1321 · mrr at 10: 0.5620

**Performance (L4 b1 c16):** Corpus 46.5K tok/s · Corpus p50 95.7ms · Query 1.9K tok/s · Query p50 42.8ms

[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: 0.4833 · map at 10: 0.4103 · mrr at 10: 0.5605

[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 40.1K tok/s · Corpus p50 75.6ms · Query 4.6K tok/s · Query p50 39.8ms

[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 48.5K tok/s · Corpus p50 87.4ms · Query 6.3K tok/s · Query p50 41.8ms

[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 49.7K tok/s · Corpus p50 74.1ms · Query 76.4K tok/s · Query p50 60.7ms

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