---
title: rasyosef/splade-mini
description: This is a SPLADE sparse retrieval model based on BERT-Mini (11M) that was trained by distilling a Cross-Encoder on the MSMARCO dataset. The . BERT, 11M parameters.
canonical_url: https://superlinked.com/models/rasyosef-splade-mini
last_updated: 2026-05-25
---

# rasyosef/splade-mini

This is a SPLADE sparse retrieval model based on BERT-Mini (11M) that was trained by distilling a Cross-Encoder on the MSMARCO dataset. The cross-encoder used was ms-marco-MiniLM-L6-v2.

Source: [rasyosef/splade-mini on HuggingFace](https://huggingface.co/rasyosef/splade-mini)
Base model: [prajjwal1/bert-mini](https://huggingface.co/prajjwal1/bert-mini)

## Overview

| Field | Value |
|-------|-------|
| Architecture | BERT |
| Parameters | 11M |
| Tasks | Encode |
| Outputs | Sparse |
| Dimensions | Sparse: 30,522 |
| Max sequence length | 512 tokens |
| License | mit |
| Inputs | text |
| Languages | en |

## 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 39.6K tok/s · Corpus p50 49.1ms · Query 3.8K tok/s · Query p50 44.3ms

[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 17.3K tok/s · Corpus p50 45.7ms · Query 2.1K tok/s · Query p50 46.1ms

[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 40.1K tok/s · Corpus p50 58.1ms · Query 3.9K tok/s · Query p50 47.0ms

[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 116.3K tok/s · Corpus p50 63.3ms · Query 5.1K tok/s · Query p50 50.5ms

[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: 0.3090 · map at 10: 0.1164 · mrr at 10: 0.5183

**Performance (L4 b1 c16):** Corpus 69.4K tok/s · Corpus p50 59.1ms · Query 1.6K tok/s · Query p50 49.6ms

[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

**Performance (L4 b1 c16):** Corpus 53.3K tok/s · Corpus p50 51.6ms · Query 3.8K tok/s · Query p50 45.5ms

[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 70.9K tok/s · Corpus p50 55.0ms · Query 6.2K tok/s · Query p50 42.5ms

[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 59.4K tok/s · Corpus p50 57.0ms · Query 80.8K tok/s · Query p50 56.4ms

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