---
license: mit
datasets:
- liuwenhan/reasonrank_data_sft
- liuwenhan/reasonrank_data_rl
- liuwenhan/reasonrank_data_13k
language:
- en
base_model:
- Qwen/Qwen2.5-32B-Instruct
library_name: transformers
tags:
- passage-ranking
- text-ranking
- reasoning
- Information-retrieval
---

## Introduction
This is the model trained in our paper: ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability ([📝arXiv](https://arxiv.org/abs/2508.07050)). Please refer our [🧩github repository](https://github.com/8421BCD/ReasonRank) for the usage of reasonrank-32B.

## Model Performance
<p align="center">
<img width="90%" alt="image" src="https://8421bcd.oss-cn-beijing.aliyuncs.com/img/image-20250810163757771.png" />
</p>

🌹 If you use this model, please ✨star our <a href="https://github.com/8421BCD/reasonrank" target="_blank">GitHub repository</a> to support us. Your star means a lot!