---
license: apache-2.0
base_model:
- Qwen/Qwen3-VL-2B-Instruct
language:
- en
tags:
- text
- image
- video
- multimodal-embedding
- vidore
- colpali
- colqwen3
- multilingual-embedding
new_version: goodman2001/colqwen3-vlembed-base
pipeline_tag: visual-document-retrieval
---

# ColQwen3-vlembed-base: Visual Retriever built by merging Qwen3-VL-2B-Instruct with Qwen3-VL-Embedding-2B through ColBERT strategy

## 🙏🙏🙏 Why always 2B ??

Due to my limited computing resources, I can currently only conduct some interesting experiments with 2B/4B models.😝😝😝

<p align="center"><img width=800 src="https://github.com/illuin-tech/colpali/blob/main/assets/colpali_architecture.webp?raw=true"/></p>

## Usage

> [!WARNING]
> This version should not be used: it is solely the base version useful for deterministic LoRA initialization.

This model is built by merging **[Qwen/Qwen3-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct)** with **[Qwen3-VL-Embedding-2B](https://huggingface.co/Qwen/Qwen3-VL-Embedding-2B)**

<p align="center">
    <img src="https://model-demo.oss-cn-hangzhou.aliyuncs.com/Qwen3-VL-Embedding.png" width="400"/>
</p>


## Contact

- Mungeryang: mungerygm@gmail.com/yangguimiao@iie.ac.cn


## Acknowledgments

❤️❤️❤️

> [!WARNING]
> Thanks to the **Colpali team** and **Qwen team** for their excellent open-source works!
> I accomplished this work by **standing on the shoulders of giants~**

<p align="center">
    <img src="https://cdn.mos.cms.futurecdn.net/pqHroHNqYyQoJvEPrYkbcj-1200-80.jpg" width="80%"/>
<p>


## Citation

If you use any datasets or models from this organization in your research, please cite the original dataset as follows:

```bibtex
@misc{faysse2024colpaliefficientdocumentretrieval,
  title={ColPali: Efficient Document Retrieval with Vision Language Models}, 
  author={Manuel Faysse and Hugues Sibille and Tony Wu and Bilel Omrani and Gautier Viaud and Céline Hudelot and Pierre Colombo},
  year={2024},
  eprint={2407.01449},
  archivePrefix={arXiv},
  primaryClass={cs.IR},
  url={https://arxiv.org/abs/2407.01449}, 
}