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---
task_categories:
- image-text-to-text
license: mit
---
## Introduction
This repository contains the data for [Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources](https://huggingface.co/papers/2504.00595).
Project page: https://victorwz.github.io/Open-Qwen2VL
Code: https://github.com/Victorwz/Open-Qwen2VL
## Dataset
- ccs_ebdataset: CC3M-CC12M-SBU filtered by CLIP, we directly download the webdataset based on the [released of curated subset of BLIP-1](https://github.com/salesforce/BLIP)
- datacomp_medium_dfn_webdataset: DataComp-Medium-128M filtered by DFN, we just select this subset based the uids released by DFN
- datacomp_medium_mlm_filter_su_85_union_dfn_webdataset: DataComp-Medium-128M filtered by DFN union DataComp-Medium-128M filtered by MLM-Filter based on the semantic understanding metric with threshold 85
## Acknowledgement
This work was partially supported by the BioPACIFIC Materials Innovation Platform of the National Science Foundation under Award No. DMR-1933487
## Citation
```bibtex
@article{Open-Qwen2VL,
title={Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources},
author={Wang, Weizhi and Tian, Yu and Yang, Linjie and Wang, Heng and Yan, Xifeng},
journal={arXiv preprint arXiv:2504.00595},
year={2025}
}
``` |