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--- |
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task_categories: |
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- image-text-to-text |
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license: mit |
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--- |
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## Introduction |
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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). |
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Project page: https://victorwz.github.io/Open-Qwen2VL |
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Code: https://github.com/Victorwz/Open-Qwen2VL |
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## Dataset |
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- 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) |
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- datacomp_medium_dfn_webdataset: DataComp-Medium-128M filtered by DFN, we just select this subset based the uids released by DFN |
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- 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 |
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## Acknowledgement |
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This work was partially supported by the BioPACIFIC Materials Innovation Platform of the National Science Foundation under Award No. DMR-1933487 |
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## Citation |
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```bibtex |
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@article{Open-Qwen2VL, |
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title={Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources}, |
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author={Wang, Weizhi and Tian, Yu and Yang, Linjie and Wang, Heng and Yan, Xifeng}, |
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journal={arXiv preprint arXiv:2504.00595}, |
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year={2025} |
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} |
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``` |
