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zongxu/SQUALL
SQUALL is a machine learning model from zongxu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-nd-4.0.
For SQUALL pretraining, the data are available at:
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Updated Jun 8, 2026
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From the Hugging Face model README
For SQUALL pretraining, the data are available at:
https://zenodo.org/records/17318279
Please refer to the following resources for more information:
If you encounter any problems accessing the model, feel free to open an issue on the GitHub repository or contact us directly at [email protected].
Suggestions and feedback are very welcome!
If you find SQUALL useful, please consider citing our work:
@article{zhang2026integrating,
title = {Integrating Histology with Spatial Molecular Programs Using a Multimodal Foundation Model},
author = {Zhang, Zongxu and Qin, Bowen and Zhao, Yahui and Qi, Zekun and Xu, Hanlin and Wang, Yunfeng and Zheng, Wenjin and Dai, Jiateng and Chen, Anxin and Wang, Nachuan and Nie, Lanxi and Zhang, Peng and Zhang, Haorui and Zhao, Yanping and Xu, Tian and Lin, Siyu and Ren, Pengfei and Zhang, Zhe and Xue, Liyan and Xue, Xuemin and Yang, Zhaoyang and Xu, Jiaqi and Ma, Jiahao and Pan, Deng and Wang, Cunyu and Liu, Zhihua and Meng, Yuanguang and Zeng, Zexian},
journal = {bioRxiv},
year = {2026},
doi = {10.64898/2026.06.01.729028},
url = {https://doi.org/10.64898/2026.06.01.729028},
note = {Preprint}
}