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AtomThink-LLaVA1.5-7B
Kun-Xiang/AtomThink-LLaVA1.5-7B
AtomThink-LLaVA1.5-7B is a machine learning model from Kun-Xiang. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
The model is post-trained based on llava-v1.5-7b and the AtomThink framework, and can be used to solve complex multimodal mathematical problems.
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14.1 GB on disk
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At a glance
- Model type
- llava
- Access
- Public
- Created
- Mar 14, 2025
- Updated
- Mar 14, 2025
- SHA
- 07296ff7
Base models
Datasets
Model card
From the Hugging Face model README
Model Card for AtomThink-LlamaV
The model is post-trained based on llava-v1.5-7b and the AtomThink framework, and can be used to solve complex multimodal mathematical problems.
Citation
If you use this dataset in your research, please cite:
@article{xiang2025can,
title={Can Atomic Step Decomposition Enhance the Self-structured Reasoning of Multimodal Large Models?},
author={Xiang, Kun and Liu, Zhili and Jiang, Zihao and Nie, Yunshuang and Cai, Kaixin and Yin, Yiyang and Huang, Runhui and Fan, Haoxiang and Li, Hanhui and Huang, Weiran and others},
journal={arXiv preprint arXiv:2503.06252},
year={2025}
}
@article{xiang2024atomthink,
title={AtomThink: A Slow Thinking Framework for Multimodal Mathematical Reasoning},
author={Xiang, Kun and Liu, Zhili and Jiang, Zihao and Nie, Yunshuang and Huang, Runhui and Fan, Haoxiang and Li, Hanhui and Huang, Weiran and Zeng, Yihan and Han, Jianhua and others},
journal={arXiv preprint arXiv:2411.11930},
year={2024}
}
License
The checkpoint is released under the Apache 2.0 license. Please ensure proper attribution when using this checkpoint.
- Type
- llava
- Created
- Mar 14, 2025
- Updated
- Mar 14, 2025