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## Acknowledgments👏
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We thank Khang Đoàn ([5CD-AI](https://huggingface.co/5CD-AI)) for his invaluable support in order to train `EraX-VL-7B-V1`. Our appreciation also goes to AAA JS Company for their support and resources, which significantly contributed to this project.
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## Contact🤝
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For correspondence regarding this work, please contact Nguyễn Anh Nguyên at [nguyen@erax.ai](nguyen@erax.ai).
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## Citation📝
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<!-- - title={EraX-VL-7B-V1: A Highly Efficient Multimodal LLM for Vietnamese, especially for medical forms and bills.},
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- author={Nguyễn Anh Nguyên and Nguyễn Hồ Nam (BCG) and Dũng Hoàng and Thục Phạm and Nhật Phạm},
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[6] Chen, Zhe, et al. "How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites." arXiv preprint arXiv:2404.16821 (2024).
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[7] Tran, Chi, and Huong Le Thanh. "LaVy: Vietnamese Multimodal Large Language Model." arXiv preprint arXiv:2404.07922 (2024).
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## Acknowledgments👏
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We thank Khang Đoàn ([5CD-AI](https://huggingface.co/5CD-AI)) for his invaluable support in order to train `EraX-VL-7B-V1`. Our appreciation also goes to AAA JS Company for their support and resources, which significantly contributed to this project.
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## Citation📝
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<!-- - title={EraX-VL-7B-V1: A Highly Efficient Multimodal LLM for Vietnamese, especially for medical forms and bills.},
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- author={Nguyễn Anh Nguyên and Nguyễn Hồ Nam (BCG) and Dũng Hoàng and Thục Phạm and Nhật Phạm},
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[6] Chen, Zhe, et al. "How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites." arXiv preprint arXiv:2404.16821 (2024).
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[7] Tran, Chi, and Huong Le Thanh. "LaVy: Vietnamese Multimodal Large Language Model." arXiv preprint arXiv:2404.07922 (2024).
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## Contact🤝
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- For correspondence regarding this work, please contact Nguyễn Anh Nguyên at [nguyen@erax.ai](nguyen@erax.ai).
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- If you need API access, please email [nguyen@erax.ai](nguyen@erax.ai); We will also release our Github codes shortly.
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