本仓库提供经过指令微调的 Mono-InternVL-2B 模型，其激活参数量为 18 亿（总参数量为 30 亿）。该模型基于 internlm2-chat-1_8b 构建。
有关模型介绍与使用说明，请查阅我们的 论文（v1）、论文（v1.5）、项目主页 以及 GitHub 仓库。
如果您认为本项目对您的研究有帮助，请考虑引用：
@article{mono_internvl_v1,
title={Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training},
author={Luo, Gen and Yang, Xue and Dou, Wenhan and Wang, Zhaokai and Liu, Jiawen and Dai, Jifeng and Qiao, Yu and Zhu, Xizhou},
journal={arXiv preprint arXiv:2410.08202},
year={2024}
}
@article{mono_internvl_v1.5,
title={Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models},
author={Luo, Gen and Dou, Wenhan and Li, Wenhao and Wang, Zhaokai and Yang, Xue and Tian, Changyao and Li, Hao and Wang, Weiyun and Wang, Wenhai and Zhu, Xizhou and Qiao, Yu and Dai, Jifeng},
journal={arXiv preprint arXiv:2507.12566},
year={2025}
}