Text Generation
Transformers
Safetensors
imp
custom_code
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@@ -82,4 +82,17 @@ We conduct evaluation on 9 commonly-used benchmarks, including 5 academic VQA be
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  This project is licensed under the Apache License 2.0 - see the [LICENSE](https://www.apache.org/licenses/LICENSE-2.0) file for details.
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  ## About us
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- This project is maintained by the [MILVLG](https://github.com/MILVLG)@Hangzhou Dianzi University (HDU) led by Prof. Zhou Yu and Jun Yu, and is mainly developed by Zhenwei Shao and Xuecheng Ouyang. We hope our model may serve as a strong baseline to inspire future research on MSLM, as well as its derivative applications on mobile devices and robots.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  This project is licensed under the Apache License 2.0 - see the [LICENSE](https://www.apache.org/licenses/LICENSE-2.0) file for details.
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  ## About us
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+ This project is maintained by the [MILVLG](https://github.com/MILVLG)@Hangzhou Dianzi University (HDU) led by Prof. Zhou Yu and Jun Yu, and is mainly developed by Zhenwei Shao and Xuecheng Ouyang. We hope our model may serve as a strong baseline to inspire future research on MSLM, as well as its derivative applications on mobile devices and robots.
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+ ## Citation
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+
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+ If you use our model or refer our work in your studies, please cite:
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+ ```bibtex
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+ @misc{imp2024,
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+ author = {Shao, Zhenwei and Yu, Zhou and Ouyang, Xuecheng and Yu, Jun},
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+ title = {Imp-v1: An emprical study of multimodal small language models},
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+ year = {2024},
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+ url = {https://huggingface.co/MILVLG/imp-v1-3b}
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+ }
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+ ```