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--- |
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license: apache-2.0 |
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pipeline_tag: text-generation |
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datasets: |
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- liuhaotian/LLaVA-Pretrain |
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- liuhaotian/LLaVA-Instruct-150K |
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--- |
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# 😈 Imp |
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## Introduction |
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To fit the [MLC](https://github.com/mlc-ai/mlc-llm) framework for mobile devices, we further perform the 4-bit quantization to [`Imp-v1.5-3B-196`](https://huggingface.co/MILVLG/Imp-v1.5-3B-196-q4f16_1-MLC) to obtain `Imp-v1.5-3B-196-q4f16_1-MLC`. |
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To use this model on moblie devices, please refer to the [mlc-imp](https://github.com/MILVLG/mlc-imp) project. |
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## License |
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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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## Citation |
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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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@article{imp2024, |
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title={Imp: Highly Capable Large Multimodal Models for Mobile Devices}, |
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author={Shao, Zhenwei and Yu, Zhou and Yu, Jun and Ouyang, Xuecheng and Lihao, Zheng and Zhenbiao, Gai and Mingyang, Wang and Jiajun, Ding}, |
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journal={arXiv preprint arXiv:2405.12107}, |
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year={2024} |
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} |
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``` |
