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Although AKALlama-70B has significant potential, its responses can sometimes be inaccurate, biased, or misaligned, presenting risks if used without additional testing and refinement. Furthermore, the quality of the model's output is greatly influenced by the system prompt and decoding strategy. Changes in these areas could result in less precise outputs. Therefore, we strongly recommend handling our model with considerable caution.
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- Title image generated by DALL·E 3
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Although AKALlama-70B has significant potential, its responses can sometimes be inaccurate, biased, or misaligned, presenting risks if used without additional testing and refinement. Furthermore, the quality of the model's output is greatly influenced by the system prompt and decoding strategy. Changes in these areas could result in less precise outputs. Therefore, we strongly recommend handling our model with considerable caution.
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## Citation
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If you find our model useful in your work, please cite the model as follows:
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@misc{akallama,
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author = {Multimodal Intelligence Research Lab},
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title = {AkaLlama: Yonsei University Large Language Model Project},
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year = {2024},
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publisher = {Hugging Face},
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journal = {Hugging Face repository},
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howpublished = {\url{https://huggingface.co/mirlab/AkaLlama-llama3-70b-v0.1}},
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}
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<div align="center">
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<h2> 💌 Contact </h2>
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</div>
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We look forward for your feedback and welcome collaboration on this exciting project!
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## Contributors
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- [YoungJaeYu](https://yj-yu.github.io/home/)
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- [Yonsei MIRLab](https://mirlab.yonsei.ac.kr/)
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## Acknowledgement
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- Title image generated by DALL·E 3
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