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  # Breeze2-8B-Instruct-v0_1
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- 【[Paper](https://github.com/mtkresearch/MR-Models/blob/main/docs/Breeze2.pdf)】◇【[Kaggle Demo](https://www.kaggle.com/code/ycckaggle/demo-breeze-2-8b)】◇【[Collection](https://huggingface.co/collections/MediaTek-Research/breeze-2-67863158443a06a72dd29900)】
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  **The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on LLaMA with Vision-Aware and Function-Calling Capabilities**
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  title={The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on LLaMA with Vision-Aware and Function-Calling Capabilities},
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  author={Breeze Team, MediaTek Research},
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  journal={arXiv},
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- year={2025}
 
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  }
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  ```
 
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  # Breeze2-8B-Instruct-v0_1
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+ 【[Paper](https://arxiv.org/abs/2501.13921)】◇【[Kaggle Demo](https://www.kaggle.com/code/ycckaggle/demo-breeze-2-8b)】◇【[Collection](https://huggingface.co/collections/MediaTek-Research/breeze-2-67863158443a06a72dd29900)】
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  **The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on LLaMA with Vision-Aware and Function-Calling Capabilities**
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  title={The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on LLaMA with Vision-Aware and Function-Calling Capabilities},
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  author={Breeze Team, MediaTek Research},
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  journal={arXiv},
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+ year={2025},
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+ url={https://arxiv.org/abs/2501.13921}
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  }
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  ```