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--- |
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license: llama3.2 |
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language: |
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- en |
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- zh |
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--- |
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# Breeze2-3B-Instruct-v0_1 |
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【Paper】◇【Demo】◇【[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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Breeze 2 is a suite of advanced multi-modal language models, available in 3B and 8B parameter configurations, specifically designed to enhance Traditional Chinese language representation. |
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Building upon the [LLaMA 3.2](https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/), Breeze 2 continues pretraining on an extensive corpus to enhance the linguistic and cultural heritage of Traditional Chinese. |
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It incorporates vision-aware capabilities through a visual encoder and a bridge module, and supports function-calling via prompt templates and post-training on function-calling data. |
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*We list all contributors in alphabetical order of their first names, as follows: Chan-Jan Hsu (許湛然), Chia-Sheng Liu (劉佳昇), Meng-Hsi Chen (陳孟羲), Muxi Chen (陳沐希), Po-Chun Hsu (許博竣), Yi-Chang Chen (陳宜昌), and the supervisor Da-Shan Shiu (許大山).* |
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## Feature: Instruction Following |
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## Feature: Visual Instruction Following |
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## Feature: Function Calling |
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## Citation |
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``` |
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@article{breeze2, |
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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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