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arXiv · 2501.13921

The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities

MediaTek Research·:·Chan-Jan Hsu·Chia-Sheng Liu·Meng-Hsi Chen·Muxi Chen·Po-Chun Hsu·Yi-Chang Chen·Da-Shan Shiu
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Abstract

Llama-Breeze2 (hereinafter referred to as Breeze2) is a suite of advanced multi-modal language models, available in 3B and 8B parameter configurations, specifically designed to enhance Traditional Chinese language representation. Building upon the Llama 3.2 model family, we continue the pre-training of Breeze2 on an extensive corpus to enhance the linguistic and cultural heritage of Traditional Chinese. In addition to language modeling capabilities, we significantly augment the models with function calling and vision understanding capabilities. At the time of this publication, as far as we are aware, absent reasoning-inducing prompts, Breeze2 are the strongest performing models in Traditional Chinese function calling and image understanding in its size class. The effectiveness of Breeze2 is benchmarked across various tasks, including Taiwan general knowledge, instruction-following, long context, function calling, and vision understanding. We are publicly releasing all Breeze2 models under the Llama 3.2 Community License. We also showcase the capabilities of the model running on mobile platform with a mobile application which we also open source.

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MediaTek Research, :, Chan-Jan Hsu, Chia-Sheng Liu, Meng-Hsi Chen, Muxi Chen, Po-Chun Hsu, Yi-Chang Chen, Da-Shan Shiu. 2025-01-23. The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities. https://arxiv.org/abs/2501.13921

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