---
license: llama3.2
language:
- en
- zh
---

# Breeze2-3B-Instruct-v0_1

【Paper】◇【Demo】◇【[Collection](https://huggingface.co/collections/MediaTek-Research/breeze-2-67863158443a06a72dd29900)】 

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

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. 
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. 
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.

*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).*

## Feature: Instruction Following

## Feature: Visual Instruction Following

## Feature: Function Calling

## Citation

```
@article{breeze2,
  title={The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on LLaMA with Vision-Aware and Function-Calling Capabilities},
  author={Breeze Team, MediaTek Research},
  journal={arXiv},
  year={2025}
}
```