π€ BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement
BlenderLLM is built using Qwen2.5-Coder-7B-Instruct as the base model. It has been fine-tuned on the BlendNet training dataset and further optimized through Self-improvement techniques to achieve the best performance.
For more details, please visit our GitHub repository or refer to our arXiv paper.
π Citation
@misc{du2024blenderllmtraininglargelanguage,
title={BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement},
author={Yuhao Du and Shunian Chen and Wenbo Zan and Peizhao Li and Mingxuan Wang and Dingjie Song and Bo Li and Yan Hu and Benyou Wang},
year={2024},
eprint={2412.14203},
archivePrefix={arXiv},
primaryClass={cs.HC},
url={https://arxiv.org/abs/2412.14203},
}
We are from the School of Data Science (SDS), the Chinese University of Hong Kong, Shenzhen (CUHKSZ).
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