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---
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license: apache-2.0
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base_model:
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- Qwen/Qwen2.5-7B-Instruct
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pipeline_tag: text-to-3d
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datasets:
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- FreedomIntelligence/BlendNet
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metrics:
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- code_eval
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tags:
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- code
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- render
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- CAD
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- 3D
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- Modeling
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- LLM
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- bpy
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- Blender
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language:
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- zho
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- eng
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- fra
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- spa
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- por
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- deu
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- ita
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- rus
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- jpn
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- kor
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- vie
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- tha
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- ara
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---
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# 🤖 BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement
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**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.
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For more details, please visit our [GitHub repository](https://github.com/FreedomIntelligence/BlenderLLM) or refer to our [arXiv paper](https://www.arxiv.org/abs/2412.14203).
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## 📖 Citation
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```angular2
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@misc{du2024blenderllmtraininglargelanguage,
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title={BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement},
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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},
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year={2024},
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eprint={2412.14203},
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archivePrefix={arXiv},
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primaryClass={cs.HC},
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url={https://arxiv.org/abs/2412.14203},
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}
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```
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We are from the School of Data Science (SDS), the Chinese University of Hong Kong, Shenzhen (CUHKSZ).
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