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---
license: apache-2.0
base_model:
- Qwen/Qwen2.5-7B-Instruct
pipeline_tag: text-to-3d
datasets:
- FreedomIntelligence/BlendNet
metrics:
- code_eval
tags:
- code
- render
- CAD
- 3D
- Modeling
- LLM
- bpy
- Blender
language:
- zho
- eng
- fra
- spa
- por
- deu
- ita
- rus
- jpn
- kor
- vie
- tha
- ara
---
# 🤖 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](https://github.com/FreedomIntelligence/BlenderLLM) or refer to our [arXiv paper](https://www.arxiv.org/abs/2412.14203).
## 📖 Citation
```angular2
@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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