| | --- |
| | 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 |
| | --- |
| | |
| | # 🤖 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). |
| |
|
