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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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--- |
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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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