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--- |
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license: cc-by-nc-sa-4.0 |
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base_model: Qwen/Qwen2.5-1.5B-Instruct |
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language: |
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- en |
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pipeline_tag: text-generation |
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tags: |
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- 3d-scenes |
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- indoor-scenes |
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- furniture |
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- fine-tuned |
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- qwen2.5 |
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- respace |
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- sg-llm |
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- spatial-reasoning |
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- text-to-3d |
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- scene-synthesis |
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- computer-graphics |
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--- |
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# respace-sg-llm-1.5b |
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Fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) for 3D indoor scene synthesis coined SG-LLM. |
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Mor information about ReSpace: http://respace.mnbucher.com |
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For detailed usage instructions, training details, and examples, see the associated repository: https://github.com/GradientSpaces/respace |
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## Raw Usage |
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It is not recommended to use SG-LLM separately without the scaffolding for addition/removal that is provided in the ReSpace repository. However, if you want to play around with model capabilities and limitations, you can use it via: |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model = AutoModelForCausalLM.from_pretrained("gradient-spaces/respace-sg-llm-1.5b") |
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tokenizer = AutoTokenizer.from_pretrained("gradient-spaces/respace-sg-llm-1.5b") |
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``` |
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## Citation |
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If you use SG-LLM, the ReSpace framework, or if you found our work useful, please cite us as follows: |
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```bibtex |
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@article{bucher2025respace, |
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title={ReSpace: Text-Driven 3D Scene Synthesis and Editing with Preference Alignment}, |
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author={Bucher, Martin JJ and Armeni, Iro}, |
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journal={arXiv preprint arXiv:2506.02459}, |
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year={2025} |
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} |
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``` |
