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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:
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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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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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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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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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```
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