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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: www.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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  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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+
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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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+ ```