respace-sg-llm-1.5b/README.md

license, base_model, language, pipeline_tag, tags

license	base_model	language	pipeline_tag	tags
cc-by-nc-sa-4.0	Qwen/Qwen2.5-1.5B-Instruct	en	text-generation	3d-scenes indoor-scenes furniture fine-tuned qwen2.5 respace sg-llm spatial-reasoning text-to-3d scene-synthesis computer-graphics

respace-sg-llm-1.5b

Fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct for 3D indoor scene synthesis coined SG-LLM.

Mor information about ReSpace: http://respace.mnbucher.com

For detailed usage instructions, training details, and examples, see the associated repository: https://github.com/GradientSpaces/respace

Raw Usage

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:

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("gradient-spaces/respace-sg-llm-1.5b")
tokenizer = AutoTokenizer.from_pretrained("gradient-spaces/respace-sg-llm-1.5b")

Citation

If you use SG-LLM, the ReSpace framework, or you found our work useful, please cite us as follows:

@article{bucher2025respace,
  title={ReSpace: Text-Driven Autoregressive 3D Indoor Scene Synthesis and Editing},
  author={Bucher, Martin JJ and Armeni, Iro},
  journal={arXiv preprint arXiv:2506.02459},
  year={2025}
}