README.md

metadata

license: cc-by-nc-sa-4.0
base_model: Qwen/Qwen2.5-1.5B-Instruct
language:
  - en
pipeline_tag: text-generation
tags:
  - 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: www.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")