How to use from the
Use from the
Transformers library
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, Qwen2_5_VLForConditionalGenerationWithVGGT

processor = AutoProcessor.from_pretrained("BAAI/ConsiSpace")
model = Qwen2_5_VLForConditionalGenerationWithVGGT.from_pretrained("BAAI/ConsiSpace", device_map="auto")
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This model is the result of joint research conducted by Hao Tang's team at the School of Computer Science, Peking University, and the Beijing Academy of Artificial Intelligence (BAAI).

ConsiSpace

Official model weights for ConsiSpace.

ConsiSpace is a geometry-consistent multimodal framework for spatial reasoning in long-form visual observations.

📄 Paper: https://arxiv.org/abs/2607.17599

@article{huang2026consispace,
      title={ConsiSpace: Learning Geometric Consistency Matters for Video Spatial Reasoning}, 
      author={Ting Huang and Zhenyu Zhang and Wenyuan Huang and Jian Yang and Hao Tang},
      year={2026},
      eprint={2607.17599},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2607.17599}, 
}
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Paper for BAAI/ConsiSpace