Model Summary

The TVC models are 7B parameter models based on Qwen2-VL-7B-Instruct model with a context window of 8K tokens.

Model Architecture

  • Architecture: Qwen2-VL-7B-Instruct
  • Data: a mixture of 300k long-chain reasoning data
  • Precision: BFloat16

Hardware & Software

  • Hardware: 64 * NVIDIA Tesla H20
  • Orchestration: HuggingFace Trainer
  • Code: Pytorch

Framework versions

  • Transformers 4.46.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Citation

@article{sun2024mitigating,
    title={Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning},
    author={Sun, Hai-Long and Sun, Zhun and Peng, Houwen and Ye, Han-Jia},
    journal={arXiv preprint arXiv:2503.13360},
    year={2025}
}
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