ViCA-7B is a vision-language model fine-tuned specifically for visual-spatial reasoning in indoor video environments. Built on the LLaVA-Video-7B-Qwen2 architecture and trained using the ViCA-322K dataset, it emphasizes structured spatial annotation and instruction-based complex reasoning tasks.
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