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# **QvQ Step Tiny [2B]
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"QvQ-Step-Tiny is a step-by-step context explainer Vision-Language model based on the Qwen2-VL architecture, fine-tuned using the VCR datasets for systematic step-by-step explanations. It is built on the Qwen2VLForConditionalGeneration framework with 2.21 billion parameters and uses BF16 (Brain Floating Point 16) precision."
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