QVQ - an open-weight model for multimodal reasoning, built upon Qwen2-VL-72B. QVQ represents a significant leap forward in AI’s capacity for visual understanding and complex problem-solving. QVQ achieves a score of 70.3 on MMMU and shows substantial improvements across math-related benchmarks compared to Qwen2-VL-72B-Instruct. Through careful step-by-step reasoning, QVQ demonstrates enhanced capabilities in visual reasoning tasks, particularly excelling in domains that demand sophisticated analytical thinking.
In this video we discuss about this new model from China, We also test the model with a few math problems !
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