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The Insight-V models are 7B parameter models based on Qwen2.5 language model with a context window of 32K tokens.
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- **Repository:** https://github.com/dongyh20/Insight-V
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- **Languages:** English, Chinese
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The Insight-V models are 7B parameter models based on Qwen2.5 language model with a context window of 32K tokens.
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Insight-V offers **1)** a scalable data generation pipeline for long-chain, high-quality reasoning data, **2)** a multi-agent system that decomposes visual reasoning tasks into reasoning and summarization, and **3)** a two-stage training pipeline to enhance visual reasoning capabilities. Together, these contributions address key challenges in visual reasoning, providing a solid foundation for future research in MLLM reasoning.
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- **Repository:** https://github.com/dongyh20/Insight-V
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- **Languages:** English, Chinese
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