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README.md

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 ## 📖 [Technical Report](https://github.com/SkyworkAI/Skywork-R1V/blob/main/Skywork_R1V.pdf) | 💻 [GitHub](https://github.com/SkyworkAI/Skywork-R1V) | 🌐 [ModelScope](https://modelscope.cn/models/Skywork/Skywork-R1V-38B)
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 [![GitHub Stars](https://img.shields.io/github/stars/SkyworkAI/Skywork-R1V)](https://github.com/SkyworkAI/Skywork-R1V/stargazers) [![GitHub Forks](https://img.shields.io/github/forks/SkyworkAI/Skywork-R1V)](https://github.com/SkyworkAI/Skywork-R1V/fork)
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 ## 1. Model Introduction
 
 Skywork-R1V2-38B is a **state-of-the-art open-source multimodal reasoning model**, achieving top-tier performance across multiple benchmarks:
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 - On **MMMU**, it scores **73.6%**, the **highest among all open-source models** to date.
 - On **OlympiadBench**, it achieves **62.6%**, leading **by a large margin** over other open models.
 - R1V2 also performs strongly on **MathVision**, **MMMU-Pro**, and **MathVista**, **rivaling proprietary commercial models**.
 - Overall, R1V2 stands out as a **high-performing, open-source VLM** combining powerful **visual reasoning** and **text understanding**.
 
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 ### 🔧 Model Details
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 ## 2. Evaluation