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README.md
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## 1. Model Introduction
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| Model Name | Vision Encoder | Language Model | HF Link |
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| ---------------------- | -------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------- | ------------ |
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| Skywork-R1V2-38B | [InternViT-6B-448px-V2_5](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V2_5) | [Qwen/QwQ-32B](https://huggingface.co/Qwen/QwQ-32B) | [🤗 Link](https://huggingface.co/Skywork/Skywork-R1V2-38B) |
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## 2. Evaluation
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## 1. Model Introduction
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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.
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- On **OlympiadBench**, it achieves **62.6%**, leading **by a large margin** over other open models.
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- R1V2 also performs strongly on **MathVision**, **MMMU-Pro**, and **MathVista**, **rivaling proprietary commercial models**.
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- Overall, R1V2 stands out as a **high-performing, open-source VLM** combining powerful **visual reasoning** and **text understanding**.
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<br>
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### 🔧 Model Details
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<table>
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<thead>
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<tr>
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<th><strong>Model Name</strong></th>
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<th><strong>Vision Encoder</strong></th>
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<th><strong>Language Model</strong></th>
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<th><strong>Hugging Face Link</strong></th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>Skywork-R1V2-38B</td>
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<td><a href="https://huggingface.co/OpenGVLab/InternViT-6B-448px-V2_5">InternViT-6B-448px-V2_5</a></td>
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<td><a href="https://huggingface.co/Qwen/QwQ-32B">Qwen/QwQ-32B</a></td>
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<td><a href="https://huggingface.co/Skywork/Skywork-R1V2-38B">🤗 Link</a></td>
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</tr>
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</tbody>
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</table>
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## 2. Evaluation
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