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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ pipeline_tag: image-text-to-text
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+ library_name: transformers
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+ license: mit
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+ ---
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+
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+ # Skywork-R1V
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+
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+ <div align="center">
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+ <img src="skywork-logo.png" alt="Introduction Image" width="500" height="400">
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+ </div>
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+
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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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+
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+ <div align="center">
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+
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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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+
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+ </div>
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+
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+
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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-R1V-38B | [InternViT-6B-448px-V2_5](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V2_5) | [deepseek-ai/DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) | [🤗 Link](https://huggingface.co/Skywork/Skywork-R1V-38B) |
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+ | Skywork-R1V-38B-qwq | [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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+
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+
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+ ## 2. Feature
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+ - **Visual Chain-of-Thought**: Enables multi-step logical reasoning on visual inputs, breaking down complex image-based problems into manageable steps.
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+ - **Mathematical & Scientific Analysis**: Capable of solving visual math problems and interpreting scientific/medical imagery with high precision.
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+ - **Cross-Modal Understanding**: Seamlessly integrates text and images for richer, context-aware comprehension.
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+
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+
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+ ## 3. Evaluation
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+ <br>
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+ <br>
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+ <div align="center">
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+ <b>Comparison with Larger-Scale Open-Source and Closed-Source Models</b>
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+ </div>
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+
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+ <table align="center">
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+ <thead>
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+ <tr>
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+ <th></th>
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+ <th align="center"><strong>Benchmark</strong></th>
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+ <th align="center"><strong>LLM</strong></th>
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+ <th align="center" colspan="4"><strong>VLM</strong></th>
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+ </tr>
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+ <tr>
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+ <th></th>
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+ <th></th>
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+ <th align="center"><strong>QwQ-32B-Preview</strong></th>
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+ <th align="center"><strong>InternVL-2.5-38B</strong></th>
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+ <th align="center"><strong>VILA 1.5-40B</strong></th>
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+ <th align="center"><strong>InternVL2-40B</strong></th>
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+ <th align="center"><strong>Skywork-R1V-38B</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 rowspan="3">Reasoning</td>
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+ <td>MATH-500</td>
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+ <td align="center">90.6</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ <td align="center"><strong>94.0</strong></td>
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+ </tr>
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+ <tr>
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+ <td>AIME 2024</td>
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+ <td align="center">50.0</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ <td align="center"><strong>72.0</strong></td>
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+ </tr>
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+ <tr>
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+ <td>GPQA</td>
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+ <td align="center">54.5</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ <td align="center"><strong>61.6</strong></td>
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+ </tr>
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+ <tr>
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+ <td rowspan="3">Vision</td>
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+ <td>MathVista(mini)</td>
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+ <td align="center">-</td>
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+ <td align="center">71.9</td>
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+ <td align="center">49.5</td>
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+ <td align="center">63.7</td>
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+ <td align="center">67.5</td>
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+ </tr>
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+ <tr>
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+ <td>MMMU(Val)</td>
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+ <td align="center">-</td>
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+ <td align="center">63.9</td>
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+ <td align="center">55.1</td>
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+ <td align="center">55.2</td>
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+ <td align="center"><strong>69.0</strong></td>
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+ </tr>
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+ </tbody>
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+ </table>
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+
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+
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+ <br>
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+ <br>
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+ <div align="center">
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+ <b>Evaluation results of state-of-the-art LLMs and VLMs</b>
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+ </div>
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+ <table>
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+ <thead>
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+ <tr>
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+ <th></th>
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+ <th align="center"><strong>Vision</strong></th>
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+ <th align="center" colspan="3"><strong>Reasoning</strong></th>
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+ <th align="center" colspan="3"><strong>Vision</strong></th>
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+ </tr>
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+ <tr>
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+ <th></th>
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+ <th></th>
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+ <th align="center"><strong>MATH-500</strong></th>
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+ <th align="center"><strong>AIME 2024</strong></th>
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+ <th align="center"><strong>GPQA</strong></th>
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+ <th align="center"><strong>MathVista(mini)</strong></th>
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+ <th align="center"><strong>MMMU(Val)</strong></th>
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+ </tr>
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+ <tr>
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+ <th></th>
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+ <th></th>
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+ <th align="center">pass@1</th>
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+ <th align="center">pass@1</th>
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+ <th align="center">pass@1</th>
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+ <th align="center">pass@1</th>
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+ <th align="center">pass@1</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>Qwen2.5-72B-Instruct</td>
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+ <td align="center">❌</td>
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+ <td align="center">80.0</td>
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+ <td align="center">23.3</td>
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+ <td align="center">49.0</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ </tr>
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+ <tr>
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+ <td>Deepseek V3</td>
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+ <td align="center">❌</td>
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+ <td align="center">90.2</td>
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+ <td align="center">39.2</td>
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+ <td align="center">59.1</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ </tr>
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+ <tr>
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+ <td>Deepseek R1</td>
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+ <td align="center">❌</td>
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+ <td align="center">97.3</td>
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+ <td align="center">79.8</td>
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+ <td align="center">71.5</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ </tr>
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+ <tr>
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+ <td>Claude 3.5 Sonnet</td>
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+ <td align="center">✅</td>
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+ <td align="center">78.3</td>
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+ <td align="center">16.0</td>
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+ <td align="center">65.0</td>
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+ <td align="center">65.3</td>
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+ <td align="center">66.4</td>
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+ </tr>
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+ <tr>
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+ <td>GPT-4o</td>
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+ <td align="center">✅</td>
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+ <td align="center">74.6</td>
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+ <td align="center">9.3</td>
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+ <td align="center">49.9</td>
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+ <td align="center">63.8</td>
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+ <td align="center">69.1</td>
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+ </tr>
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+ <tr>
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+ <td>Kimi k1.5</td>
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+ <td align="center">✅</td>
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+ <td align="center">96.2</td>
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+ <td align="center">77.5</td>
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+ <td align="center">-</td>
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+ <td align="center">74.9</td>
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+ <td align="center">70.0</td>
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+ </tr>
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+ <tr>
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+ <td>Qwen2.5-VL-72B-Instruct</td>
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+ <td align="center">✅</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ <td align="center">74.8</td>
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+ <td align="center">70.2</td>
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+ </tr>
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+ <tr>
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+ <td>LLaVA-Onevision-72B</td>
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+ <td align="center">✅</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ <td align="center">67.5</td>
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+ <td align="center">56.8</td>
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+ </tr>
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+ <tr>
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+ <td>InternVL2-Llama3-76B</td>
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+ <td align="center">✅</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ <td align="center">65.5</td>
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+ <td align="center">62.7</td>
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+ </tr>
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+ <tr>
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+ <td>InternVL2.5-78B</td>
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+ <td align="center">✅</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ <td align="center">-</td>
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+ <td align="center">72.3</td>
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+ <td align="center">70.1</td>
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+ </tr>
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+ <tr>
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+ <td>Skywork-R1V-38B</td>
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+ <td align="center">✅</td>
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+ <td align="center">94.0</td>
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+ <td align="center">72.0</td>
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+ <td align="center">61.6</td>
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+ <td align="center">67.5</td>
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+ <td align="center">69.0</td>
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+ </tr>
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+ </tbody>
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+ </table>
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+
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+ <div align="center">
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+ <img src="eval.jpeg" width="90%" height="90%" alt="skywork_r1v_eval" />
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+ </div>
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+
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+ ---
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+
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+
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+ ## 4. Usage
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+
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+ ### 1. Clone the Repository
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+
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+ ```shell
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+ git clone https://github.com/SkyworkAI/Skywork-R1V.git
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+ cd skywork-r1v/inference
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+ ```
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+ ### 2. Set Up the Environment
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+
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+ ```shell
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+ conda create -n r1-v python=3.10
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+ conda activate r1-v
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+ bash setup.sh
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+ ```
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+
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+ ### 3. Run the Inference Script
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+
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+ ```shell
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+ CUDA_VISIBLE_DEVICES="0,1" python inference_with_transformers.py \
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+ --model_path path \
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+ --image_paths image1_path \
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+ --question "your question"
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+ ```
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+
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+ ---
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+
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+ ## 5. Citation
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+ If you use Skywork-R1V in your research, please cite:
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+
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+ ```
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+ @misc{peng2025skyworkr1vpioneeringmultimodal,
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+ title={Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought},
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+ author={Yi Peng and Chris and Xiaokun Wang and Yichen Wei and Jiangbo Pei and Weijie Qiu and Ai Jian and Yunzhuo Hao and Jiachun Pan and Tianyidan Xie and Li Ge and Rongxian Zhuang and Xuchen Song and Yang Liu and Yahui Zhou},
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+ year={2025},
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+ eprint={2504.05599},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2504.05599},
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+ }
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+ ```
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+
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+ *This project is released under an open-source license.*
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+
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+ ## Star History
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+ [![Star History Chart](https://api.star-history.com/svg?repos=SkyworkAI/Skywork-R1V&type=Date)](https://www.star-history.com/#SkyworkAI/Skywork-R1V&Date)
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+ ```