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README.md
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</a>  ⭐️ <a href="https://superrobobrain.github.io/">Project</a></a>   |   ⭐️ <a href="https://github.com/FlagOpen/RoboBrain2.0">Github</a>   |   🤖 <a href="https://www.modelscope.cn/models/BAAI/RoboBrain2.0-
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</a>  🎯 <a href="https://github.com/FlagOpen/RoboOS">RoboOS</a>: An Efficient Open-Source Multi-Robot Coordination System for RoboBrain.
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## 🗞️ News
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- **`2025-07-03`**: 🤗 [RoboBrain 2.0-32B](https://huggingface.co/BAAI/RoboBrain2.0-32B) model checkpoint has been released in Huggingface
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- **`2025-06-07`**: 🎉 We highlight the training framework ([FlagScale](https://github.com/FlagOpen/FlagScale)) developed by *BAAI Framework R&D team*, and the evaluation framework ([FlagEvalMM](https://github.com/flageval-baai/FlagEvalMM)) by *BAAI FlagEval team*. Both are used for RoboBrain 2.0.
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- **`2025-06-06`**: 🤗 [RoboBrain 2.0-7B](https://huggingface.co/BAAI/RoboBrain2.0-7B) model checkpoint has been released in Huggingface..
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- **`2025-06-06`**: 🔥 We're excited to announce the release of our more powerful [RoboBrain 2.0](https://superrobobrain.github.io/).
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| Models | Checkpoint | Description |
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| RoboBrain 2.0 7B | [🤗 BAAI/RoboBrain2.0-7B](https://huggingface.co/BAAI/RoboBrain2.0-7B) | 7B parameter version of the RoboBrain2.0 |
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| RoboBrain 2.0 32B | [🤗 BAAI/RoboBrain2.0-32B](https://huggingface.co/BAAI/RoboBrain2.0-32B) | 32B parameter version of the RoboBrain2.0 |
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## 🛠️ Setup
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<p align="center">
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</a>  ⭐️ <a href="https://superrobobrain.github.io/">Project</a></a>   |   ⭐️ <a href="https://github.com/FlagOpen/RoboBrain2.0">Github</a>   |   🤖 <a href="https://www.modelscope.cn/models/BAAI/RoboBrain2.0-7B/files/">ModelScope</a>   |   📑 <a href="https://huggingface.co/papers/2507.02029">Technical Report</a>   |   💬 <a href="https://github.com/FlagOpen/RoboBrain2.0/raw/main/assets/wechat.png">WeChat</a>
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</p>
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<p align="center">
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</a>  🎯 <a href="https://github.com/FlagOpen/RoboOS">RoboOS</a>: An Efficient Open-Source Multi-Robot Coordination System for RoboBrain.
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</div>
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## 🗞️ News
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- **`2025-07-03`**: 🤗 [RoboBrain 2.0-32B](https://huggingface.co/BAAI/RoboBrain2.0-32B) model checkpoint has been released in Huggingface.
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- **`2025-06-07`**: 🎉 We highlight the training framework ([FlagScale](https://github.com/FlagOpen/FlagScale)) developed by *BAAI Framework R&D team*, and the evaluation framework ([FlagEvalMM](https://github.com/flageval-baai/FlagEvalMM)) by *BAAI FlagEval team*. Both are used for RoboBrain 2.0.
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- **`2025-06-06`**: 🤗 [RoboBrain 2.0-7B](https://huggingface.co/BAAI/RoboBrain2.0-7B) model checkpoint has been released in Huggingface..
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- **`2025-06-06`**: 🔥 We're excited to announce the release of our more powerful [RoboBrain 2.0](https://superrobobrain.github.io/).
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| Models | Checkpoint | Description |
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|----------------------|----------------------------------------------------------------|------------------------------------------------------------|
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| RoboBrain 2.0 7B | [🤗 BAAI/RoboBrain2.0-7B](https://huggingface.co/BAAI/RoboBrain2.0-7B) | 7B parameter version of the RoboBrain2.0 |
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| RoboBrain 2.0 32B | [🤗 BAAI/RoboBrain2.0-32B](https://huggingface.co/BAAI/RoboBrain2.0-32B) | 32B parameter version of the RoboBrain2.0 |
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## 🛠️ Setup
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