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update readme

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@@ -39,7 +39,7 @@ OpenDM provides DM0.5 model weights, training and inference scripts, dataset reg
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  | DM05-libero | LIBERO fine-tuned DM0.5 model for evaluation | [🤗 Dexmal/DM05-libero](https://huggingface.co/Dexmal/DM05-libero) | [Training & Evaluation](https://github.com/dexmal/opendm/blob/main/docs/en/dm05_libero.md) |
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  | DM05-robotwin2 | RoboTwin2.0 fine-tuned DM0.5 model for evaluation | [🤗 Dexmal/DM05-robotwin2](https://huggingface.co/Dexmal/DM05-robotwin2) | [Training & Evaluation](https://github.com/dexmal/opendm/blob/main/docs/en/dm05_robotwin2.md) |
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- | DM05-SO101-Pick-Cube | SO101 fine-tuned DM0.5 model for evaluation | [🤗 Dexmal/DM05-SO101-Pick-Cube](https://huggingface.co/Dexmal/DM05-SO101-Pick-Cube) |
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  ## Quick Start
 
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  | --- | --- | --- | --- |
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  | DM05-libero | LIBERO fine-tuned DM0.5 model for evaluation | [🤗 Dexmal/DM05-libero](https://huggingface.co/Dexmal/DM05-libero) | [Training & Evaluation](https://github.com/dexmal/opendm/blob/main/docs/en/dm05_libero.md) |
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  | DM05-robotwin2 | RoboTwin2.0 fine-tuned DM0.5 model for evaluation | [🤗 Dexmal/DM05-robotwin2](https://huggingface.co/Dexmal/DM05-robotwin2) | [Training & Evaluation](https://github.com/dexmal/opendm/blob/main/docs/en/dm05_robotwin2.md) |
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+ | DM05-SO101-Pick-Cube | SO101 Pick Cube fine-tuned DM0.5 model for real-robot evaluation | [🤗 Dexmal/DM05-SO101-Pick-Cube](https://huggingface.co/Dexmal/DM05-SO101-Pick-Cube) | [LoRA SFT Training Guide](https://github.com/dexmal/opendm/blob/main/docs/en/dm05_so101_lora_training.md) |
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  ## Quick Start