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README.md
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# Description
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DPA-3.2-5M is trained using a multitask strategy on the [OpenLAM datasets V2](https://www.aissquare.com/datasets/detail?pageType=datasets&name=OpenLAM-TrainingSet-v2&id=391).
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Please ensure the usage of the correct code version
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Compared with DPA-3.1-3M, the following changes were made:
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1. The model depth was increased from 16 layers to 24 layers.
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pip install git+https://github.com/deepmodeling/deepmd-kit@v3.1.2
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```
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For other installation options, please visit the [Releases page](https://github.com/deepmodeling/deepmd-kit/releases/tag/v3.1.
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## Use the pretrained model
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# Description
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DPA-3.2-5M is trained using a multitask strategy on the [OpenLAM datasets V2](https://www.aissquare.com/datasets/detail?pageType=datasets&name=OpenLAM-TrainingSet-v2&id=391).
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Please ensure the usage of the correct code version [**v3.1.2**](https://github.com/deepmodeling/deepmd-kit/releases/tag/v3.1.2) corresponding to this model.
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Compared with DPA-3.1-3M, the following changes were made:
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1. The model depth was increased from 16 layers to 24 layers.
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pip install git+https://github.com/deepmodeling/deepmd-kit@v3.1.2
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```
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For other installation options, please visit the [Releases page](https://github.com/deepmodeling/deepmd-kit/releases/tag/v3.1.2) page to download the off-line package for **deepmd-kit devel**, and refer to the [official documentation](https://docs.deepmodeling.com/projects/deepmd/en/v3.0.0rc0/install/easy-install.html) for off-line installation instructions.
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## Use the pretrained model
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