The code underwent a large-scale restructuring, and the DeePMD-kit v3 alpha version was successfully released in early March. Compared to v2, DeePMD-kit v3 allows users to train and run deep potential models on either the TensorFlow or PyTorch framework, facilitating broader compatibility across downstream applications. DeePMD-kit v3 also adds support for the DPA-2 model, marking a new chapter for Large Atomic Models (LAM). For a more detailed report, see: https://github.com/deepmodeling/deepmd-kit/discussions/3401.
0 commit comments