Software Development

DeePMD Finetune DPA3

Fine-tune a DPA3 model in DeePMD-kit using the PyTorch backend. Use when the user wants to adapt a pre-trained DPA3 model to a new downstream dataset. Supports fine-tuning from a self-trained DPA3 model (.pt checkpoint), from a multi-task pre-trained model, or from a built-in pretrained model downloaded via `dp pretrained download` (e.g., DPA-3.1-3M, DPA-3.2-5M, DPA-3.3-1M). Covers single-task and multi-task fine-tuning workflows.

Publisher / source

deepmodeling/deepmd-kit (found on GitHub top repositories)

Upstream record

deepmodeling/deepmd-kit

Version

Version 1

Published

2026-11-07

Publication review

Approved for publication · recorded passed scan 2026-11-07

Content fingerprint

10dcff16bf4f3f5791578c44e0b110c5f456c92a6d79a11c3bec0aee20b185a6