deepmd-finetune-dpa3
From the author
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.
Install
npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill deepmd-finetune-dpa3 -a claude-code
Installs to .claude/skills/deepmd-finetune-dpa3/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (LGPL-3.0) does not let us redistribute its files. The install commands fetch them from GitHub instead.
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Why 82
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