deepmd-finetune-dpa3
95 / 100 · Low risk
Fine to try.
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.
What this skill can do
Runs commands on your computer
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'deepmd-finetune-dpa3' ] || [ -L ~/.agents/skills/'deepmd-finetune-dpa3' ]; then echo 'A skill folder named deepmd-finetune-dpa3 already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/jinzhezenggroup/computational-chemistry-agent-skills' "$d" && git -C "$d" checkout --quiet '8ab83a96292bb4d13ba7e4a2b015015f0332e8cc' -- 'machine-learning-potentials/deepmd-finetune-dpa3' && mkdir -p ~/.agents/skills && cp -R "$d"/'machine-learning-potentials/deepmd-finetune-dpa3' ~/.agents/skills/'deepmd-finetune-dpa3' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'deepmd-finetune-dpa3' ~/.claude/skills/'deepmd-finetune-dpa3' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/jinzhezenggroup/computational-chemistry-agent-skills/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-07 | 8ab83a9 | 95 |