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deepmd-finetune-dpa3

jinzhezenggroup/computational-chemistry-agent-skillsSkill

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.

ScannedSkillSource: GitHub
153 stars +2 this week Updated 16d ago License LGPL-3.0 Context ≈114 tokens always loaded
61popular

Why this score

Stars8/35
Usage (forks)3/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 10 skills, so its 153 stars are split between them (about 15 each) for scoring.

Popularity score: 61/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 20, 2026 at commit 5c19e75b256d, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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