deepmd-finetune-dpa3
deepmd-finetune-dpa3 is a Model training & evaluation skill for AI agents, published by deepmodeling in the deepmd-kit repository on GitHub. Skillspace rates deepmd-finetune-dpa3 C (72/100) and it passed the safety scan; the rating is based on static analysis only.
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.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 1,982
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- LGPL-3.0
- Adoption
- Adopted by 1 other repositories, in 1 collections
- Scope
- Vendor-specific: built around one product. Fine-tuning DPA3 models with DeePMD-kit
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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