feat(pretrained): add DPA4 OMat24 models

[njzjz-bot]

Summary

• register the five v20260805 DPA4-OMat24 checkpoints: Nano, Mini, Neo, Air, and Plus
• provide Hugging Face, hf-mirror, and ModelScope download sources
• pin the SHA-256 checksum for each checkpoint

The model files and checksums were taken from the DPA4-OMat24 release (also mirrored on ModelScope).

Validation

• python3 -m py_compile deepmd/pretrained/registry.py
• imported the registry and asserted all five entries' filenames, checksums, URLs, and sorted model-name enumeration
• git diff --check

uv run pytest ... and Ruff could not be run in this environment because dependency resolution could not fetch PyPI (numpy connection reset).

Authored by OpenClaw (model: custom-chat-jinzhezeng-group/gpt-5.6-terra)

Summary by CodeRabbit

• New Features
  • Added five pretrained DPA4 OMat24 models: Nano, Mini, Neo, Air, and Plus.
  • Models are available through Hugging Face, mirror, and ModelScope download sources.
  • Added versioned model files with integrity verification.

[coderabbitai]

No actionable comments were generated in the recent review. 🎉

ℹ️ Recent review info

⚙️ Run configuration

Configuration used: Repository UI

Review profile: CHILL

Plan: Pro Plus

Run ID: 6c946571-1933-48f0-a190-32020f5fc934

📥 Commits

Reviewing files that changed from the base of the PR and between 62cd093 and 4674dde.

📒 Files selected for processing (1)

• deepmd/pretrained/registry.py

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📝 Walkthrough

Walkthrough

The pretrained model registry adds five DPA4 OMat24 models: Nano, Mini, Neo, Air, and Plus. Each entry includes Hugging Face, mirror, and ModelScope URLs, a versioned checkpoint filename, and a SHA-256 checksum.

Changes

DPA4 OMat24 models

Layer / File(s)	Summary
Add DPA4 OMat24 registry entries deepmd/pretrained/registry.py	Adds registry metadata for the Nano, Mini, Neo, Air, and Plus models, including download URLs, checkpoint filenames, and SHA-256 checksums.

Estimated code review effort: 1 (Trivial) | ~5 minutes

Merge Risk: 🔵 Low · up to 4674d

The change is localized and mergeable with owner awareness, but the required lint and formatting checks should be completed before merge to catch style or static-analysis issues.

Possibly related PRs

• deepmodeling/deepmd-kit#5307: Adds pretrained model entries and mirror URLs to the same registry.
• deepmodeling/deepmd-kit#5489: Adds additional pretrained model entries to the same registry.
• deepmodeling/deepmd-kit#5970: Adds the same five DPA4 OMat24 models to the registry.

Suggested reviewers: anyangml, iprozd

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title clearly and concisely summarizes the addition of DPA4 OMat24 pretrained models to the registry.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 79.39%. Comparing base (62cd093) to head (4674dde).

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #5971      +/-   ##
==========================================
- Coverage   79.64%   79.39%   -0.25%     
==========================================
  Files        1085     1085              
  Lines      126583   126583              
  Branches     4592     4599       +7     
==========================================
- Hits       100811   100501     -310     
- Misses      24120    24430     +310     
  Partials     1652     1652              

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