feat(pretrained): add DPA3-Omol-Large

[njzjz-bot]

Problem

• DPA3-Omol-Large is already published on model hubs but is not exposed through dp pretrained.
• Users currently cannot download or resolve it via a built-in model alias.

Change

• add DPA3-Omol-Large to the built-in pretrained model registry
• include Hugging Face / hf-mirror / ModelScope download URLs and the model sha256
• update the pretrained-model docs and add alias/backend coverage in tests

Notes

• The SHA256 (dc4d252b31450b41eb3546cc48f640ad0831c0b5d069ce27d996e0ff58fc037a) was taken from the Hugging Face LFS object for DPA3-Omol-Large.pt.
• In this environment I only ran lightweight local validation (py_compile + an AST-based registry check). I did not run the full project test suite because the repo test environment was not fully provisioned here.

Authored by OpenClaw (model: gpt-5.4)

Summary by CodeRabbit

• New Features

  • Added "DPA3-Omol-Large" as a new pretrained model, available from multiple download mirrors for improved accessibility and reliability.

• Documentation

  • Updated pretrained model examples to include "DPA3-Omol-Large".

• Tests

  • Added tests to validate recognition and alias normalization for the new model name.

[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

Run ID: fc3e81aa-7769-4a49-8c0d-a8bdf7b9cfeb

📥 Commits

Reviewing files that changed from the base of the PR and between 9045145 and cfd38f7.

📒 Files selected for processing (1)

• source/tests/common/test_pretrained_backend.py

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📝 Walkthrough

Walkthrough

Adds a new pretrained model entry "DPA3-Omol-Large" to the model registry with download URLs and SHA256, updates pretrained docs to list the model, and adds tests for backend detection and alias parsing for the new model.

Changes

Cohort / File(s)	Summary
Model Registry deepmd/pretrained/registry.py	Added DPA3-Omol-Large entry to MODEL_REGISTRY with three download URLs, filename and sha256.
Documentation doc/model/pretrained.md	Added DPA3-Omol-Large to the Examples section of pretrained models documentation.
Test Coverage source/tests/common/test_pretrained_backend.py	Added tests test_detect_backend_by_new_model_name() and test_parse_pretrained_alias_new_model_name() to verify backend detection and alias normalization for the new model.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

Possibly related PRs

• feat(pretrained): add DPA-2.4-7M to registry #5307: Also modifies deepmd/pretrained/registry.py by adding pretrained model entries.
• doc: use DPA3 instead of DPA-3 #4792: Related to standardizing DPA3 naming and renaming variants across docs/descriptors.

Suggested reviewers

• njzjz
• iProzd

🚥 Pre-merge checks | ✅ 2 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Docstring Coverage	⚠️ Warning	Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%.	Write docstrings for the functions missing them to satisfy the coverage threshold.

✅ Passed checks (2 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title 'feat(pretrained): add DPA3-Omol-Large' directly and clearly summarizes the main change: adding a new pretrained model to the registry.

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📝 Coding Plan

• Generate coding plan for human review comments

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 82.30%. Comparing base (3ab3779) to head (cfd38f7).
⚠️ Report is 1 commits behind head on master.

Additional details and impacted files

@@           Coverage Diff           @@
##           master    #5327   +/-   ##
=======================================
  Coverage   82.30%   82.30%           
=======================================
  Files         775      775           
  Lines       77663    77663           
  Branches     3677     3676    -1     
=======================================
  Hits        63923    63923           
  Misses      12566    12566           
  Partials     1174     1174           

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