feat(pretrained): add DPA3-Omol-Large (#5327)

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)


<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## 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.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

Author: njzjz-bot

deepmd/pretrained/registry.py

@@ -33,6 +33,15 @@
         "filename": "dpa-2.4-7M.pt",
         "sha256": "7a5ca2b01579d9617502b4203af839107fdcf1ec7e3ae1d66a5b14811bc5b741",
     },
+    "DPA3-Omol-Large": {
+        "urls": [
+            "https://huggingface.co/deepmodelingcommunity/DPA3-Omol-Large/resolve/main/DPA3-Omol-Large.pt?download=true",
+            "https://hf-mirror.com/deepmodelingcommunity/DPA3-Omol-Large/resolve/main/DPA3-Omol-Large.pt?download=true",
+            "https://modelscope.cn/models/DeepModelingCommunity/DPA3-Omol-Large/resolve/master/DPA3-Omol-Large.pt",
+        ],
+        "filename": "DPA3-Omol-Large.pt",
+        "sha256": "dc4d252b31450b41eb3546cc48f640ad0831c0b5d069ce27d996e0ff58fc037a",
+    },
 }
 
 

doc/model/pretrained.md

@@ -19,6 +19,7 @@ Examples in this release include:
 
 - `DPA-3.2-5M`
 - `DPA-3.1-3M`
+- `DPA3-Omol-Large`
 
 ## Examples
 

source/tests/common/test_pretrained_backend.py

@@ -27,6 +27,10 @@ def test_detect_backend_by_model_name(self) -> None:
         backend = Backend.detect_backend_by_model("DPA-3.2-5M")
         self.assertIs(backend, PretrainedBackend)
 
+    def test_detect_backend_by_new_model_name(self) -> None:
+        backend = Backend.detect_backend_by_model("DPA3-Omol-Large")
+        self.assertIs(backend, PretrainedBackend)
+
     def test_detect_backend_by_pretrained_suffix_not_supported(self) -> None:
         with self.assertRaises(ValueError):
             Backend.detect_backend_by_model("DPA-3.2-5M.pretrained")
@@ -35,6 +39,10 @@ def test_parse_pretrained_alias_plain_name(self) -> None:
         self.assertEqual(parse_pretrained_alias("DPA-3.2-5M"), "DPA-3.2-5M")
         self.assertEqual(parse_pretrained_alias("dpa-3.2-5m"), "DPA-3.2-5M")
 
+    def test_parse_pretrained_alias_new_model_name(self) -> None:
+        self.assertEqual(parse_pretrained_alias("DPA3-Omol-Large"), "DPA3-Omol-Large")
+        self.assertEqual(parse_pretrained_alias("dpa3-omol-large"), "DPA3-Omol-Large")
+
     def test_parse_pretrained_alias_invalid(self) -> None:
         with self.assertRaises(ValueError):
             parse_pretrained_alias("DPA-3.2-5M.pt")