[model] add MOSS-VL support (#10708)

tests/data/test_moss_vl_training_configs.py

@@ -0,0 +1,39 @@
+# Copyright 2025 the LlamaFactory team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from pathlib import Path
+
+import yaml
+
+
+ROOT = Path(__file__).resolve().parents[2]
+
+
+def test_moss_vl_training_configs_are_unpacked_and_additive():
+    lora = yaml.safe_load((ROOT / "examples/train_lora/mossvl_lora_sft.yaml").read_text())
+    full = yaml.safe_load((ROOT / "examples/train_full/mossvl_full_sft.yaml").read_text())
+
+    assert lora["template"] == full["template"] == "moss_vl"
+    assert lora["packing"] is full["packing"] is False
+    assert lora["per_device_train_batch_size"] == 2
+    assert full["per_device_train_batch_size"] == 1
+    assert full["use_reentrant_gc"] is False
+    assert full["gradient_checkpointing"] is True
+    assert full["gradient_checkpointing_kwargs"] == {"use_reentrant": False}
+    for config in (lora, full):
+        assert config["model_name_or_path"] == "OpenMOSS-Team/MOSS-VL-Instruct-0708"
+        assert not any("/inspire/" in str(value) or "/tmp/" in str(value) for value in config.values())
+        assert config["freeze_vision_tower"] is True
+        assert config["freeze_multi_modal_projector"] is True
+        assert config["freeze_language_model"] is False