Sync from v0.13

tests/lora/test_lora_huggingface.py

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+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+
+import pytest
+
+from vllm.lora.lora_model import LoRAModel
+from vllm.lora.peft_helper import PEFTHelper
+from vllm.lora.utils import get_adapter_absolute_path
+from vllm.model_executor.models.qwen3 import Qwen3ForCausalLM
+
+# Provide absolute path and huggingface lora ids
+lora_fixture_name = ["llama32_lora_files", "llama32_lora_huggingface_id"]
+LLAMA_LORA_MODULES = [
+    "qkv_proj",
+    "o_proj",
+    "gate_up_proj",
+    "down_proj",
+    "embed_tokens",
+    "lm_head",
+]
+
+
+@pytest.mark.parametrize("lora_fixture_name", lora_fixture_name)
+def test_load_checkpoints_from_huggingface(lora_fixture_name, request):
+    lora_name = request.getfixturevalue(lora_fixture_name)
+    packed_modules_mapping = Qwen3ForCausalLM.packed_modules_mapping
+
+    expected_lora_lst: list[str] = []
+    for module in LLAMA_LORA_MODULES:
+        if module in packed_modules_mapping:
+            expected_lora_lst.extend(packed_modules_mapping[module])
+        else:
+            expected_lora_lst.append(module)
+    expected_lora_modules = set(expected_lora_lst)
+    lora_path = get_adapter_absolute_path(lora_name)
+
+    # lora loading should work for either absolute path and huggingface id.
+    peft_helper = PEFTHelper.from_local_dir(lora_path, 4096)
+    lora_model = LoRAModel.from_local_checkpoint(
+        lora_path,
+        expected_lora_modules,
+        peft_helper=peft_helper,
+        lora_model_id=1,
+        device="cpu",
+    )
+
+    # Assertions to ensure the model is loaded correctly
+    assert lora_model is not None, "LoRAModel is not loaded correctly"