diff --git a/vllm/lora/utils.py b/vllm/lora/utils.py
index 349e66ae1..510be672c 100644
--- a/vllm/lora/utils.py
+++ b/vllm/lora/utils.py
@@ -9,6 +9,7 @@ from huggingface_hub.utils import HfHubHTTPError, HFValidationError
 from torch import nn
 from transformers import PretrainedConfig
 
+from vllm import envs
 from vllm.config.lora import LoRAConfig
 from vllm.logger import init_logger
 
@@ -235,13 +236,27 @@ def get_adapter_absolute_path(lora_path: str) -> str:
     if os.path.exists(lora_path):
         return os.path.abspath(lora_path)
 
-    # If the path does not exist locally, assume it's a Hugging Face repo.
+    # If the path does not exist locally.
+    if envs.VLLM_USE_MODELSCOPE:
+        # If using ModelScope, we assume the path is a ModelScope repo.
+        from modelscope.hub.snapshot_download import InvalidParameter, snapshot_download
+        from requests import HTTPError
+
+        download_fn = lambda: snapshot_download(model_id=lora_path)
+        download_exceptions = (HTTPError, InvalidParameter)
+        error_log = "Error downloading the ModelScope model"
+    else:
+        # Otherwise, we assume the path is a Hugging Face Hub repo.
+        download_fn = lambda: huggingface_hub.snapshot_download(repo_id=lora_path)
+        download_exceptions = (HfHubHTTPError, HFValidationError)
+        error_log = "Error downloading the HuggingFace model"
+
     try:
-        local_snapshot_path = huggingface_hub.snapshot_download(repo_id=lora_path)
-    except (HfHubHTTPError, HFValidationError):
-        # Handle errors that may occur during the download
-        # Return original path instead of throwing error here
-        logger.exception("Error downloading the HuggingFace model")
+        local_snapshot_path = download_fn()
+    except download_exceptions:
+        # Handle errors that may occur during the download.
+        # Return original path instead of throwing error here.
+        logger.exception(error_log)
         return lora_path
 
     return local_snapshot_path