diff --git a/ultralytics/models/yolo/model.py b/ultralytics/models/yolo/model.py
index 0b49d672..d54fedc9 100644
--- a/ultralytics/models/yolo/model.py
+++ b/ultralytics/models/yolo/model.py
@@ -15,7 +15,7 @@ class YOLO(Model):
         """Initialize YOLO model, switching to YOLOWorld if model filename contains '-world'."""
         path = Path(model)
         if "-world" in path.stem and path.suffix in {".pt", ".yaml", ".yml"}:  # if YOLOWorld PyTorch model
-            new_instance = YOLOWorld(path)
+            new_instance = YOLOWorld(path, verbose=verbose)
             self.__class__ = type(new_instance)
             self.__dict__ = new_instance.__dict__
         else:
@@ -62,14 +62,14 @@ class YOLO(Model):
 class YOLOWorld(Model):
     """YOLO-World object detection model."""
 
-    def __init__(self, model="yolov8s-world.pt") -> None:
+    def __init__(self, model="yolov8s-world.pt", verbose=False) -> None:
         """
         Initializes the YOLOv8-World model with the given pre-trained model file. Supports *.pt and *.yaml formats.
 
         Args:
             model (str | Path): Path to the pre-trained model. Defaults to 'yolov8s-world.pt'.
         """
-        super().__init__(model=model, task="detect")
+        super().__init__(model=model, task="detect", verbose=verbose)
 
         # Assign default COCO class names when there are no custom names
         if not hasattr(self.model, "names"):