diff --git a/vllm/model_executor/models/qwen2_5_vl.py b/vllm/model_executor/models/qwen2_5_vl.py
index e3fa9f67ca07..f62c7e1d2ee1 100644
--- a/vllm/model_executor/models/qwen2_5_vl.py
+++ b/vllm/model_executor/models/qwen2_5_vl.py
@@ -823,10 +823,15 @@ class Qwen2_5_VLForConditionalGeneration(nn.Module, SupportsMultiModal,
                                          SupportsLoRA, SupportsPP):
 
     # To ensure correct weight loading and mapping.
-    hf_to_vllm_mapper = WeightsMapper(orig_to_new_prefix={
-        "lm_head.": "language_model.lm_head.",
-        "model.": "language_model.model.",
-    })
+    hf_to_vllm_mapper = WeightsMapper(
+        orig_to_new_prefix={
+            # mapping for new names in checkpoint saved after transformers v4.52
+            "model.language_model.": "language_model.model.",
+            "model.visual.": "visual.",
+            # mapping for original checkpoint
+            "lm_head.": "language_model.lm_head.",
+            "model.": "language_model.model.",
+        })
 
     def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
         super().__init__()
diff --git a/vllm/model_executor/models/qwen2_vl.py b/vllm/model_executor/models/qwen2_vl.py
index 873baa56faf3..5c30e36c7ce3 100644
--- a/vllm/model_executor/models/qwen2_vl.py
+++ b/vllm/model_executor/models/qwen2_vl.py
@@ -1071,10 +1071,15 @@ class Qwen2VLForConditionalGeneration(nn.Module, SupportsMultiModal,
                                       SupportsLoRA, SupportsPP):
 
     # To ensure correct weight loading and mapping.
-    hf_to_vllm_mapper = WeightsMapper(orig_to_new_prefix={
-        "lm_head.": "language_model.lm_head.",
-        "model.": "language_model.model.",
-    })
+    hf_to_vllm_mapper = WeightsMapper(
+        orig_to_new_prefix={
+            # mapping for new names in checkpoint saved after transformers v4.52
+            "model.language_model.": "language_model.model.",
+            "model.visual.": "visual.",
+            # mapping for original checkpoint
+            "lm_head.": "language_model.lm_head.",
+            "model.": "language_model.model.",
+        })
 
     def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
         super().__init__()