diff --git a/vllm/model_executor/models/transformers/utils.py b/vllm/model_executor/models/transformers/utils.py
index e47f3bba5c..04d6de28ef 100644
--- a/vllm/model_executor/models/transformers/utils.py
+++ b/vllm/model_executor/models/transformers/utils.py
@@ -94,7 +94,15 @@ def init_on_device_without_buffers(device: torch.device):
             setattr(torch, torch_function_name, old_torch_function)
 
 
-Style = Literal["colwise", "colwise_rep", "rowwise", "rowwise_rep", "replicate"]
+Style = Literal[
+    "colwise",
+    "rowwise",
+    "replicate",
+    "colwise_gather_output",
+    "rowwise_split_input",
+    "colwise_rep",
+    "rowwise_rep",
+]
 
 
 def replace_linear_class(
@@ -120,10 +128,14 @@ def replace_linear_class(
 
     vllm_linear_cls, vllm_linear_kwargs = {
         "colwise": (ColumnParallelLinear, {}),
-        "colwise_rep": (ColumnParallelLinear, {"gather_output": True}),
         "rowwise": (RowParallelLinear, {}),
-        "rowwise_rep": (RowParallelLinear, {"input_is_parallel": False}),
         "replicate": (ReplicatedLinear, {}),
+        # Transformers v5
+        "colwise_gather_output": (ColumnParallelLinear, {"gather_output": True}),
+        "rowwise_split_input": (RowParallelLinear, {"input_is_parallel": False}),
+        # Transformers v4
+        "colwise_rep": (ColumnParallelLinear, {"gather_output": True}),
+        "rowwise_rep": (RowParallelLinear, {"input_is_parallel": False}),
     }.get(style, (ReplicatedLinear, {}))
 
     return vllm_linear_cls(