diff --git a/vllm/model_executor/models/deepseek_v2.py b/vllm/model_executor/models/deepseek_v2.py
index 79ddd3d0f6276..68a0a83d6204c 100644
--- a/vllm/model_executor/models/deepseek_v2.py
+++ b/vllm/model_executor/models/deepseek_v2.py
@@ -830,20 +830,6 @@ class DeepseekV2ForCausalLM(nn.Module, SupportsPP, MixtureOfExperts):
                                        sampling_metadata)
         return logits
 
-    def make_empty_intermediate_tensors(
-            self, batch_size: int, dtype: torch.dtype,
-            device: torch.device) -> IntermediateTensors:
-        return IntermediateTensors({
-            "hidden_states":
-            torch.zeros((batch_size, self.config.hidden_size),
-                        dtype=dtype,
-                        device=device),
-            "residual":
-            torch.zeros((batch_size, self.config.hidden_size),
-                        dtype=dtype,
-                        device=device),
-        })
-
     def load_weights(self, weights: Iterable[tuple[str,
                                                    torch.Tensor]]) -> set[str]:
         stacked_params_mapping = [