diff --git a/vllm/worker/habana_model_runner.py b/vllm/worker/habana_model_runner.py
index 0796da6dc1959..bc1ed7b31d538 100644
--- a/vllm/worker/habana_model_runner.py
+++ b/vllm/worker/habana_model_runner.py
@@ -1340,7 +1340,13 @@ def warmup_scenario(self,
             profiler.start()
         for _ in range(times):
             inputs = self.prepare_model_input(seqs)
-            self.execute_model(inputs, kv_caches, warmup_mode=True)
+            intermediate_tensors = None
+            if not get_pp_group().is_first_rank:
+                intermediate_tensors = self.model.make_empty_intermediate_tensors(
+                    batch_size=batch_size,
+                    dtype=self.model_config.dtype,
+                    device=self.device)
+            self.execute_model(inputs, kv_caches, intermediate_tensors=intermediate_tensors, warmup_mode=True)
             torch.hpu.synchronize()
             if profiler:
                 profiler.step()
@@ -1813,12 +1819,6 @@ def execute_model(
         use_graphs = self._use_graphs(batch_size, seq_len, is_prompt)
         self._check_config(batch_size, seq_len, is_prompt, warmup_mode)
 
-        if not get_pp_group().is_first_rank:
-            intermediate_tensors = self.model.make_empty_intermediate_tensors(
-                batch_size=batch_size,
-                dtype=self.model_config.dtype,
-                device=self.device)
-
         execute_model_kwargs = {
             "input_ids": input_tokens,
             "positions": input_positions,