diff --git a/examples/model-conversion/scripts/causal/run-org-model.py b/examples/model-conversion/scripts/causal/run-org-model.py
index 78a54abf13..9444c713d0 100755
--- a/examples/model-conversion/scripts/causal/run-org-model.py
+++ b/examples/model-conversion/scripts/causal/run-org-model.py
@@ -193,7 +193,7 @@ print(f"Input text: {repr(prompt)}")
 print(f"Tokenized: {tokenizer.convert_ids_to_tokens(input_ids[0])}")
 
 with torch.no_grad():
-    outputs = model(input_ids)
+    outputs = model(input_ids.to(model.device))
     logits = outputs.logits
 
     # Extract logits for the last token (next token prediction)