diff --git a/examples/python/run_llama_batched_vllm.py b/examples/python/run_llama_batched_vllm.py
index dc30a0cfa3..5cb7f52ae6 100644
--- a/examples/python/run_llama_batched_vllm.py
+++ b/examples/python/run_llama_batched_vllm.py
@@ -120,7 +120,7 @@ class SequenceGenerationResponse:
 @dataclass
 class EvalQueryRequest:
     request_id: int
-    past_token_ids: List[int]
+    num_past_tokens: int
     query_token_ids: List[int]
 
 
@@ -262,11 +262,11 @@ def _prepare_eval_queries(
     positions = []
     permute_map = []
 
-    query_offset = sum([len(request.past_token_ids) for request in requests])
+    query_offset = sum([request.num_past_tokens for request in requests])
     past_offset = 0
 
     for request in requests:
-        num_past_tokens = len(request.past_token_ids)
+        num_past_tokens = request.num_past_tokens
         num_queries = len(request.query_token_ids)
         query_lens.append(num_queries)
         request_id = request.request_id
@@ -521,8 +521,8 @@ def run(args):
 
     for request_id, query_token_len in zip(request_ids, query_token_lens):
         queries_to_eval = requests[request_id].token_ids[-query_token_len:]
-        past_tokens = requests[request_id].token_ids[:-query_token_len]
-        eval_query_requests.append(EvalQueryRequest(request_id, past_tokens, queries_to_eval))
+        num_past = len(requests[request_id].token_ids) - query_token_len
+        eval_query_requests.append(EvalQueryRequest(request_id, num_past, queries_to_eval))
 
     (
         input_ids,