diff --git a/bench_vllm.py b/bench_vllm.py
index 6d1e269..483b311 100644
--- a/bench_vllm.py
+++ b/bench_vllm.py
@@ -44,24 +44,28 @@ def bench_prefill(llm, num_seqs, input_len):
 def main():
     import argparse
     parser = argparse.ArgumentParser(description="Benchmark vLLM performance (for comparison)")
+    parser.add_argument("--model", type=str, default="~/models/Llama-3.1-8B-Instruct",
+                        help="Model path (default: ~/models/Llama-3.1-8B-Instruct)")
     parser.add_argument("--input-len", type=int, default=None, help="Input length in tokens")
     parser.add_argument("--output-len", type=int, default=64, help="Output length for decode benchmark (default: 64)")
     parser.add_argument("--max-len", type=int, default=32*1024, help="Max model length (default: 32K)")
+    parser.add_argument("--gpu-util", type=float, default=0.9, help="GPU memory utilization (default: 0.9)")
+    parser.add_argument("--enforce-eager", action="store_true", help="Disable CUDA Graphs (use eager mode)")
     parser.add_argument("--bench-decode", action="store_true", help="Run decode benchmark (default: prefill only)")
     parser.add_argument("--bench-all", action="store_true", help="Run both prefill and decode benchmarks")
     args = parser.parse_args()
 
-    path = os.path.expanduser("~/models/Qwen3-4B-Instruct-2507/")
+    path = os.path.expanduser(args.model)
     max_len = args.max_len
 
-    print(f"\n[vLLM] max_len={max_len}")
+    print(f"\n[vLLM] max_len={max_len}, gpu_util={args.gpu_util}, enforce_eager={args.enforce_eager}")
 
     llm = LLM(
         path,
-        enforce_eager=False,
+        enforce_eager=args.enforce_eager,
         max_model_len=max_len,
         max_num_seqs=128,
-        gpu_memory_utilization=0.9,
+        gpu_memory_utilization=args.gpu_util,
     )
 
     # Warmup