diff --git a/vllm/model_executor/layers/rejection_sampler.py b/vllm/model_executor/layers/rejection_sampler.py
index 1a7d11d0d4bc..fe9b2fac1117 100644
--- a/vllm/model_executor/layers/rejection_sampler.py
+++ b/vllm/model_executor/layers/rejection_sampler.py
@@ -240,6 +240,7 @@ def _smallest_positive_value(self) -> float:
         """
         return torch.finfo(self.probs_dtype).tiny
 
+
 # torch.multinomial forces a GPU<->CPU sync.
 # Therefore, we use an optimized implementation instead that skips the sync.
 # Note that we always sample with replacement.