diff --git a/python/pyproject.toml b/python/pyproject.toml
index 379a4c9ac..f1fcc4679 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -27,7 +27,7 @@ runtime_common = [
 ]
 srt = [
     "sglang[runtime_common]", "cuda-python",
-    "sgl-kernel>=0.0.2.post14", "torch", "vllm>=0.6.3.post1,<=0.6.4.post1",
+    "sgl-kernel>=0.0.2.post14", "torch", "vllm==0.6.4.post1",
     "flashinfer==0.1.6"
 ]
 
diff --git a/python/sglang/srt/layers/rotary_embedding.py b/python/sglang/srt/layers/rotary_embedding.py
index bc38fa8c0..964152905 100644
--- a/python/sglang/srt/layers/rotary_embedding.py
+++ b/python/sglang/srt/layers/rotary_embedding.py
@@ -8,6 +8,8 @@ import torch
 import torch.nn as nn
 from vllm.model_executor.custom_op import CustomOp
 
+from sglang.srt.layers.custom_op_util import register_custom_op
+
 
 def _rotate_neox(x: torch.Tensor) -> torch.Tensor:
     x1 = x[..., : x.shape[-1] // 2]
@@ -51,7 +53,7 @@ def _apply_rotary_emb(
         return torch.stack((o1, o2), dim=-1).flatten(-2)
 
 
-@CustomOp.register("rotary_embedding")
+@register_custom_op("sglang_rotary_embedding")
 class RotaryEmbedding(CustomOp):
     """Original rotary positional embedding."""