diff --git a/python/sglang/srt/layers/activation.py b/python/sglang/srt/layers/activation.py
index 08ea91b9c..82c39c2ac 100644
--- a/python/sglang/srt/layers/activation.py
+++ b/python/sglang/srt/layers/activation.py
@@ -72,6 +72,15 @@ class GeluAndMul(CustomOp):
         return out
 
 
+class QuickGELU(CustomOp):
+    def forward_native(self, x: torch.Tensor) -> torch.Tensor:
+        return x * torch.sigmoid(1.702 * x)
+
+    def forward_cuda(self, x: torch.Tensor) -> torch.Tensor:
+        # TODO(zhyncs): Implement the CUDA kernel for QuickGELU in sgl-kernel
+        return self.forward_native(x)
+
+
 class ScaledActivation(nn.Module):
     """An activation function with post-scale parameters.
 
diff --git a/python/sglang/srt/models/qwen2_vl.py b/python/sglang/srt/models/qwen2_vl.py
index 365891544..adc505081 100644
--- a/python/sglang/srt/models/qwen2_vl.py
+++ b/python/sglang/srt/models/qwen2_vl.py
@@ -31,10 +31,10 @@ import torch
 import torch.nn as nn
 import torch.nn.functional as F
 from einops import rearrange
-from vllm.model_executor.layers.activation import QuickGELU
 
 from sglang.srt.configs import Qwen2VLConfig, Qwen2VLVisionConfig
 from sglang.srt.hf_transformers_utils import get_processor
+from sglang.srt.layers.activation import QuickGELU
 from sglang.srt.layers.attention.vision import VisionAttention
 from sglang.srt.layers.linear import ColumnParallelLinear, RowParallelLinear
 from sglang.srt.layers.logits_processor import LogitsProcessor