diff --git a/tests/quantization/test_auto_round.py b/tests/quantization/test_auto_round.py
index 838ca44956..eef3a91de5 100644
--- a/tests/quantization/test_auto_round.py
+++ b/tests/quantization/test_auto_round.py
@@ -496,7 +496,7 @@ def test_qwen3_1p7b_mxfp4_autoround_uses_mxfp4_linear_scheme(
     monkeypatch.setattr(
         "vllm.model_executor.layers.quantization.inc.schemes."
         "inc_mxfp4_linear.init_mxfp4_linear_kernel",
-        lambda: DummyKernel(),
+        lambda **kwargs: DummyKernel(),
     )
 
     from vllm.model_executor.layers.quantization.inc.schemes.inc_mxfp4_linear import (  # noqa: E501
@@ -614,7 +614,7 @@ def test_inc_mxfp4_linear_method_registers_and_processes_weights(
     monkeypatch.setattr(
         "vllm.model_executor.layers.quantization.inc.schemes."
         "inc_mxfp4_linear.init_mxfp4_linear_kernel",
-        lambda: DummyKernel(),
+        lambda **kwargs: DummyKernel(),
     )
     monkeypatch.setattr(
         "vllm.model_executor.parameter.get_tensor_model_parallel_rank",
diff --git a/vllm/model_executor/layers/quantization/inc/schemes/inc_mxfp4_linear.py b/vllm/model_executor/layers/quantization/inc/schemes/inc_mxfp4_linear.py
index 8fbbc65a0b..04b3cd65cf 100644
--- a/vllm/model_executor/layers/quantization/inc/schemes/inc_mxfp4_linear.py
+++ b/vllm/model_executor/layers/quantization/inc/schemes/inc_mxfp4_linear.py
@@ -7,6 +7,7 @@ import torch
 from torch.nn.parameter import Parameter
 
 from vllm.model_executor.kernels.linear import init_mxfp4_linear_kernel
+from vllm.model_executor.layers.quantization.utils.quant_utils import kMxfp4Dynamic
 from vllm.model_executor.parameter import (
     GroupQuantScaleParameter,
     ModelWeightParameter,
@@ -29,7 +30,7 @@ class INCMxfp4LinearMethod(INCLinearScheme):
 
     def __init__(self, layer_config: "INCLayerConfig") -> None:
         self.group_size = layer_config.group_size or 32
-        self.kernel = init_mxfp4_linear_kernel()
+        self.kernel = init_mxfp4_linear_kernel(activation_quant_key=kMxfp4Dynamic)
 
     @classmethod
     def get_min_capability(cls) -> int: