diff --git a/gptqmodel/nn_modules/qlinear/bitblas.py b/gptqmodel/nn_modules/qlinear/bitblas.py
index 4e5535d5b..f8ea5e5b6 100644
--- a/gptqmodel/nn_modules/qlinear/bitblas.py
+++ b/gptqmodel/nn_modules/qlinear/bitblas.py
@@ -137,12 +137,10 @@ def __init__(
         self.reset_parameters()
 
     @classmethod
-    def validate(cls, bits: int, group_size: int, desc_act: bool, sym: bool, infeatures:int=None,
-                  outfeatures:int=None, dynamic:Optional[dict]=None, device:Optional[DEVICE]=None, trainable:Optional[bool]=None) -> Tuple[
-        bool, Optional[Exception]]:
+    def validate(cls, **args) -> Tuple[bool, Optional[Exception]]:
         if not BITBLAS_AVAILABLE:
             return False, ValueError(BITBLAS_INSTALL_HINT)
-        return cls._validate(bits=bits, group_size=group_size, desc_act=desc_act, sym=sym, dynamic=dynamic, device=device, trainable=trainable)
+        return cls._validate(**args)
 
     def _validate_parameters(
         self, group_size: int, infeatures: int, outfeatures: int
diff --git a/gptqmodel/nn_modules/qlinear/exllama.py b/gptqmodel/nn_modules/qlinear/exllama.py
index e55533503..fd2684de5 100644
--- a/gptqmodel/nn_modules/qlinear/exllama.py
+++ b/gptqmodel/nn_modules/qlinear/exllama.py
@@ -3,6 +3,7 @@
 
 import math
 from logging import getLogger
+from typing import Optional, Tuple
 
 import numpy as np
 import torch
@@ -112,6 +113,12 @@ def __init__(self, bits: int, group_size: int, desc_act: bool, sym: bool, infeat
         else:
             self.bias = None
 
+    @classmethod
+    def validate(cls, **args) -> Tuple[bool, Optional[Exception]]:
+        if exllama_import_exception is not None:
+            return False, exllama_import_exception
+        return cls._validate(**args)
+
     def post_init(self):
         self.validate_device(self.qweight.device.type)
         assert self.qweight.device.index is not None
diff --git a/gptqmodel/nn_modules/qlinear/exllamav2.py b/gptqmodel/nn_modules/qlinear/exllamav2.py
index 5d9f752f5..ac9425577 100644
--- a/gptqmodel/nn_modules/qlinear/exllamav2.py
+++ b/gptqmodel/nn_modules/qlinear/exllamav2.py
@@ -2,6 +2,7 @@
 # Adapted from turboderp exllama: https://github.com/turboderp/exllamav2
 
 import math
+from typing import Tuple, Optional
 
 import torch
 import torch.nn.functional as F
@@ -179,6 +180,12 @@ def __init__(self, bits: int, group_size: int, desc_act: bool, sym: bool, infeat
         else:
             self.bias = None
 
+    @classmethod
+    def validate(cls, **args) -> Tuple[bool, Optional[Exception]]:
+        if exllama_v2_import_exception is not None:
+            return False, exllama_v2_import_exception
+        return cls._validate(**args)
+
     def post_init(self, temp_dq):
         self.validate_device(self.qweight.device.type)
         assert self.qweight.device.index is not None
diff --git a/gptqmodel/nn_modules/qlinear/ipex.py b/gptqmodel/nn_modules/qlinear/ipex.py
index 009759e8e..16ef7a046 100644
--- a/gptqmodel/nn_modules/qlinear/ipex.py
+++ b/gptqmodel/nn_modules/qlinear/ipex.py
@@ -134,15 +134,13 @@ def __init__(
         self.wf = torch.tensor(list(range(0, 32, self.bits)), dtype=torch.int32).unsqueeze(0)
 
     @classmethod
-    def validate(cls, bits: int, group_size: int, desc_act: bool, sym: bool, infeatures:int=None,
-                  outfeatures:int=None, dynamic:Optional[dict]=None, device:Optional[DEVICE]=None, trainable:Optional[bool]=None) -> Tuple[
-        bool, Optional[Exception]]:
+    def validate(cls, **args) -> Tuple[bool, Optional[Exception]]:
         if sys.platform != "linux":
             return False, Exception("IPEX is only available on Linux platform.")
 
         if not HAS_IPEX:
             return False, IPEX_ERROR_LOG
-        return cls._validate(bits=bits, group_size=group_size, desc_act=desc_act, sym=sym, dynamic=dynamic, device=device, trainable=trainable)
+        return cls._validate(**args)
 
     def post_init(self):
         self.validate_device(self.qweight.device.type)
diff --git a/gptqmodel/nn_modules/qlinear/marlin.py b/gptqmodel/nn_modules/qlinear/marlin.py
index 7866a084f..71765f8ab 100644
--- a/gptqmodel/nn_modules/qlinear/marlin.py
+++ b/gptqmodel/nn_modules/qlinear/marlin.py
@@ -284,6 +284,12 @@ def __init__(self, bits: int, group_size: int, desc_act: bool, sym: bool, infeat
         else:
             self.bias = None
 
+    @classmethod
+    def validate(cls, **args) -> Tuple[bool, Optional[Exception]]:
+        if marlin_import_exception is not None:
+            return False, marlin_import_exception
+        return cls._validate(**args)
+
     def post_init(self):
         device = self.qweight.device
         self.validate_device(device.type)
diff --git a/gptqmodel/nn_modules/qlinear/tritonv2.py b/gptqmodel/nn_modules/qlinear/tritonv2.py
index 00715c1d7..70c99ddbe 100644
--- a/gptqmodel/nn_modules/qlinear/tritonv2.py
+++ b/gptqmodel/nn_modules/qlinear/tritonv2.py
@@ -99,12 +99,10 @@ def __init__(self, bits: int, group_size: int, desc_act: bool, sym: bool, infeat
             self.bias = None
 
     @classmethod
-    def validate(cls, bits: int, group_size: int, desc_act: bool, sym: bool, infeatures:int=None,
-                  outfeatures:int=None, dynamic:Optional[dict]=None, device:Optional[DEVICE]=None, trainable:Optional[bool]=None) -> Tuple[
-        bool, Optional[Exception]]:
+    def validate(cls, **args) -> Tuple[bool, Optional[Exception]]:
         if not TRITON_AVAILABLE:
             return False, ValueError(TRITON_INSTALL_HINT)
-        return cls._validate(bits=bits, group_size=group_size, desc_act=desc_act, sym=sym, dynamic=dynamic, device=device, trainable=trainable)
+        return cls._validate(**args)
 
     def post_init(self):
         self.validate_device(self.qweight.device.type)
diff --git a/setup.py b/setup.py
index 0a8ab3edd..dd54dc13d 100644
--- a/setup.py
+++ b/setup.py
@@ -174,40 +174,47 @@ def get_version_tag(is_cuda_release: bool = True) -> str:
             extra_link_args=extra_link_args,
             extra_compile_args=extra_compile_args,
         ),
-        cpp_ext.CUDAExtension(
-            "gptqmodel_marlin_kernels",
-            [
-                "gptqmodel_ext/marlin/marlin_cuda.cpp",
-                "gptqmodel_ext/marlin/marlin_cuda_kernel.cu",
-                "gptqmodel_ext/marlin/marlin_repack.cu",
-            ],
-            extra_link_args=extra_link_args,
-            extra_compile_args=extra_compile_args,
-        ),
-        cpp_ext.CUDAExtension(
-            "gptqmodel_exllama_kernels",
-            [
-                "gptqmodel_ext/exllama/exllama_ext.cpp",
-                "gptqmodel_ext/exllama/cuda_buffers.cu",
-                "gptqmodel_ext/exllama/cuda_func/column_remap.cu",
-                "gptqmodel_ext/exllama/cuda_func/q4_matmul.cu",
-                "gptqmodel_ext/exllama/cuda_func/q4_matrix.cu",
-            ],
-            extra_link_args=extra_link_args,
-            extra_compile_args=extra_compile_args,
-        ),
-        cpp_ext.CUDAExtension(
-            "gptqmodel_exllamav2_kernels",
-            [
-                "gptqmodel_ext/exllamav2/ext.cpp",
-                "gptqmodel_ext/exllamav2/cuda/q_matrix.cu",
-                "gptqmodel_ext/exllamav2/cuda/q_gemm.cu",
-            ],
-            extra_link_args=extra_link_args,
-            extra_compile_args=extra_compile_args,
-        )
     ]
 
+    if sys.platform != "win32":
+        extensions += [
+            # TODO: VC++: fatal error C1061: compiler limit : blocks nested too deeply
+            cpp_ext.CUDAExtension(
+                "gptqmodel_marlin_kernels",
+                [
+                    "gptqmodel_ext/marlin/marlin_cuda.cpp",
+                    "gptqmodel_ext/marlin/marlin_cuda_kernel.cu",
+                    "gptqmodel_ext/marlin/marlin_repack.cu",
+                ],
+                extra_link_args=extra_link_args,
+                extra_compile_args=extra_compile_args,
+            ),
+            # TODO: VC++: error lnk2001 unresolved external symbol cublasHgemm
+            cpp_ext.CUDAExtension(
+                "gptqmodel_exllama_kernels",
+                [
+                    "gptqmodel_ext/exllama/exllama_ext.cpp",
+                    "gptqmodel_ext/exllama/cuda_buffers.cu",
+                    "gptqmodel_ext/exllama/cuda_func/column_remap.cu",
+                    "gptqmodel_ext/exllama/cuda_func/q4_matmul.cu",
+                    "gptqmodel_ext/exllama/cuda_func/q4_matrix.cu",
+                ],
+                extra_link_args=extra_link_args,
+                extra_compile_args=extra_compile_args,
+            ),
+            # TODO: VC++: error lnk2001 unresolved external symbol cublasHgemm
+            cpp_ext.CUDAExtension(
+                "gptqmodel_exllamav2_kernels",
+                [
+                    "gptqmodel_ext/exllamav2/ext.cpp",
+                    "gptqmodel_ext/exllamav2/cuda/q_matrix.cu",
+                    "gptqmodel_ext/exllamav2/cuda/q_gemm.cu",
+                ],
+                extra_link_args=extra_link_args,
+                extra_compile_args=extra_compile_args,
+            )
+        ]
+
     additional_setup_kwargs = {"ext_modules": extensions, "cmdclass": {"build_ext": cpp_ext.BuildExtension}}