diff --git a/tests/models/testing_utils/quantization.py b/tests/models/testing_utils/quantization.py
index 1aab0b240148..30d44a92c425 100644
--- a/tests/models/testing_utils/quantization.py
+++ b/tests/models/testing_utils/quantization.py
@@ -805,6 +805,10 @@ class TorchAoConfigMixin:
     @staticmethod
     def _get_quant_config(config_name):
         config_cls = getattr(_torchao_quantization, config_name)
+        # TorchAO int4 quantization requires plain_int32 packing format on Intel XPU
+        if config_name == "Int4WeightOnlyConfig" and torch_device == "xpu":
+            return TorchAoConfig(config_cls(int4_packing_format="plain_int32"))
+
         return TorchAoConfig(config_cls())
 
     def _create_quantized_model(self, config_name, **extra_kwargs):
@@ -819,8 +823,10 @@ def _verify_if_layer_quantized(self, name, module, config_kwargs):
         assert isinstance(module, torch.nn.Linear), f"Layer {name} is not Linear, got {type(module)}"
 
 
-# int4wo requires CUDA-specific ops (_convert_weight_to_int4pack)
-_int4wo_skip = pytest.mark.skipif(torch_device != "cuda", reason="int4wo quantization requires CUDA")
+# int4wo requires CUDA or XPU ops (_convert_weight_to_int4pack)
+_int4wo_skip = pytest.mark.skipif(
+    torch_device not in ["cuda", "xpu"], reason="int4wo quantization requires CUDA or XPU"
+)
 
 
 @is_torchao