diff --git a/model_compression_toolkit/gptq/pytorch/quantization_facade.py b/model_compression_toolkit/gptq/pytorch/quantization_facade.py
index c3f2f3f71..38b09aaa8 100644
--- a/model_compression_toolkit/gptq/pytorch/quantization_facade.py
+++ b/model_compression_toolkit/gptq/pytorch/quantization_facade.py
@@ -144,7 +144,7 @@ def pytorch_gradient_post_training_quantization(model: Module,
                                                     core_config: CoreConfig = CoreConfig(),
                                                     gptq_config: GradientPTQConfig = None,
                                                     gptq_representative_data_gen: Callable = None,
-                                                    target_platform_capabilities: TargetPlatformModel = None):
+                                                    target_platform_capabilities: TargetPlatformModel = DEFAULT_PYTORCH_TPC):
         """
         Quantize a trained Pytorch module using post-training quantization.
         By default, the module is quantized using a symmetric constraint quantization thresholds
diff --git a/model_compression_toolkit/target_platform_capabilities/target_platform/get_tpc_model.py b/model_compression_toolkit/target_platform_capabilities/target_platform/get_tpc_model.py
deleted file mode 100644
index b28b04f64..000000000
--- a/model_compression_toolkit/target_platform_capabilities/target_platform/get_tpc_model.py
+++ /dev/null
@@ -1,3 +0,0 @@
-
-
-
diff --git a/model_compression_toolkit/target_platform_capabilities/target_platform/targetplatform2framework/attach2fw.py b/model_compression_toolkit/target_platform_capabilities/target_platform/targetplatform2framework/attach2fw.py
index ff5e5c1ae..d9310b568 100644
--- a/model_compression_toolkit/target_platform_capabilities/target_platform/targetplatform2framework/attach2fw.py
+++ b/model_compression_toolkit/target_platform_capabilities/target_platform/targetplatform2framework/attach2fw.py
@@ -37,7 +37,6 @@ def attach(self, tpc_model: TargetPlatformModel,
         """
 
         tpc = TargetPlatformCapabilities(tpc_model)
-        # tpc_model_opsets = [opset.name for opset in tpc_model.operator_set if isinstance(opset, OperatorsSet)]
         custom_opset2layer = custom_opset2layer if custom_opset2layer is not None else {}
 
         with tpc: