diff --git a/scripts/quantize_nvfp4.py b/scripts/quantize_nvfp4.py
index 23034b6..e386f20 100644
--- a/scripts/quantize_nvfp4.py
+++ b/scripts/quantize_nvfp4.py
@@ -48,23 +48,9 @@ CALIB_SAVE_PATH = "/root/nvidia-meeting/v4_nvfp4_calibrated_state.pt"
 def apply_patches():
     """Apply runtime patches for V4 compatibility."""
 
-    from modelopt.torch.quantization.nn.modules import quant_module, tensor_quantizer as tq_module
+    from modelopt.torch.quantization.nn.modules import tensor_quantizer as tq_module
 
-    # 1. Patch quant_module.py for V4's ModuleList expert quantizers
-    orig_iter = quant_module._QuantFusedExperts.iter_weights_for_calibration
-
-    def patched_iter_weights_for_calibration(self, **kwargs):
-        """Handle V4's nn.ModuleList expert quantizers (vs singular TensorQuantizer)."""
-        for name, quantizer in self.named_modules():
-            if not isinstance(quantizer, quant_module.TensorQuantizer):
-                continue
-            if quantizer.is_enabled:
-                yield name, quantizer
-
-    quant_module._QuantFusedExperts.iter_weights_for_calibration = patched_iter_weights_for_calibration
-    print("✓ Patched _QuantFusedExperts.iter_weights_for_calibration for V4 ModuleList")
-
-    # 2. Patch TensorQuantizer.export_amax to move _amax to CPU before reading
+    # 1. Patch TensorQuantizer.export_amax to move _amax to CPU before reading
     orig_export_amax = tq_module.TensorQuantizer.export_amax
 
     def patched_export_amax(self):
@@ -77,7 +63,7 @@ def apply_patches():
     tq_module.TensorQuantizer.export_amax = patched_export_amax
     print("✓ Patched TensorQuantizer.export_amax (CPU safety)")
 
-    # 3. Patch NVFP4QTensor.get_activation_scaling_factor for graceful degradation
+    # 2. Patch NVFP4QTensor.get_activation_scaling_factor for graceful degradation
     from modelopt.torch.quantization.qtensor import nvfp4_tensor
 
     orig_get_asf = nvfp4_tensor.NVFP4QTensor.get_activation_scaling_factor