diff --git a/vllm/model_executor/layers/quantization/fp8.py b/vllm/model_executor/layers/quantization/fp8.py
index 800340ed6043c..ec3fc5ace17d8 100644
--- a/vllm/model_executor/layers/quantization/fp8.py
+++ b/vllm/model_executor/layers/quantization/fp8.py
@@ -8,6 +8,7 @@ from typing import TYPE_CHECKING, Any, Optional
 import torch
 from torch.nn import Module
 from torch.nn.parameter import Parameter
+from torch.utils._python_dispatch import TorchDispatchMode
 
 import vllm.envs as envs
 import vllm.model_executor.layers.fused_moe.modular_kernel as mk
@@ -363,6 +364,26 @@ class Fp8Config(QuantizationConfig):
         return None
 
 
+class CopyNumelCounter(TorchDispatchMode):
+    """
+    Tracks total number of elements modified with `copy_`. Useful for keeping
+    track of weight loading where underlying weights can be arbitrarily
+    transformed (such as with `narrow`) before calling copy.
+    """
+
+    def __init__(self):
+        super().__init__()
+        self.copied_numel = 0
+
+    def __torch_dispatch__(self, func, types, args=(), kwargs=None):
+        if kwargs is None:
+            kwargs = {}
+        out = func(*args, **kwargs)
+        if func == torch.ops.aten.copy_.default:
+            self.copied_numel += args[0].numel()
+        return out
+
+
 class Fp8LinearMethod(LinearMethodBase):
     """Linear method for FP8.
     Supports loading FP8 checkpoints with static weight scale and
@@ -469,13 +490,15 @@ class Fp8LinearMethod(LinearMethodBase):
         else:
 
             def patched_weight_loader(param, loaded_weight, *args, **kwargs):
-                # load the current weight chunk
-                res = weight_loader(param, loaded_weight, *args, **kwargs)  # type: ignore[misc]
-
                 # track how many elements we have updated
                 if not hasattr(layer, "_loaded_numel"):
                     layer._loaded_numel = 0
-                layer._loaded_numel += loaded_weight.numel()
+
+                # load the current weight chunk
+                copy_numel_counter = CopyNumelCounter()
+                with copy_numel_counter:
+                    res = weight_loader(param, loaded_weight, *args, **kwargs)  # type: ignore[misc]
+                layer._loaded_numel += copy_numel_counter.copied_numel
 
                 # if we have loaded all of the elements, call
                 # process_weights_after_loading
@@ -1348,13 +1371,15 @@ class Fp8OnlineMoEMethod(Fp8MoEMethod):
         new_extra_weight_attrs = extra_weight_attrs
 
         def patched_weight_loader(param, loaded_weight, *args, **kwargs):
-            # load the current weight chunk
-            res = weight_loader(param, loaded_weight, *args, **kwargs)  # type: ignore[misc]
-
             # add a counter to track how many elements we have updated
             if not hasattr(layer, "_loaded_numel"):
                 layer._loaded_numel = 0
-            layer._loaded_numel += loaded_weight.numel()
+
+            # load the current weight chunk
+            copy_numel_counter = CopyNumelCounter()
+            with copy_numel_counter:
+                res = weight_loader(param, loaded_weight, *args, **kwargs)  # type: ignore[misc]
+            layer._loaded_numel += copy_numel_counter.copied_numel
 
             # if we have loaded all of the elements, call
             # process_weights_after_loading