diff --git a/examples/models/llama/export_llama_lib.py b/examples/models/llama/export_llama_lib.py
index e2d256ea396..940887e3f1f 100644
--- a/examples/models/llama/export_llama_lib.py
+++ b/examples/models/llama/export_llama_lib.py
@@ -794,10 +794,6 @@ def _prepare_for_llama_export(llm_config: LlmConfig) -> LLMEdgeManager:
         )
     )
 
-    # Now cast to the dtype override after quantization, so non-quantized
-    # components use the desired computation dtype.
-    edge_manager.model = edge_manager.model.to(dtype=dtype_override.to_torch_dtype())
-
     return edge_manager
 
 
@@ -1857,6 +1853,12 @@ def _get_source_transforms(  # noqa
             )
         )
 
+    # Cast to dtype_override after quantization transforms, so non-quantized
+    # components use the desired computation dtype. This must happen before
+    # _convert_model_for_aarch64 which converts IntxUnpackedToInt8Tensor to
+    # IntxOpaqueTensor (which doesn't support .to()).
+    transforms.append(lambda m: m.to(dtype=dtype_override.to_torch_dtype()))
+
     if any([use_torchao_kernels_linear, use_torchao_kernels_tied_embedding]):
         from torchao.prototype.tensor_conversion.api import _convert_model_for_aarch64