diff --git a/examples/models/llama/export_llama_lib.py b/examples/models/llama/export_llama_lib.py
index 6d8ba54c010..b1cfb058882 100644
--- a/examples/models/llama/export_llama_lib.py
+++ b/examples/models/llama/export_llama_lib.py
@@ -874,6 +874,7 @@ def _to_edge_and_lower_llama_xnnpack(
     xnnpack_extended_ops: bool = False,
     generate_etrecord: bool = False,
     verbose: bool = False,
+    gen_tag_fn: Optional[Callable[[torch.fx.Node], Optional[str]]] = None,
 ) -> LLMEdgeManager:  # noqa: C901
     partitioners = []
 
@@ -896,9 +897,27 @@ def _to_edge_and_lower_llama_xnnpack(
     if generate_etrecord:
         builder_exported.generate_etrecord = True
 
-    builder = builder_exported.pt2e_quantize(quantizers).to_edge_transform_and_lower(
-        partitioners
-    )
+    builder = builder_exported.pt2e_quantize(quantizers)
+    if gen_tag_fn is not None:
+        from executorch.exir.passes.external_constants_pass import (
+            delegate_external_constants_pass_unlifted,
+            external_constants_pass,
+        )
+
+        assert (
+            builder_exported.pre_autograd_graph_module is not None
+        ), "pre_autograd_graph_module shouldn't be None here"
+        delegate_external_constants_pass_unlifted(
+            module=builder_exported.pre_autograd_graph_module,
+            gen_tag_fn=gen_tag_fn,
+        )
+
+        # Also add a pass for 'to_executorch' to tag weights that aren't delegated.
+        additional_passes.append(
+            partial(external_constants_pass, gen_tag_fn=gen_tag_fn)
+        )
+
+    builder = builder.to_edge_transform_and_lower(partitioners)
     if verbose:
         print_delegation_info(builder.edge_manager.exported_program().graph_module)
 
@@ -1136,6 +1155,7 @@ def _export_llama(llm_config: LlmConfig) -> LLMEdgeManager:  # noqa: C901
         llm_config.backend.xnnpack.enabled = True
 
     if llm_config.backend.xnnpack.enabled:
+        gen_tag_fn = None
         if (
             llm_config.export.foundation_weights_file is not None
             or llm_config.export.lora_weights_file is not None
@@ -1145,24 +1165,6 @@ def _export_llama(llm_config: LlmConfig) -> LLMEdgeManager:  # noqa: C901
                 if "lora" not in x.name
                 else llm_config.export.lora_weights_file
             )
-            from executorch.exir.passes.external_constants_pass import (
-                delegate_external_constants_pass_unlifted,
-                external_constants_pass,
-            )
-
-            assert (
-                builder_exported.pre_autograd_graph_module is not None
-            ), "pre_autograd_graph_module shouldn't be None here"
-            delegate_external_constants_pass_unlifted(
-                module=builder_exported.pre_autograd_graph_module,
-                gen_tag_fn=gen_tag_fn,
-            )
-
-            # Also add a pass for 'to_executorch' to tag weights that aren't delegated.
-            additional_passes.append(
-                partial(external_constants_pass, gen_tag_fn=gen_tag_fn)
-            )
-
         builder = _to_edge_and_lower_llama_xnnpack(
             builder_exported,
             modelname,
@@ -1173,6 +1175,7 @@ def _export_llama(llm_config: LlmConfig) -> LLMEdgeManager:  # noqa: C901
             xnnpack_extended_ops=llm_config.backend.xnnpack.extended_ops,
             generate_etrecord=llm_config.debug.generate_etrecord,
             verbose=llm_config.debug.verbose,
+            gen_tag_fn=gen_tag_fn,
         )
     elif llm_config.backend.openvino.enabled:
         builder = _to_edge_and_lower_llama_openvino(