diff --git a/backends/qualcomm/quantizer/observers/per_channel_param_observer.py b/backends/qualcomm/quantizer/observers/per_channel_param_observer.py
index 0bba4d5ffeb..3c04e620308 100644
--- a/backends/qualcomm/quantizer/observers/per_channel_param_observer.py
+++ b/backends/qualcomm/quantizer/observers/per_channel_param_observer.py
@@ -109,6 +109,5 @@ def forward(self, x_orig):
             self.quant_max,
         )
 
-    @torch.jit.export
     def calculate_qparams(self):
         return self._calculate_qparams(self.min_val, self.max_val)
diff --git a/examples/cadence/models/rnnt_encoder.py b/examples/cadence/models/rnnt_encoder.py
index 641fa5e6121..d89f1ca42e7 100644
--- a/examples/cadence/models/rnnt_encoder.py
+++ b/examples/cadence/models/rnnt_encoder.py
@@ -103,7 +103,6 @@ def forward(
             layer_norm_out = self.layer_norm(output_linear_out)
             return layer_norm_out, transformer_lengths
 
-        @torch.jit.export
         def infer(
             self,
             input: torch.Tensor,
diff --git a/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py b/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py
index d06db2de434..b3594feff28 100644
--- a/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py
+++ b/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py
@@ -59,7 +59,6 @@ def __init__(
             "pixel_std", torch.Tensor(pixel_std).view(1, 3, 1, 1), False
         )
 
-    @torch.jit.export
     def predict_masks(
         self,
         image_embeddings: torch.Tensor,
@@ -174,7 +173,6 @@ def get_rescaled_pts(
             dim=-1,
         )
 
-    @torch.jit.export
     def get_image_embeddings(self, batched_images) -> torch.Tensor:
         """
         Predicts masks end-to-end from provided images and prompts.
diff --git a/examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py b/examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py
index d6ea4f5cc09..e49d3988d49 100644
--- a/examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py
+++ b/examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py
@@ -142,7 +142,6 @@ def forward(self, x):
         return x
 
 
-@torch.jit.export
 def get_abs_pos(
     abs_pos: torch.Tensor, has_cls_token: bool, hw: List[int]
 ) -> torch.Tensor: