diff --git a/src/brevitas/core/function_wrapper/learned_round.py b/src/brevitas/core/function_wrapper/learned_round.py
index cfc78d03f..07f5f5d0f 100644
--- a/src/brevitas/core/function_wrapper/learned_round.py
+++ b/src/brevitas/core/function_wrapper/learned_round.py
@@ -65,7 +65,8 @@ def round_forward(self, x: torch.Tensor, p: torch.Tensor) -> torch.Tensor:
         return floor_ste(x) + p
 
 
-class LearnedRoundIdentity(brevitas.jit.ScriptModule):
+# TODO: Restore JIT compatibility
+class LearnedRoundIdentity(torch.nn.Module):
     """
     Implementation for LearnedRound learned parameter
     Adapted from https://arxiv.org/abs/2309.05516
@@ -75,14 +76,12 @@ def __init__(self) -> None:
         super(LearnedRoundIdentity, self).__init__()
         self.tensor_clamp = TensorClampSte()
 
-    @brevitas.jit.script_method
     def forward(self, p: torch.Tensor) -> torch.Tensor:
         return self.tensor_clamp(
             p,
             min_val=torch.tensor(-0.5, device=p.device),
             max_val=torch.tensor(+0.5, device=p.device))
 
-    @brevitas.jit.script_method
     def round_forward(self, x: torch.Tensor, p: torch.Tensor) -> torch.Tensor:
         return round_ste(x + p)