diff --git a/modelforge/potential/ani.py b/modelforge/potential/ani.py
index 32da49ae..67019c77 100644
--- a/modelforge/potential/ani.py
+++ b/modelforge/potential/ani.py
@@ -16,11 +16,6 @@
 from modelforge.utils.prop import SpeciesAEV
 
 
-# if TYPE_CHECKING:
-#     from modelforge.dataset.dataset import NNPInput
-#     from .models import PairListOutputs
-
-
 def triu_index(num_species: int) -> torch.Tensor:
     """
     Generate a tensor representing the upper triangular indices for species pairs.
@@ -110,7 +105,6 @@ def __init__(
         angle_sections: int,
         nr_of_supported_elements: int = 7,
     ):
-
         super().__init__()
         from modelforge.potential.utils import CosineAttenuationFunction
 
@@ -386,7 +380,6 @@ class ANIInteraction(nn.Module):
     """
 
     def __init__(self, *, aev_dim: int, activation_function: Type[torch.nn.Module]):
-
         super().__init__()
         # define atomic neural network
         atomic_neural_networks = self.intialize_atomic_neural_network(
@@ -677,7 +670,6 @@ def __init__(
         dataset_statistic: Optional[Dict[str, float]] = None,
         potential_seed: Optional[int] = None,
     ) -> None:
-
         from modelforge.utils.units import _convert_str_to_unit
 
         self.only_unique_pairs = True  # NOTE: need to be set before super().__init__
diff --git a/modelforge/potential/models.py b/modelforge/potential/models.py
index 27dcd4f2..dd6a5ae1 100644
--- a/modelforge/potential/models.py
+++ b/modelforge/potential/models.py
@@ -385,12 +385,6 @@ def forward(
             )
 
         return interacting_outputs
-        #
-        # return PairListOutputs(
-        #     pair_indices=pair_indices_within_cutoff,
-        #     d_ij=d_ij[in_cutoff],
-        #     r_ij=r_ij[in_cutoff],
-        # )
 
 
 from typing import Callable, Literal, Optional, Union