diff --git a/invokeai/backend/model_management/models/lora.py b/invokeai/backend/model_management/models/lora.py
index b6f321d60b..6ececa7df1 100644
--- a/invokeai/backend/model_management/models/lora.py
+++ b/invokeai/backend/model_management/models/lora.py
@@ -440,33 +440,19 @@ class IA3Layer(LoRALayerBase):
 class LoRAModelRaw:  # (torch.nn.Module):
     _name: str
     layers: Dict[str, LoRALayer]
-    _device: torch.device
-    _dtype: torch.dtype
 
     def __init__(
         self,
         name: str,
         layers: Dict[str, LoRALayer],
-        device: torch.device,
-        dtype: torch.dtype,
     ):
         self._name = name
-        self._device = device or torch.cpu
-        self._dtype = dtype or torch.float32
         self.layers = layers
 
     @property
     def name(self):
         return self._name
 
-    @property
-    def device(self):
-        return self._device
-
-    @property
-    def dtype(self):
-        return self._dtype
-
     def to(
         self,
         device: Optional[torch.device] = None,
@@ -475,8 +461,6 @@ class LoRAModelRaw:  # (torch.nn.Module):
         # TODO: try revert if exception?
         for key, layer in self.layers.items():
             layer.to(device=device, dtype=dtype)
-        self._device = device
-        self._dtype = dtype
 
     def calc_size(self) -> int:
         model_size = 0
@@ -557,8 +541,6 @@ class LoRAModelRaw:  # (torch.nn.Module):
             file_path = Path(file_path)
 
         model = cls(
-            device=device,
-            dtype=dtype,
             name=file_path.stem,  # TODO:
             layers=dict(),
         )