diff --git a/backend/operations.py b/backend/operations.py
index 1ca15eba..1d79a4c3 100644
--- a/backend/operations.py
+++ b/backend/operations.py
@@ -4,7 +4,7 @@ import time
 import torch
 import contextlib
 
-from backend import stream, memory_management
+from backend import stream, memory_management, utils
 
 
 stash = {}
@@ -355,9 +355,9 @@ class ForgeOperationsGGUF(ForgeOperations):
 
         def _apply(self, fn, recurse=True):
             if self.weight is not None:
-                self.weight = fn(self.weight)
+                self.weight = utils.tensor2parameter(fn(self.weight))
             if self.bias is not None:
-                self.bias = fn(self.bias)
+                self.bias = utils.tensor2parameter(fn(self.bias))
             return self
 
         def forward(self, x):
diff --git a/backend/operations_bnb.py b/backend/operations_bnb.py
index 5a7089a9..654776ca 100644
--- a/backend/operations_bnb.py
+++ b/backend/operations_bnb.py
@@ -3,6 +3,7 @@
 import torch
 import bitsandbytes as bnb
 
+from backend import utils
 from bitsandbytes.nn.modules import Params4bit, QuantState
 from bitsandbytes.functional import dequantize_4bit
 
@@ -88,9 +89,9 @@ class ForgeLoader4Bit(torch.nn.Module):
 
     def _apply(self, fn, recurse=True):
         if self.weight is not None:
-            self.weight = fn(self.weight)
+            self.weight = utils.tensor2parameter(fn(self.weight))
         if self.bias is not None:
-            self.bias = torch.nn.Parameter(fn(self.bias), requires_grad=False)
+            self.bias = utils.tensor2parameter(fn(self.bias))
         return self
 
     def _save_to_state_dict(self, destination, prefix, keep_vars):
diff --git a/backend/operations_gguf.py b/backend/operations_gguf.py
index 9c54e090..922e4d33 100644
--- a/backend/operations_gguf.py
+++ b/backend/operations_gguf.py
@@ -64,6 +64,9 @@ def dequantize_tensor(tensor):
     if tensor is None:
         return None
 
+    if not hasattr(tensor, 'gguf_cls'):
+        return tensor
+
     data = torch.tensor(tensor.data)
     gguf_cls = tensor.gguf_cls
     gguf_real_shape = tensor.gguf_real_shape
diff --git a/backend/utils.py b/backend/utils.py
index 0a940af9..20f53ff7 100644
--- a/backend/utils.py
+++ b/backend/utils.py
@@ -93,6 +93,13 @@ def calculate_parameters(sd, prefix=""):
     return params
 
 
+def tensor2parameter(x):
+    if isinstance(x, torch.nn.Parameter):
+        return x
+    else:
+        return torch.nn.Parameter(x, requires_grad=False)
+
+
 def fp16_fix(x):
     # An interesting trick to avoid fp16 overflow
     # Source: https://github.com/lllyasviel/stable-diffusion-webui-forge/issues/1114