diff --git a/setup.py b/setup.py
index 9afaa4b0..eb6d90cc 100644
--- a/setup.py
+++ b/setup.py
@@ -22,7 +22,7 @@ def _setup_packages() -> List:
     )
     
 def _setup_install_requires() -> List:
-    return ["torch>=1.7.0", "transformers<=4.40", "pydantic>=1.8.2,<2.0.0", "sparsezoo"]
+    return ["torch>=1.7.0", "transformers<=4.40", "pydantic>=1.8.2,<2.0.0", "sparsezoo-nightly"]
 
 def _setup_extras() -> Dict:
     return {"dev": ["black==22.12.0", "isort==5.8.0", "wheel>=0.36.2", "flake8>=3.8.3", "pytest>=6.0.0"]}
diff --git a/src/sparsetensors/compressors/base.py b/src/sparsetensors/compressors/base.py
index 7b013827..39f725e8 100644
--- a/src/sparsetensors/compressors/base.py
+++ b/src/sparsetensors/compressors/base.py
@@ -55,24 +55,6 @@ def decompress(self, model_path: str) -> Generator[Tuple[str, Tensor], None, Non
         """
         raise NotImplementedError()
 
-    @staticmethod
-    def replace_layer(param_name: str, data: Tensor, model: Module):
-        """
-        Overwrites a parameterized layer with a new tensor, maintaining the device of
-        the original parameter
-
-        :param param_name: name of parameterized layer to replace
-        :param data: tensor to insert into model
-        :param model: pytorch model to insert data into
-        """
-        model_device = operator.attrgetter(param_name)(model).device
-        new_param = Parameter(data.to(model_device))
-        # TODO: Two for loops?
-        for name, param in model.named_parameters():
-            if name == param_name:
-                param.data = new_param.data
-                return
-
     def overwrite_weights(self, model_path: str, model: Module):
         """
         Overwrites the weights in model with weights decompressed from model_path
@@ -82,5 +64,10 @@ def overwrite_weights(self, model_path: str, model: Module):
         """
         dense_gen = self.decompress(model_path)
         for name, data in tqdm(dense_gen, desc="Decompressing model"):
-            ModelCompressor.replace_layer(name, data, model)
+            # loading the decompressed weights into the model
+            model_device = operator.attrgetter(name)(model).device
+            data_new = Parameter(data.to(model_device))
+            data_old = operator.attrgetter(name)(model)
+            data_old.data = data_new.data
+
         setattr(model, SPARSITY_CONFIG_NAME, self.config)