diff --git a/server.py b/server.py
index b1f3d3a..e5c0e19 100644
--- a/server.py
+++ b/server.py
@@ -74,28 +74,21 @@ def load_model(model_name):
     # Custom
     else:
         settings = ["low_cpu_mem_usage=True"]
-        cuda = ""
         command = "AutoModelForCausalLM.from_pretrained"
 
         if args.cpu:
             settings.append("torch_dtype=torch.float32")
         else:
+            settings.append("device_map='auto'")
             if args.max_gpu_memory is not None:
                 settings.append(f"max_memory={{0: '{args.max_gpu_memory}GiB', 'cpu': '99GiB'}}")
-                settings.append("device_map='auto'")
-                settings.append("torch_dtype=torch.float16")
-            elif args.load_in_8bit:
-                settings.append("device_map='auto'")
+            if args.load_in_8bit:
                 settings.append("load_in_8bit=True")
             else:
                 settings.append("torch_dtype=torch.float16")
-                if args.auto_devices:
-                    settings.append("device_map='auto'")
-                else:
-                    cuda = ".cuda()"
 
         settings = ', '.join(list(set(settings)))
-        command = f"{command}(Path(f'models/{model_name}'), {settings}){cuda}"
+        command = f"{command}(Path(f'models/{model_name}'), {settings})"
         model = eval(command)
 
     # Loading the tokenizer