diff --git a/transformers_nodes.py b/transformers_nodes.py
index a3d58e2..2d555e2 100644
--- a/transformers_nodes.py
+++ b/transformers_nodes.py
@@ -65,7 +65,10 @@ class HFTLoadPipeline:
             model_kwargs["quantization_config"] = kwargs["quantization_config"]
             del kwargs["quantization_config"]
         if to_device:
+            print("TO ", to_device)
             kwargs["device"] = to_device
+        kwargs["dtype"] = kwargs["torch_dtype"]
+        del kwargs["torch_dtype"]
 
         if pipeline_class != "":
             kwargs["pipeline_class"] = getattr(transformers, pipeline_class)
diff --git a/util.py b/util.py
index 7b98bf2..dcc524b 100644
--- a/util.py
+++ b/util.py
@@ -30,7 +30,8 @@ if torch.cuda.is_available():
     DEVICES.append("cuda")
     for i in range(torch.cuda.device_count()):
         DEVICES.append(f"cuda:{i}")
-    DEFAULT_DEVICE = "cuda"
+    if torch.cuda.device_count() > 0:
+        DEFAULT_DEVICE = "cuda:0"
 DTYPES = ("default", "float32", "bfloat16", "float16", "bitsandbytes_8bit", "bitsandbytes_4bit")
 
 def get_device(device):
@@ -65,7 +66,7 @@ def apply_device(kwargs, device, dtype, enable_model_cpu_offload=False, quant="p
         if ":" in device:
             to_device = device
         else:
-            kwargs["device_map"] = get_device(device)
+            kwargs["device_map"] = device
     kwargs["torch_dtype"] = torch.bfloat16
 
     if dtype[0:13] == "bitsandbytes_":