diff --git a/modules/models.py b/modules/models.py
index ccb97da..c9f0358 100644
--- a/modules/models.py
+++ b/modules/models.py
@@ -44,7 +44,7 @@ def load_model(model_name):
     shared.is_RWKV = model_name.lower().startswith('rwkv-')
 
     # Default settings
-    if not any([shared.args.cpu, shared.args.load_in_8bit, shared.args.gptq_bits, shared.args.auto_devices, shared.args.disk, shared.args.gpu_memory is not None, shared.args.cpu_memory is not None, shared.args.deepspeed, shared.args.flexgen, shared.is_RWKV]):
+    if not any([shared.args.cpu, shared.args.load_in_8bit, shared.args.wbits, shared.args.auto_devices, shared.args.disk, shared.args.gpu_memory is not None, shared.args.cpu_memory is not None, shared.args.deepspeed, shared.args.flexgen, shared.is_RWKV]):
         if any(size in shared.model_name.lower() for size in ('13b', '20b', '30b')):
             model = AutoModelForCausalLM.from_pretrained(Path(f"models/{shared.model_name}"), device_map='auto', load_in_8bit=True)
         else:
@@ -95,7 +95,7 @@ def load_model(model_name):
         return model, tokenizer
 
     # Quantized model
-    elif shared.args.gptq_bits > 0:
+    elif shared.args.wbits > 0:
         from modules.GPTQ_loader import load_quantized
 
         model = load_quantized(model_name)