diff --git a/examples/quantization/quant_with_alpaca.py b/examples/quantization/quant_with_alpaca.py
index de7d8bc..603f171 100644
--- a/examples/quantization/quant_with_alpaca.py
+++ b/examples/quantization/quant_with_alpaca.py
@@ -77,6 +77,7 @@ def main():
     parser.add_argument("--quantized_model_dir", type=str, default=None)
     parser.add_argument("--bits", type=int, default=4, choices=[2, 3, 4, 8])
     parser.add_argument("--group_size", type=int, default=128)
+    parser.add_argument("--desc_act", action="store_true", help="whether to quantize with desc_act")
     parser.add_argument("--num_samples", type=int, default=128, help="how many samples will be used to quantize model")
     parser.add_argument("--save_and_reload", action="store_true", help="whether save quantized model to disk and reload back")
     parser.add_argument("--fast_tokenizer", action="store_true", help="whether use fast tokenizer")
@@ -104,7 +105,7 @@ def main():
     )
     model = AutoGPTQForCausalLM.from_pretrained(
         args.pretrained_model_dir,
-        quantize_config=BaseQuantizeConfig(bits=args.bits, group_size=args.group_size),
+        quantize_config=BaseQuantizeConfig(bits=args.bits, group_size=args.group_size, desc_act=args.desc_act),
         max_memory=max_memory
     )