diff --git a/examples/low_level_api/quantize.py b/examples/low_level_api/quantize.py
index 8bd03f8..cdb038a 100644
--- a/examples/low_level_api/quantize.py
+++ b/examples/low_level_api/quantize.py
@@ -4,14 +4,16 @@ import llama_cpp
 
 
 def main(args):
+    fname_inp = args.fname_inp.encode("utf-8")
+    fname_out = args.fname_out.encode("utf-8")
     if not os.path.exists(fname_inp):
         raise RuntimeError(f"Input file does not exist ({fname_inp})")
     if os.path.exists(fname_out):
         raise RuntimeError(f"Output file already exists ({fname_out})")
-    fname_inp = args.fname_inp.encode("utf-8")
-    fname_out = args.fname_out.encode("utf-8")
-    itype = args.itype
-    return_code = llama_cpp.llama_model_quantize(fname_inp, fname_out, itype)
+    ftype = args.type
+    args = llama_cpp.llama_model_quantize_default_params()
+    args.ftype = ftype
+    return_code = llama_cpp.llama_model_quantize(fname_inp, fname_out, args)
     if return_code != 0:
         raise RuntimeError("Failed to quantize model")
 
@@ -20,6 +22,7 @@ if __name__ == "__main__":
     parser = argparse.ArgumentParser()
     parser.add_argument("fname_inp", type=str, help="Path to input model")
     parser.add_argument("fname_out", type=str, help="Path to output model")
-    parser.add_argument("type", type=int, help="Type of quantization (2: q4_0, 3: q4_1)")
+    parser.add_argument("type", type=int, help="Type of quantization (2: q4_0, 3: q4_1), see llama_cpp.py for enum")
     args = parser.parse_args()
     main(args)
+