diff --git a/quantize.py b/quantize.py
index 0845a294f..dccf8b3d4 100644
--- a/quantize.py
+++ b/quantize.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-"""Script to execute quantization on a given model."""
+"""Script to execute the "quantize" script on a given set of models."""
 
 import subprocess
 import argparse
@@ -13,11 +13,11 @@ def main():
 
     parser = argparse.ArgumentParser(
         prog='Quantization Script',
-        description='This script quantizes a model or many models.'
+        description='This script quantizes the given models by applying the '
+        '"quantize" script on them.'
     )
     parser.add_argument(
-        "models", nargs='+', dest='models',
-        choices=('7B', '13B', '30B', '65B'),
+        "models", nargs='+', choices=('7B', '13B', '30B', '65B'),
         help='The models to quantize.'
     )
     parser.add_argument(
@@ -31,9 +31,10 @@ def main():
     )
     parser.add_argument(
         '-q', '--quantize-script-path', dest='quantize_script_path',
-        default=os.getcwd(),
+        default=os.path.join(os.getcwd(), "quantize"),
         help='Specify the path to the "quantize" script.'
     )
+
     # TODO: Revise this code
     # parser.add_argument(
     #     '-t', '--threads', dest='threads', type='int',
@@ -73,6 +74,7 @@ def main():
 
 # This was extracted to a top-level function for parallelization, if
 # implemented. See https://github.com/ggerganov/llama.cpp/pull/222/commits/f8db3d6cd91bf1a1342db9d29e3092bc12dd783c#r1140496406
+
 def __run_quantize_script(script_path, f16_model_path):
     """Run the quantize script specifying the path to it and the path to the
     f16 model to quantize.
@@ -90,8 +92,11 @@ if __name__ == "__main__":
         main()
 
     except subprocess.CalledProcessError:
-        print("An error ocurred while trying to quantize the models.")
+        print("\nAn error ocurred while trying to quantize the models.")
         sys.exit(1)
 
     except KeyboardInterrupt:
         sys.exit(0)
+
+    else:
+        print("\nSuccesfully quantized all models.")