diff --git a/tools/pot/openvino/tools/pot/api/samples/classification/README.md b/tools/pot/openvino/tools/pot/api/samples/classification/README.md
index ff330fa2d37..089b1af5bef 100644
--- a/tools/pot/openvino/tools/pot/api/samples/classification/README.md
+++ b/tools/pot/openvino/tools/pot/api/samples/classification/README.md
@@ -32,7 +32,7 @@ How to Run the Example
 
    .. code-block:: sh
 
-      python3 ./classification_example.py -m <PATH_TO_IR_XML> -a <IMAGENET_ANNOTATION_FILE> -d <IMAGES_DIR>
+      python3 ./classification_sample.py -m <PATH_TO_IR_XML> -a <IMAGENET_ANNOTATION_FILE> -d <IMAGES_DIR>
 
    Optional: you can specify .bin file of IR directly using the ``-w``, ``--weights`` options.
 
diff --git a/tools/pot/openvino/tools/pot/api/samples/classification/classification_sample.py b/tools/pot/openvino/tools/pot/api/samples/classification/classification_sample.py
index 33582386737..f37448f2c48 100644
--- a/tools/pot/openvino/tools/pot/api/samples/classification/classification_sample.py
+++ b/tools/pot/openvino/tools/pot/api/samples/classification/classification_sample.py
@@ -210,10 +210,9 @@ def optimize_model(args):
     # Step 6: Execute the pipeline.
     compressed_model = pipeline.run(model)
 
-    # Step 7 (Optional): Compress model weights quantized precision
-    #                    in order to reduce the size of final .bin file.
-    if not args.keep_uncompressed_weights:
-        compress_model_weights(compressed_model)
+    # Step 7: Compress model weights quantized precision
+    #         in order to reduce the size of final .bin file.
+    compress_model_weights(compressed_model)
 
     return compressed_model, pipeline