diff --git a/whisper/README.md b/whisper/README.md
index 9f1d777a..50fc0764 100644
--- a/whisper/README.md
+++ b/whisper/README.md
@@ -19,14 +19,15 @@ Install [`ffmpeg`](https://ffmpeg.org/):
 brew install ffmpeg
 ```
 
-Next, download the Whisper PyTorch checkpoint and convert the weights to MLX format:
+Next, download the Whisper PyTorch checkpoint and convert the weights to the MLX format. For example, to convert the `tiny` model use:
 
 ```
-# Take the "tiny" model as an example. Note that you can also convert a local PyTorch checkpoint in OpenAI's format.
 python convert.py --torch-name-or-path tiny --mlx-path mlx_models/tiny
 ```
 
-To generate a 4-bit quantized model, use ``-q`` for a full list of options:
+Note you can also convert a local PyTorch checkpoint which is in the original OpenAI format.
+
+To generate a 4-bit quantized model, use `-q`. For a full list of options:
 
 ```
 python convert.py --help
diff --git a/whisper/convert.py b/whisper/convert.py
index 3ec9323c..48cbebc5 100644
--- a/whisper/convert.py
+++ b/whisper/convert.py
@@ -113,7 +113,7 @@ def load_torch_model(
     Parameters
     ----------
     name_or_path : str
-        one of the official model names listed by `whisper.available_models()` or a local Pytorch checkpoint in OpenAI's format
+        one of the official model names listed by `whisper.available_models()` or a local Pytorch checkpoint which is in the original OpenAI format
     download_root: str
         path to download the model files; by default, it uses "~/.cache/whisper"