diff --git a/torchtune/_cli/download.py b/torchtune/_cli/download.py
index f8c8d1e81d..f22e16e3ee 100644
--- a/torchtune/_cli/download.py
+++ b/torchtune/_cli/download.py
@@ -207,13 +207,6 @@ def _download_from_kaggle(self, args: argparse.Namespace) -> None:
         try:
             output_dir = model_download(model_handle)
 
-            # save the repo_id. This is necessary because the download step is a separate command
-            # from the rest of the CLI. When saving a model adapter, we have to add the repo_id
-            # to the adapter config.
-            file_path = os.path.join(output_dir, REPO_ID_FNAME + ".json")
-            with open(file_path, "w") as json_file:
-                json.dump({"repo_id": args.repo_id}, json_file, indent=4)
-
             print(
                 "Successfully downloaded model repo and wrote to the following locations:",
                 *list(Path(output_dir).iterdir()),
diff --git a/torchtune/training/checkpointing/_checkpointer.py b/torchtune/training/checkpointing/_checkpointer.py
index 2e42433c69..48aa57e846 100644
--- a/torchtune/training/checkpointing/_checkpointer.py
+++ b/torchtune/training/checkpointing/_checkpointer.py
@@ -827,7 +827,7 @@ def save_checkpoint(
                 state_dict[
                     training.ADAPTER_CONFIG
                 ] = convert_weights.tune_to_peft_adapter_config(
-                    state_dict[training.ADAPTER_CONFIG],
+                    adapter_config=state_dict[training.ADAPTER_CONFIG],
                     base_model_name_or_path=self.repo_id,
                 )