diff --git a/docs/source/package_reference/cli.mdx b/docs/source/package_reference/cli.mdx
index eafec816e..3d72aada6 100644
--- a/docs/source/package_reference/cli.mdx
+++ b/docs/source/package_reference/cli.mdx
@@ -46,7 +46,7 @@ Create a default config file for Accelerate with only a few flags set.
 **Usage**: 
 
 ```bash
-accelerate default-config [arguments]
+accelerate config default [arguments]
 ```
 
 **Optional Arguments**:
@@ -57,6 +57,28 @@ accelerate default-config [arguments]
 * `-h`, `--help` (`bool`) -- Show a help message and exit
 * `--mixed_precision {no,fp16,bf16}` (`str`) -- Whether or not to use mixed precision training. Choose between FP16 and BF16 (bfloat16) training. BF16 training is only supported on Nvidia Ampere GPUs and PyTorch 1.10 or later.
 
+## accelerate config update
+
+**Command**:
+
+`accelerate config update` or `accelerate-config update`
+
+Update an existing config file with the latest defaults while maintaining the old configuration.
+
+**Usage**: 
+
+```bash
+accelerate config update [arguments]
+```
+
+**Optional Arguments**:
+* `--config_file CONFIG_FILE` (`str`) -- The path to the config file to update. Will default to a file named default_config.yaml in the cache location, which is the content
+                        of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have such an environment variable, your cache directory
+                        (`~/.cache` or the content of `XDG_CACHE_HOME`) suffixed with `huggingface`.
+
+* `-h`, `--help` (`bool`) -- Show a help message and exit
+
+
 ## accelerate env
 
 **Command**:
diff --git a/src/accelerate/commands/config/__init__.py b/src/accelerate/commands/config/__init__.py
index ba9d6cf30..9b1545982 100644
--- a/src/accelerate/commands/config/__init__.py
+++ b/src/accelerate/commands/config/__init__.py
@@ -16,27 +16,22 @@
 
 import argparse
 
-from .config import config_command, config_command_parser
+from .config import config_command_parser
 from .config_args import default_config_file, load_config_from_file  # noqa: F401
-from .default import default_command_parser, default_config_command
-
-
-def filter_command_args(args: dict, args_prefix: str):
-    "Filters args while only keeping ones that are prefixed with `{args_prefix}.`"
-    new_args = argparse.Namespace()
-    for key, value in vars(args).items():
-        if key.startswith(args_prefix):
-            setattr(new_args, key.replace(f"{args_prefix}.", ""), value)
-    return new_args
+from .default import default_command_parser
+from .update import update_command_parser
 
 
 def get_config_parser(subparsers=None):
     parent_parser = argparse.ArgumentParser(add_help=False)
     # The main config parser
     config_parser = config_command_parser(subparsers)
+    # The subparser to add commands to
+    subcommands = config_parser.add_subparsers(title="subcommands", dest="subcommand")
 
     # Then add other parsers with the parent parser
-    default_parser = default_command_parser(config_parser, parents=[parent_parser])  # noqa: F841
+    default_command_parser(subcommands, parents=[parent_parser])
+    update_command_parser(subcommands, parents=[parent_parser])
 
     return config_parser
 
@@ -44,12 +39,13 @@ def get_config_parser(subparsers=None):
 def main():
     config_parser = get_config_parser()
     args = config_parser.parse_args()
-    if not args.default:
-        args = filter_command_args(args, "config_args")
-        config_command(args)
-    elif args.default:
-        args = filter_command_args(args, "default_args")
-        default_config_command(args)
+
+    if not hasattr(args, "func"):
+        config_parser.print_help()
+        exit(1)
+
+    # Run
+    args.func(args)
 
 
 if __name__ == "__main__":
diff --git a/src/accelerate/commands/config/config.py b/src/accelerate/commands/config/config.py
index b504f07ad..72414f2ab 100644
--- a/src/accelerate/commands/config/config.py
+++ b/src/accelerate/commands/config/config.py
@@ -21,13 +21,7 @@
 
 from .cluster import get_cluster_input
 from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file  # noqa: F401
-from .config_utils import (  # noqa: F401
-    GroupedAction,
-    SubcommandHelpFormatter,
-    _ask_field,
-    _ask_options,
-    _convert_compute_environment,
-)
+from .config_utils import _ask_field, _ask_options, _convert_compute_environment  # noqa: F401
 from .sagemaker import get_sagemaker_input
 
 
@@ -49,18 +43,13 @@ def get_user_input():
 
 def config_command_parser(subparsers=None):
     if subparsers is not None:
-        parser = subparsers.add_parser("config", description=description, formatter_class=SubcommandHelpFormatter)
+        parser = subparsers.add_parser("config", description=description)
     else:
-        parser = argparse.ArgumentParser(
-            "Accelerate config command", description=description, formatter_class=SubcommandHelpFormatter
-        )
+        parser = argparse.ArgumentParser("Accelerate config command", description=description)
 
     parser.add_argument(
         "--config_file",
         default=None,
-        dest="config_args.config_file",
-        metavar="CONFIG_FILE",
-        action=GroupedAction,
         help=(
             "The path to use to store the config file. Will default to a file named default_config.yaml in the cache "
             "location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have "
@@ -87,6 +76,7 @@ def config_command(args):
         config.to_json_file(config_file)
     else:
         config.to_yaml_file(config_file)
+    print(f"accelerate configuration saved at {config_file}")
 
 
 def main():
diff --git a/src/accelerate/commands/config/config_utils.py b/src/accelerate/commands/config/config_utils.py
index 1deee9f32..736c3a3d5 100644
--- a/src/accelerate/commands/config/config_utils.py
+++ b/src/accelerate/commands/config/config_utils.py
@@ -88,29 +88,11 @@ def _convert_yes_no_to_bool(value):
     return {"yes": True, "no": False}[value.lower()]
 
 
-class GroupedAction(argparse.Action):
-    """
-    Filters arguments into seperate namespace groups based on the first part of the argument name.
-    """
-
-    def __call__(self, parser, namespace, values, option_string=None):
-        group, dest = self.dest.split(".", 2)
-        groupspace = getattr(namespace, group, argparse.Namespace())
-        setattr(groupspace, dest, values)
-        setattr(namespace, group, groupspace)
-
-
 class SubcommandHelpFormatter(argparse.RawDescriptionHelpFormatter):
     """
     A custom formatter that will remove the usage line from the help message for subcommands.
     """
 
-    def _format_action(self, action):
-        parts = super()._format_action(action)
-        if action.nargs == argparse.PARSER:
-            parts = "\n".join(parts.split("\n")[1:])
-        return parts
-
     def _format_usage(self, usage, actions, groups, prefix):
         usage = super()._format_usage(usage, actions, groups, prefix)
         usage = usage.replace("<command> [<args>] ", "")
diff --git a/src/accelerate/commands/config/default.py b/src/accelerate/commands/config/default.py
index b87a1d45b..f7ceb84ce 100644
--- a/src/accelerate/commands/config/default.py
+++ b/src/accelerate/commands/config/default.py
@@ -14,13 +14,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import argparse
 from pathlib import Path
 
 import torch
 
 from .config_args import ClusterConfig, default_json_config_file
-from .config_utils import GroupedAction
+from .config_utils import SubcommandHelpFormatter
+
+
+description = "Create a default config file for Accelerate with only a few flags set."
 
 
 def write_basic_config(mixed_precision="no", save_location: str = default_json_config_file, dynamo_backend="no"):
@@ -42,7 +44,7 @@ def write_basic_config(mixed_precision="no", save_location: str = default_json_c
         print(
             f"Configuration already exists at {save_location}, will not override. Run `accelerate config` manually or pass a different `save_location`."
         )
-        return
+        return False
     mixed_precision = mixed_precision.lower()
     if mixed_precision not in ["no", "fp16", "bf16"]:
         raise ValueError(f"`mixed_precision` should be one of 'no', 'fp16', or 'bf16'. Received {mixed_precision}")
@@ -64,20 +66,13 @@ def write_basic_config(mixed_precision="no", save_location: str = default_json_c
         config["use_cpu"] = True
         config["num_processes"] = 1
         config["distributed_type"] = "NO"
-    if not path.exists():
-        config = ClusterConfig(**config)
-        config.to_json_file(path)
+    config = ClusterConfig(**config)
+    config.to_json_file(path)
+    return path
 
 
-description = "Create a default config file for Accelerate with only a few flags set."
-
-
-def default_command_parser(parser=None, parents=None):
-    if parser is None and parents is None:
-        parser = argparse.ArgumentParser(description=description)
-    else:
-        default_parser = parser.add_subparsers(title="subcommand {default}", dest="default", description=description)
-        parser = default_parser.add_parser("default", parents=parents)
+def default_command_parser(parser, parents):
+    parser = parser.add_parser("default", parents=parents, help=description, formatter_class=SubcommandHelpFormatter)
     parser.add_argument(
         "--config_file",
         default=default_json_config_file,
@@ -87,9 +82,7 @@ def default_command_parser(parser=None, parents=None):
             "such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed "
             "with 'huggingface'."
         ),
-        dest="default_args.save_location",
-        metavar="CONFIG_FILE",
-        action=GroupedAction,
+        dest="save_location",
     )
 
     parser.add_argument(
@@ -100,14 +93,12 @@ def default_command_parser(parser=None, parents=None):
         "Choose between FP16 and BF16 (bfloat16) training. "
         "BF16 training is only supported on Nvidia Ampere GPUs and PyTorch 1.10 or later.",
         default="no",
-        dest="default_args.mixed_precision",
-        action=GroupedAction,
     )
     parser.set_defaults(func=default_config_command)
     return parser
 
 
 def default_config_command(args):
-    args = vars(args)
-    args.pop("func", None)
-    write_basic_config(**args)
+    config_file = write_basic_config(args.mixed_precision, args.save_location)
+    if config_file:
+        print(f"accelerate configuration saved at {config_file}")
diff --git a/src/accelerate/commands/config/update.py b/src/accelerate/commands/config/update.py
new file mode 100644
index 000000000..5f025594b
--- /dev/null
+++ b/src/accelerate/commands/config/update.py
@@ -0,0 +1,63 @@
+#!/usr/bin/env python
+
+# Copyright 2022 The HuggingFace Team. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from pathlib import Path
+
+from .config_args import default_config_file, load_config_from_file
+from .config_utils import SubcommandHelpFormatter
+
+
+description = "Update an existing config file with the latest defaults while maintaining the old configuration."
+
+
+def update_config(args):
+    """
+    Update an existing config file with the latest defaults while maintaining the old configuration.
+    """
+    config_file = args.config_file
+    if config_file is None and Path(default_config_file).exists():
+        config_file = default_config_file
+    elif not Path(config_file).exists():
+        raise ValueError(f"The passed config file located at {config_file} doesn't exist.")
+    config = load_config_from_file(config_file)
+
+    if config_file.endswith(".json"):
+        config.to_json_file(config_file)
+    else:
+        config.to_yaml_file(config_file)
+    return config_file
+
+
+def update_command_parser(parser, parents):
+    parser = parser.add_parser("update", parents=parents, help=description, formatter_class=SubcommandHelpFormatter)
+    parser.add_argument(
+        "--config_file",
+        default=None,
+        help=(
+            "The path to the config file to update. Will default to a file named default_config.yaml in the cache "
+            "location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have "
+            "such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed "
+            "with 'huggingface'."
+        ),
+    )
+
+    parser.set_defaults(func=update_config_command)
+    return parser
+
+
+def update_config_command(args):
+    config_file = update_config(args)
+    print(f"Sucessfully updated the configuration file at {config_file}.")



Discussion: body: _The documentation is not available anymore as the PR was closed or merged._
body: The DeepSpeed CI failures are unrelated and look like a startup issue