diff --git a/modelconverter/__main__.py b/modelconverter/__main__.py
index 3b945bd..a596240 100644
--- a/modelconverter/__main__.py
+++ b/modelconverter/__main__.py
@@ -10,7 +10,7 @@
 from luxonis_ml.nn_archive import ArchiveGenerator, is_nn_archive
 from luxonis_ml.nn_archive.config import Config as NNArchiveConfig
 from luxonis_ml.nn_archive.config_building_blocks import PreprocessingBlock
-from luxonis_ml.utils import reset_logging, setup_logging
+from luxonis_ml.utils import LuxonisFileSystem, reset_logging, setup_logging
 from typing_extensions import Annotated, TypeAlias
 
 from modelconverter.packages import (
@@ -20,6 +20,7 @@
 )
 from modelconverter.utils import (
     ModelconverterException,
+    archive_from_model,
     docker_build,
     docker_exec,
     in_docker,
@@ -38,6 +39,8 @@
 )
 from modelconverter.utils.types import Target
 
+logger = logging.getLogger(__name__)
+
 app = typer.Typer(
     help="Modelconverter CLI",
     add_completion=False,
@@ -145,7 +148,6 @@ def get_configs(
     @return: Tuple of the parsed modelconverter L{Config}, L{NNArchiveConfig} and the
         main stage key.
     """
-    logger = logging.getLogger(__name__)
 
     for p in [CONFIGS_DIR, MODELS_DIR, OUTPUTS_DIR, CALIBRATION_DIR]:
         logger.debug(f"Creating {p}")
@@ -252,6 +254,7 @@ def infer(
             mult_cfg, _, _ = get_configs(path, opts)
             cfg = mult_cfg.get_stage_config(stage)
             Inferer = get_inferer(target)
+            assert output_dir is not None
             Inferer.from_config(
                 model_path, input_path, Path(output_dir), cfg
             ).run()
@@ -506,6 +509,65 @@ def convert(
         docker_exec(target.value, *args, tag=tag, use_gpu=gpu)
 
 
+@app.command()
+def archive(
+    path: Annotated[
+        str, typer.Argument(help="Path or an URL of the model file.")
+    ],
+    save_path: Annotated[
+        Optional[str],
+        typer.Option(
+            "-s",
+            "--save-path",
+            help="Path or URL to save the archive to. "
+            "By default, it is saved to the current directory "
+            "under the name of the model.",
+        ),
+    ] = None,
+    put_file_plugin: Annotated[
+        Optional[str],
+        typer.Option(
+            help="The name of the plugin to use for uploading the file."
+        ),
+    ] = None,
+):
+    setup_logging(use_rich=True)
+    model_path = resolve_path(path, MODELS_DIR)
+    cfg = archive_from_model(model_path)
+    save_path = save_path or f"{cfg.model.metadata.name}.tar.xz"
+    if save_path.endswith("tar.xz"):
+        compression = "xz"
+    elif save_path.endswith("tar.gz"):
+        compression = "gz"
+    elif save_path.endswith("tar.bz2"):
+        compression = "bz2"
+    else:
+        compression = "xz"
+
+    if not save_path.endswith(f".tar.{compression}"):
+        save_path += f"/{cfg.model.metadata.name}.tar.{compression}"
+    archive_name = save_path.split("/")[-1]
+    protocol = LuxonisFileSystem.get_protocol(save_path)
+    if protocol != "file":
+        archive_save_path = "./"
+    else:
+        archive_save_path = str(Path(save_path).parent)
+    archive_save_path = ArchiveGenerator(
+        archive_name=archive_name,
+        save_path=archive_save_path,
+        compression=compression,
+        cfg_dict=cfg.model_dump(),
+        executables_paths=[str(model_path)],
+    ).make_archive()
+
+    if protocol != "file":
+        upload_file_to_remote(archive_save_path, save_path, put_file_plugin)
+        Path(archive_save_path).unlink()
+        logger.info(f"Archive uploaded to {save_path}")
+    else:
+        logger.info(f"Archive saved to {save_path}")
+
+
 def version_callback(value: bool):
     if value:
         typer.echo(f"ModelConverter Version: {version(__package__)}")
diff --git a/modelconverter/utils/__init__.py b/modelconverter/utils/__init__.py
index 549616f..5efd3ce 100644
--- a/modelconverter/utils/__init__.py
+++ b/modelconverter/utils/__init__.py
@@ -25,6 +25,7 @@
     get_archive_input,
     modelconverter_config_to_nn,
     process_nn_archive,
+    archive_from_model,
 )
 from .onnx_tools import onnx_attach_normalization_to_inputs
 from .subprocess import subprocess_run
@@ -55,4 +56,5 @@
     "make_default_layout",
     "Metadata",
     "get_metadata",
+    "archive_from_model"
 ]
diff --git a/modelconverter/utils/nn_archive.py b/modelconverter/utils/nn_archive.py
index 42e995d..c834965 100644
--- a/modelconverter/utils/nn_archive.py
+++ b/modelconverter/utils/nn_archive.py
@@ -218,3 +218,49 @@ def modelconverter_config_to_nn(
             f"{post_stage_key}{model_name.suffix}"
         )
     return archive
+
+
+def archive_from_model(model_path: Path) -> NNArchiveConfig:
+    metadata = get_metadata(model_path)
+
+    archive_cfg = {
+        "config_version": "1.0",
+        "model": {
+            "metadata": {
+                "name": model_path.stem,
+                "path": model_path.name,
+            },
+            "inputs": [],
+            "outputs": [],
+            "heads": [],
+        },
+    }
+
+    for name, shape in metadata.input_shapes.items():
+        archive_cfg["model"]["inputs"].append(
+            {
+                "name": name,
+                "shape": shape,
+                "layout": make_default_layout(shape),
+                "dtype": "float32",
+                "input_type": "image",
+                "preprocessing": {
+                    "mean": None,
+                    "scale": None,
+                    "reverse_channels": False,
+                    "interleaved_to_planar": False,
+                },
+            }
+        )
+
+    for name, shape in metadata.output_shapes.items():
+        archive_cfg["model"]["outputs"].append(
+            {
+                "name": name,
+                "shape": shape,
+                "layout": make_default_layout(shape),
+                "dtype": "float32",
+            }
+        )
+
+    return NNArchiveConfig(**archive_cfg)