Add llama model download alias for llama download

llama_toolchain/cli/download.py

@@ -30,46 +30,47 @@ class Download(Subcommand):
             description="Download a model from llama.meta.comf or HuggingFace hub",
             formatter_class=argparse.RawTextHelpFormatter,
         )
-        self._add_arguments()
-        self.parser.set_defaults(func=partial(run_download_cmd, parser=self.parser))
+        setup_download_parser(self.parser)
 
-    def _add_arguments(self):
-        from llama_models.sku_list import all_registered_models
 
-        models = all_registered_models()
-        self.parser.add_argument(
-            "--source",
-            choices=["meta", "huggingface"],
-            required=True,
-        )
-        self.parser.add_argument(
-            "--model-id",
-            choices=[x.descriptor() for x in models],
-            required=True,
-        )
-        self.parser.add_argument(
-            "--hf-token",
-            type=str,
-            required=False,
-            default=None,
-            help="Hugging Face API token. Needed for gated models like llama2/3. Will also try to read environment variable `HF_TOKEN` as default.",
-        )
-        self.parser.add_argument(
-            "--meta-url",
-            type=str,
-            required=False,
-            help="For source=meta, URL obtained from llama.meta.com after accepting license terms",
-        )
-        self.parser.add_argument(
-            "--ignore-patterns",
-            type=str,
-            required=False,
-            default="*.safetensors",
-            help="""
+def setup_download_parser(parser: argparse.ArgumentParser) -> None:
+    from llama_models.sku_list import all_registered_models
+
+    models = all_registered_models()
+    parser.add_argument(
+        "--source",
+        choices=["meta", "huggingface"],
+        required=True,
+    )
+    parser.add_argument(
+        "--model-id",
+        choices=[x.descriptor() for x in models],
+        required=True,
+    )
+    parser.add_argument(
+        "--hf-token",
+        type=str,
+        required=False,
+        default=None,
+        help="Hugging Face API token. Needed for gated models like llama2/3. Will also try to read environment variable `HF_TOKEN` as default.",
+    )
+    parser.add_argument(
+        "--meta-url",
+        type=str,
+        required=False,
+        help="For source=meta, URL obtained from llama.meta.com after accepting license terms",
+    )
+    parser.add_argument(
+        "--ignore-patterns",
+        type=str,
+        required=False,
+        default="*.safetensors",
+        help="""
 For source=huggingface, files matching any of the patterns are not downloaded. Defaults to ignoring
 safetensors files to avoid downloading duplicate weights.
 """,
-        )
+    )
+    parser.set_defaults(func=partial(run_download_cmd, parser=parser))
 
 
 def _hf_download(

llama_toolchain/cli/model/download.py

@@ -0,0 +1,24 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+import argparse
+
+from llama_toolchain.cli.subcommand import Subcommand
+
+
+class ModelDownload(Subcommand):
+    def __init__(self, subparsers: argparse._SubParsersAction):
+        super().__init__()
+        self.parser = subparsers.add_parser(
+            "download",
+            prog="llama model download",
+            description="Download a model from llama.meta.comf or HuggingFace hub",
+            formatter_class=argparse.RawTextHelpFormatter,
+        )
+
+        from llama_toolchain.cli.download import setup_download_parser
+
+        setup_download_parser(self.parser)

llama_toolchain/cli/model/model.py

@@ -5,9 +5,9 @@
 # the root directory of this source tree.
 
 import argparse
-import textwrap
 
 from llama_toolchain.cli.model.describe import ModelDescribe
+from llama_toolchain.cli.model.download import ModelDownload
 from llama_toolchain.cli.model.list import ModelList
 from llama_toolchain.cli.model.template import ModelTemplate
 
@@ -22,18 +22,13 @@ class ModelParser(Subcommand):
         self.parser = subparsers.add_parser(
             "model",
             prog="llama model",
-            description="Describe llama model interfaces",
-            epilog=textwrap.dedent(
-                """
-                Example:
-                    llama model <subcommand> <options>
-                """
-            ),
+            description="Work with llama models",
         )
 
         subparsers = self.parser.add_subparsers(title="model_subcommands")
 
-        # Add sub-commandsa
-        ModelTemplate.create(subparsers)
+        # Add sub-commands
+        ModelDownload.create(subparsers)
         ModelList.create(subparsers)
+        ModelTemplate.create(subparsers)
         ModelDescribe.create(subparsers)