llama-stack-mirror/llama_stack/cli/model/remove.py
Ashwin Bharambe 4d0bfbf984
feat: add api.llama provider, llama-guard-4 model (#2058)
This PR adds a llama-stack inference provider for `api.llama.com`, as
well as adds entries for Llama-Guard-4 and updated Prompt-Guard models.
2025-04-29 10:07:41 -07:00

68 lines
2.3 KiB
Python

# 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
import os
import shutil
from llama_stack.cli.subcommand import Subcommand
from llama_stack.distribution.utils.config_dirs import DEFAULT_CHECKPOINT_DIR
from llama_stack.models.llama.sku_list import resolve_model
class ModelRemove(Subcommand):
"""Remove the downloaded llama model"""
def __init__(self, subparsers: argparse._SubParsersAction):
super().__init__()
self.parser = subparsers.add_parser(
"remove",
prog="llama model remove",
description="Remove the downloaded llama model",
formatter_class=argparse.RawTextHelpFormatter,
)
self._add_arguments()
self.parser.set_defaults(func=self._run_model_remove_cmd)
def _add_arguments(self):
self.parser.add_argument(
"-m",
"--model",
required=True,
help="Specify the llama downloaded model name, see `llama model list --downloaded`",
)
self.parser.add_argument(
"-f",
"--force",
action="store_true",
help="Used to forcefully remove the llama model from the storage without further confirmation",
)
def _run_model_remove_cmd(self, args: argparse.Namespace) -> None:
from .safety_models import prompt_guard_model_sku_map
prompt_guard_model_map = prompt_guard_model_sku_map()
if args.model in prompt_guard_model_map.keys():
model = prompt_guard_model_map[args.model]
else:
model = resolve_model(args.model)
model_path = os.path.join(DEFAULT_CHECKPOINT_DIR, args.model.replace(":", "-"))
if model is None or not os.path.isdir(model_path):
print(f"'{args.model}' is not a valid llama model or does not exist.")
return
if args.force:
shutil.rmtree(model_path)
print(f"{args.model} removed.")
else:
if input(f"Are you sure you want to remove {args.model}? (y/n): ").strip().lower() == "y":
shutil.rmtree(model_path)
print(f"{args.model} removed.")
else:
print("Removal aborted.")