forked from phoenix-oss/llama-stack-mirror
4d0bfbf984
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.
68 lines
2.3 KiB
Python
68 lines
2.3 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import argparse
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import os
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import shutil
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from llama_stack.cli.subcommand import Subcommand
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from llama_stack.distribution.utils.config_dirs import DEFAULT_CHECKPOINT_DIR
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from llama_stack.models.llama.sku_list import resolve_model
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class ModelRemove(Subcommand):
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"""Remove the downloaded llama model"""
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def __init__(self, subparsers: argparse._SubParsersAction):
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super().__init__()
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self.parser = subparsers.add_parser(
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"remove",
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prog="llama model remove",
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description="Remove the downloaded llama model",
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formatter_class=argparse.RawTextHelpFormatter,
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)
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self._add_arguments()
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self.parser.set_defaults(func=self._run_model_remove_cmd)
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def _add_arguments(self):
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self.parser.add_argument(
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"-m",
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"--model",
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required=True,
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help="Specify the llama downloaded model name, see `llama model list --downloaded`",
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)
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self.parser.add_argument(
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"-f",
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"--force",
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action="store_true",
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help="Used to forcefully remove the llama model from the storage without further confirmation",
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)
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def _run_model_remove_cmd(self, args: argparse.Namespace) -> None:
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from .safety_models import prompt_guard_model_sku_map
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prompt_guard_model_map = prompt_guard_model_sku_map()
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if args.model in prompt_guard_model_map.keys():
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model = prompt_guard_model_map[args.model]
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else:
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model = resolve_model(args.model)
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model_path = os.path.join(DEFAULT_CHECKPOINT_DIR, args.model.replace(":", "-"))
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if model is None or not os.path.isdir(model_path):
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print(f"'{args.model}' is not a valid llama model or does not exist.")
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return
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if args.force:
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shutil.rmtree(model_path)
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print(f"{args.model} removed.")
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else:
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if input(f"Are you sure you want to remove {args.model}? (y/n): ").strip().lower() == "y":
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shutil.rmtree(model_path)
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print(f"{args.model} removed.")
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else:
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print("Removal aborted.")
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