mirror of
https://github.com/meta-llama/llama-stack.git
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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.
119 lines
3.6 KiB
Python
119 lines
3.6 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 time
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from pathlib import Path
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from llama_stack.cli.subcommand import Subcommand
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from llama_stack.cli.table import print_table
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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 all_registered_models
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def _get_model_size(model_dir):
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return sum(f.stat().st_size for f in Path(model_dir).rglob("*") if f.is_file())
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def _convert_to_model_descriptor(model):
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for m in all_registered_models():
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if model == m.descriptor().replace(":", "-"):
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return str(m.descriptor())
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return str(model)
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def _run_model_list_downloaded_cmd() -> None:
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headers = ["Model", "Size", "Modified Time"]
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rows = []
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for model in os.listdir(DEFAULT_CHECKPOINT_DIR):
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abs_path = os.path.join(DEFAULT_CHECKPOINT_DIR, model)
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space_usage = _get_model_size(abs_path)
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model_size = f"{space_usage / (1024**3):.2f} GB"
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modified_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(os.path.getmtime(abs_path)))
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rows.append(
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[
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_convert_to_model_descriptor(model),
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model_size,
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modified_time,
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]
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)
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print_table(
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rows,
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headers,
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separate_rows=True,
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)
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class ModelList(Subcommand):
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"""List available llama models"""
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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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"list",
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prog="llama model list",
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description="Show available llama models",
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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_list_cmd)
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def _add_arguments(self):
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self.parser.add_argument(
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"--show-all",
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action="store_true",
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help="Show all models (not just defaults)",
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)
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self.parser.add_argument(
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"--downloaded",
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action="store_true",
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help="List the downloaded models",
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)
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self.parser.add_argument(
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"-s",
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"--search",
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type=str,
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required=False,
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help="Search for the input string as a substring in the model descriptor(ID)",
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)
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def _run_model_list_cmd(self, args: argparse.Namespace) -> None:
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from .safety_models import prompt_guard_model_skus
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if args.downloaded:
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return _run_model_list_downloaded_cmd()
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headers = [
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"Model Descriptor(ID)",
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"Hugging Face Repo",
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"Context Length",
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]
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rows = []
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for model in all_registered_models() + prompt_guard_model_skus():
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if not args.show_all and not model.is_featured:
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continue
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descriptor = model.descriptor()
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if not args.search or args.search.lower() in descriptor.lower():
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rows.append(
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[
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descriptor,
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model.huggingface_repo,
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f"{model.max_seq_length // 1024}K",
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]
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)
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if len(rows) == 0:
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print(f"Did not find any model matching `{args.search}`.")
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else:
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print_table(
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rows,
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headers,
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separate_rows=True,
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)
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