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