forked from phoenix-oss/llama-stack-mirror
60 lines
1.9 KiB
Python
60 lines
1.9 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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from llama_models.sku_list import all_registered_models
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from llama_toolchain.cli.subcommand import Subcommand
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from llama_toolchain.cli.table import print_table
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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('--show-all', action='store_true', help='Show all models (not just defaults)')
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def _run_model_list_cmd(self, args: argparse.Namespace) -> None:
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headers = [
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"Model Descriptor",
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"HuggingFace Repo",
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"Context Length",
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"Hardware Requirements",
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]
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rows = []
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for model in all_registered_models():
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if not args.show_all and not model.is_featured:
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continue
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req = model.hardware_requirements
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descriptor = model.descriptor()
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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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f"{req.gpu_count} GPU{'s' if req.gpu_count > 1 else ''}, each >= {req.memory_gb_per_gpu}GB VRAM",
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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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