forked from phoenix-oss/llama-stack-mirror
# What does this PR do?
[Provide a short summary of what this PR does and why. Link to relevant
issues if applicable.]
`llama model list` or `llama model list --show-all` will list more or
all for the models, so add the `search` option to simplify the output.
```
$ llama model list --help
usage: llama model list [-h] [--show-all] [-s SEARCH]
Show available llama models
options:
-h, --help show this help message and exit
--show-all Show all models (not just defaults)
-s SEARCH, --search SEARCH
Search for the input string as a substring in the model descriptor(ID)
$ llama model list -s 70b
+-----------------------+-----------------------------------+----------------+
| Model Descriptor(ID) | Hugging Face Repo | Context Length |
+-----------------------+-----------------------------------+----------------+
| Llama3.1-70B | meta-llama/Llama-3.1-70B | 128K |
+-----------------------+-----------------------------------+----------------+
| Llama3.1-70B-Instruct | meta-llama/Llama-3.1-70B-Instruct | 128K |
+-----------------------+-----------------------------------+----------------+
| Llama3.3-70B-Instruct | meta-llama/Llama-3.3-70B-Instruct | 128K |
+-----------------------+-----------------------------------+----------------+
$ llama model list -s 3.1-8b
+----------------------+----------------------------------+----------------+
| Model Descriptor(ID) | Hugging Face Repo | Context Length |
+----------------------+----------------------------------+----------------+
| Llama3.1-8B | meta-llama/Llama-3.1-8B | 128K |
+----------------------+----------------------------------+----------------+
| Llama3.1-8B-Instruct | meta-llama/Llama-3.1-8B-Instruct | 128K |
+----------------------+----------------------------------+----------------+
$ llama model list --show-all -s pro
+----------------------+-----------------------------+----------------+
| Model Descriptor(ID) | Hugging Face Repo | Context Length |
+----------------------+-----------------------------+----------------+
| Prompt-Guard-86M | meta-llama/Prompt-Guard-86M | 2K |
+----------------------+-----------------------------+----------------+
$ llama model list -s k
Not found for search.
```
[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])
## Test Plan
[Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.*]
[//]: # (## Documentation)
Signed-off-by: reidliu <reid201711@gmail.com>
Co-authored-by: reidliu <reid201711@gmail.com>
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_sku
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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_sku()]:
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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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