llama-stack-mirror/llama_stack/cli/model/list.py
Reid 9898589f12
fix: convert back to model descriptor for model in list --downloaded (#1201)
# What does this PR do?
[Provide a short summary of what this PR does and why. Link to relevant
issues if applicable.]

Currently , `model` in `--downloaded` just use the directory(already
replace `:`), so covert back to descriptor keep the same with ` llama
model list`, and remove command also use `descriptor`.
```
before:
$ llama model list --downloaded
+-------------------------------------+----------+---------------------+
| Model                               | Size     | Modified Time       |
+-------------------------------------+----------+---------------------+
| Llama3.2-1B-Instruct-int4-qlora-eo8 | 1.53 GB  | 2025-02-20 16:32:49 |
+-------------------------------------+----------+---------------------+

after:
$ llama model list --downloaded
+-------------------------------------+----------+---------------------+
| Model                               | Size     | Modified Time       |
+-------------------------------------+----------+---------------------+
| Llama3.2-1B-Instruct:int4-qlora-eo8 | 1.53 GB  | 2025-02-20 16:32:49 |
+-------------------------------------+----------+---------------------+
```

[//]: # (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>
2025-02-21 08:10:34 -08:00

108 lines
3.1 KiB
Python

# 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",
)
def _run_model_list_cmd(self, args: argparse.Namespace) -> None:
from .safety_models import prompt_guard_model_sku
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_sku()]:
if not args.show_all and not model.is_featured:
continue
descriptor = model.descriptor()
rows.append(
[
descriptor,
model.huggingface_repo,
f"{model.max_seq_length // 1024}K",
]
)
print_table(
rows,
headers,
separate_rows=True,
)