llama-stack/llama_stack/cli/model/list.py
Reid 4e76d312fa
fix: modify the model id title for model list (#1095)
# What does this PR do?
[Provide a short summary of what this PR does and why. Link to relevant
issues if applicable.]

Re-check and based on the doc, the download model id, actually is model
descriptor(also without `meta-llama/`).


https://llama-stack.readthedocs.io/en/latest/references/llama_cli_reference/index.html
```
$ llama download --source huggingface --model-id  Llama-Guard-3-1B:int4 --hf-token xxx  # model descriptor
Fetching 8 files:   0%|                                                                                                                   | 0/8 [00:00<?, ?it/s]
LICENSE.txt: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 7.71k/7.71k [00:00<00:00, 10.5MB/s]

$ llama download --source huggingface --model-id  Llama-Guard-3-1B-INT4 --hf-token xxxx  # hugging face repo without meta-llama/
usage: llama download [-h] [--source {meta,huggingface}] [--model-id MODEL_ID] [--hf-token HF_TOKEN] [--meta-url META_URL] [--max-parallel MAX_PARALLEL]
                      [--ignore-patterns IGNORE_PATTERNS] [--manifest-file MANIFEST_FILE]
llama download: error: Model Llama-Guard-3-1B-INT4 not found <<<<---


$ llama download --source meta --model-id Llama-3.2-3B-Instruct-SpinQuant_INT4_EO8
usage: llama download [-h] [--source {meta,huggingface}] [--model-id MODEL_ID] [--hf-token HF_TOKEN] [--meta-url META_URL] [--max-parallel MAX_PARALLEL]
                      [--ignore-patterns IGNORE_PATTERNS] [--manifest-file MANIFEST_FILE]
llama download: error: Model Llama-3.2-3B-Instruct-SpinQuant_INT4_EO8 not found

$ llama download --source meta --model-id Llama3.2-3B-Instruct:int4-spinquant-eo8
Please provide the signed URL for model Llama3.2-3B-Instruct:int4-spinquant-eo8 you received via email after visiting https://www.llama.com/llama-downloads/ (e.g., https://llama3-1.llamameta.net/*?Policy...): ^CTraceback (most recent call last):

$ llama download --source meta --model-id meta-llama/Llama3.2-3B-Instruct:int4-spinquant-eo8
usage: llama download [-h] [--source {meta,huggingface}] [--model-id MODEL_ID] [--hf-token HF_TOKEN] [--meta-url META_URL]
                      [--max-parallel MAX_PARALLEL] [--ignore-patterns IGNORE_PATTERNS] [--manifest-file MANIFEST_FILE]
llama download: error: Model meta-llama/Llama3.2-3B-Instruct:int4-spinquant-eo8 not found
```

[//]: # (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>
2025-02-18 10:26:41 -08:00

61 lines
1.8 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
from llama_stack.cli.subcommand import Subcommand
from llama_stack.cli.table import print_table
from llama_stack.models.llama.sku_list import all_registered_models
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)",
)
def _run_model_list_cmd(self, args: argparse.Namespace) -> None:
from .safety_models import prompt_guard_model_sku
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,
)