mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-10-10 13:28:40 +00:00
ebae0385bb
Some checks failed
SqlStore Integration Tests / test-postgres (3.12) (push) Failing after 0s
SqlStore Integration Tests / test-postgres (3.13) (push) Failing after 0s
Integration Auth Tests / test-matrix (oauth2_token) (push) Failing after 1s
Test External Providers Installed via Module / test-external-providers-from-module (venv) (push) Has been skipped
Integration Tests (Replay) / Integration Tests (, , , client=, ) (push) Failing after 4s
Test Llama Stack Build / generate-matrix (push) Successful in 3s
Test Llama Stack Build / build-single-provider (push) Failing after 3s
Test Llama Stack Build / build-custom-container-distribution (push) Failing after 3s
Python Package Build Test / build (3.13) (push) Failing after 1s
Test Llama Stack Build / build-ubi9-container-distribution (push) Failing after 3s
Vector IO Integration Tests / test-matrix (push) Failing after 5s
Python Package Build Test / build (3.12) (push) Failing after 3s
Test External API and Providers / test-external (venv) (push) Failing after 4s
Test Llama Stack Build / build (push) Failing after 3s
API Conformance Tests / check-schema-compatibility (push) Successful in 10s
Unit Tests / unit-tests (3.13) (push) Failing after 3s
Unit Tests / unit-tests (3.12) (push) Failing after 5s
UI Tests / ui-tests (22) (push) Successful in 40s
Pre-commit / pre-commit (push) Successful in 2m14s
## Summary After removing model management CLI in #3700, this PR updates remaining references to the old `llama download` command to use `huggingface-cli download` instead. ## Changes - Updated error messages in `meta_reference/common.py` to recommend `huggingface-cli download` - Updated error messages in `torchtune/recipes/lora_finetuning_single_device.py` to use `huggingface-cli download` - Updated post-training notebook to use `huggingface-cli download` instead of `llama download` - Fixed typo: "you model" -> "your model" ## Test Plan - Verified error messages provide correct guidance for users - Checked that notebook instructions are up-to-date with current tooling
24 lines
1,006 B
Python
24 lines
1,006 B
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.
|
|
|
|
from pathlib import Path
|
|
|
|
from llama_stack.core.utils.model_utils import model_local_dir
|
|
|
|
|
|
def model_checkpoint_dir(model_id) -> str:
|
|
checkpoint_dir = Path(model_local_dir(model_id))
|
|
|
|
paths = [Path(checkpoint_dir / f"consolidated.{ext}") for ext in ["pth", "00.pth"]]
|
|
if not any(p.exists() for p in paths):
|
|
checkpoint_dir = checkpoint_dir / "original"
|
|
|
|
assert checkpoint_dir.exists(), (
|
|
f"Could not find checkpoints in: {model_local_dir(model_id)}. "
|
|
f"If you try to use the native llama model, please download the model using `llama-model download --source meta --model-id {model_id}` (see https://github.com/meta-llama/llama-models). "
|
|
f"Otherwise, please save your model checkpoint under {model_local_dir(model_id)}"
|
|
)
|
|
return str(checkpoint_dir)
|