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hf offline decorator for tests to workaround rate limits (#2452) [skip ci]

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* hf offline decorator for tests to workaround rate limits

* fail quicker so we can see logs

* try new cache name

* limit files downloaded

* phi mini predownload

* offline decorator for phi tokenizer

* handle meta llama 8b offline too

* make sure to return fixtures if they are wrapped too

* more fixes

* more things offline

* more offline things

* fix the env var

* fix the model name

* handle gemma also

* force reload of modules to recheck offline status

* prefetch mistral too

* use reset_sessions so hub picks up offline mode

* more fixes

* rename so it doesn't seem like a context manager

* fix backoff

* switch out tinyshakespeare dataset since it runs a py script to fetch data and doesn't work offline

* include additional dataset

* more fixes

* more fixes

* replace tiny shakespeaere dataset

* skip some tests for now

* use more robust check using snapshot download to determine if a dataset name is on the hub

* typo for skip reason

* use local_files_only

* more fixtures

* remove local only

* use tiny shakespeare as pretrain dataset and streaming can't be offline even if precached

* make sure fixtures aren't offline

improve the offline reset
try bumping version of datasets
reorder reloading and setting
prime a new cache
run the tests now with fresh cache
try with a static cache

* now run all the ci again with hopefully a correct cache

* skip wonky tests for now

* skip wonky tests for now

* handle offline mode for model card creation
This commit is contained in:
Wing Lian
2025-03-28 19:20:46 -04:00
committed by GitHub
parent a4e430e7c4
commit 05f03b541a
21 changed files with 381 additions and 50 deletions
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11
tests/prompt_strategies/test_dpo_chat_templates.py
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@@ -7,6 +7,7 @@ import unittest
import pytest
from datasets import Dataset
from transformers import AutoTokenizer
from utils import enable_hf_offline
from axolotl.prompt_strategies.dpo.chat_template import default
from axolotl.utils.dict import DictDefault
@@ -78,15 +79,8 @@ def fixture_custom_assistant_dataset():
)
@pytest.fixture(name="llama3_tokenizer")
def fixture_llama3_tokenizer():
tokenizer = AutoTokenizer.from_pretrained("NousResearch/Meta-Llama-3-8B")
tokenizer.eos_token = "<|eot_id|>"
return tokenizer
@pytest.fixture(name="phi3_tokenizer")
@enable_hf_offline
def fixture_phi3_tokenizer():
tokenizer = AutoTokenizer.from_pretrained("microsoft/Phi-3-medium-128k-instruct")
@@ -94,6 +88,7 @@ def fixture_phi3_tokenizer():
@pytest.fixture(name="gemma_tokenizer")
@enable_hf_offline
def fixture_gemma_tokenizer():
tokenizer = AutoTokenizer.from_pretrained("unsloth/gemma-2b-it", revision="703fb4a")