hf offline decorator for tests to workaround rate limits (#2452) [skip ci]
* 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
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@@ -6,6 +6,7 @@ import unittest
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import pytest
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from transformers import AutoTokenizer
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from utils import enable_hf_offline
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from axolotl.utils.chat_templates import (
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_CHAT_TEMPLATES,
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@@ -15,6 +16,7 @@ from axolotl.utils.chat_templates import (
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@pytest.fixture(name="llama3_tokenizer")
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@enable_hf_offline
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def fixture_llama3_tokenizer():
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tokenizer = AutoTokenizer.from_pretrained("NousResearch/Meta-Llama-3-8B")
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