cf0c79d52e
* fix: update chat_template * fix: handle gemma3 showing a lot of no content for turn 0 * fix: remove unknown config from examples * fix: test * fix: temporary disable gemma2 test * fix: stop overwriting config.text_config unnecessarily * fix: handling of set cache to the text_config section * feat: add liger gemma support and bump liger to 0.5.5 * fix: add double use_cache setting * fix: add support for final_logit_softcap in CCE for gemma2/3 * fix: set use_cache before model load * feat: add missing layernorm override * fix: handle gemma3 rmsnorm * fix: use wrapper to pass dim as hidden_size * fix: change dim to positional * fix: patch with wrong mlp * chore: refactor use_cache handling * fix import issues * fix tests.e2e.utils import --------- Co-authored-by: Wing Lian <wing@axolotl.ai>
133 lines
3.9 KiB
Python
133 lines
3.9 KiB
Python
"""
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Test cases for the tokenizer loading
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"""
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import unittest
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import pytest
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from axolotl.utils.dict import DictDefault
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from axolotl.utils.models import load_tokenizer
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from tests.hf_offline_utils import enable_hf_offline
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class TestTokenizers:
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"""
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test class for the load_tokenizer fn
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"""
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@enable_hf_offline
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def test_default_use_fast(self):
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cfg = DictDefault(
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{
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"tokenizer_config": "huggyllama/llama-7b",
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}
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)
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tokenizer = load_tokenizer(cfg)
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assert "Fast" in tokenizer.__class__.__name__
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@enable_hf_offline
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def test_dont_use_fast(self):
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cfg = DictDefault(
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{
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"tokenizer_config": "huggyllama/llama-7b",
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"tokenizer_use_fast": False,
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}
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)
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tokenizer = load_tokenizer(cfg)
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assert "Fast" not in tokenizer.__class__.__name__
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@enable_hf_offline
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def test_special_tokens_modules_to_save(self):
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# setting special_tokens to new token
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cfg = DictDefault(
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{
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"tokenizer_config": "huggyllama/llama-7b",
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"adapter": "lora",
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"special_tokens": {"bos_token": "[INST]"},
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}
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)
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with pytest.raises(
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ValueError,
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match=r".*Please set lora_modules_to_save*",
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):
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load_tokenizer(cfg)
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# setting special_tokens but not changing from default
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cfg = DictDefault(
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{
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"tokenizer_config": "huggyllama/llama-7b",
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"adapter": "lora",
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"special_tokens": {"bos_token": "<s>"},
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}
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)
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load_tokenizer(cfg)
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# non-adapter setting special_tokens
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cfg = DictDefault(
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{
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"tokenizer_config": "huggyllama/llama-7b",
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"special_tokens": {"bos_token": "[INST]"},
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}
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)
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load_tokenizer(cfg)
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@enable_hf_offline
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def test_add_additional_special_tokens(self):
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cfg = DictDefault(
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{
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"tokenizer_config": "huggyllama/llama-7b",
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"special_tokens": {"additional_special_tokens": ["<|im_start|>"]},
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}
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)
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tokenizer = load_tokenizer(cfg)
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assert tokenizer("<|im_start|>user")["input_ids"] == [1, 32000, 1404]
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assert len(tokenizer) == 32001
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# ensure reloading the tokenizer again from cfg results in same vocab length
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tokenizer = load_tokenizer(cfg)
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assert len(tokenizer) == 32001
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@enable_hf_offline
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def test_added_tokens_overrides(self, temp_dir):
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cfg = DictDefault(
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{
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# use with tokenizer that has reserved_tokens in added_tokens
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"tokenizer_config": "NousResearch/Llama-3.2-1B",
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"added_tokens_overrides": {
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128041: "RANDOM_OVERRIDE_1",
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128042: "RANDOM_OVERRIDE_2",
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},
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"output_dir": temp_dir,
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}
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)
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tokenizer = load_tokenizer(cfg)
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assert tokenizer.encode("RANDOM_OVERRIDE_1", add_special_tokens=False) == [
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128041
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]
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assert tokenizer.encode("RANDOM_OVERRIDE_2", add_special_tokens=False) == [
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128042
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]
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@enable_hf_offline
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def test_added_tokens_overrides_with_toolargeid(self, temp_dir):
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cfg = DictDefault(
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{
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# use with tokenizer that has reserved_tokens in added_tokens
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"tokenizer_config": "HuggingFaceTB/SmolLM2-135M",
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"added_tokens_overrides": {1000000: "BROKEN_RANDOM_OVERRIDE_1"},
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"output_dir": temp_dir,
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}
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)
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with pytest.raises(
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ValueError, match=r".*Token ID 1000000 not found in added_tokens.*"
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):
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load_tokenizer(cfg)
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if __name__ == "__main__":
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unittest.main()
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