mirror of
https://github.com/wassname/alignment-handbook.git
synced 2026-06-27 20:20:05 +08:00
Nathan Azrak
c69ae4b8a5
* Check that `default_chat_template` is also None before overwriting chat template * add unit test to `get_tokenizer` to ensure default behaviour of chat template is not changed --------- Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
91 lines
4.2 KiB
Python
91 lines
4.2 KiB
Python
# coding=utf-8
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# Copyright 2023 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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import torch
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from transformers import AutoTokenizer
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from alignment import DataArguments, ModelArguments, get_peft_config, get_quantization_config, get_tokenizer
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from alignment.data import DEFAULT_CHAT_TEMPLATE
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class GetQuantizationConfigTest(unittest.TestCase):
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def test_4bit(self):
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model_args = ModelArguments(load_in_4bit=True)
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quantization_config = get_quantization_config(model_args)
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self.assertTrue(quantization_config.load_in_4bit)
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self.assertEqual(quantization_config.bnb_4bit_compute_dtype, torch.float16)
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self.assertEqual(quantization_config.bnb_4bit_quant_type, "nf4")
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self.assertFalse(quantization_config.bnb_4bit_use_double_quant)
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def test_8bit(self):
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model_args = ModelArguments(load_in_8bit=True)
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quantization_config = get_quantization_config(model_args)
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self.assertTrue(quantization_config.load_in_8bit)
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def test_no_quantization(self):
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model_args = ModelArguments()
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quantization_config = get_quantization_config(model_args)
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self.assertIsNone(quantization_config)
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class GetTokenizerTest(unittest.TestCase):
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def setUp(self) -> None:
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self.model_args = ModelArguments(model_name_or_path="HuggingFaceH4/zephyr-7b-alpha")
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def test_right_truncation_side(self):
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tokenizer = get_tokenizer(self.model_args, DataArguments(truncation_side="right"))
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self.assertEqual(tokenizer.truncation_side, "right")
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def test_left_truncation_side(self):
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tokenizer = get_tokenizer(self.model_args, DataArguments(truncation_side="left"))
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self.assertEqual(tokenizer.truncation_side, "left")
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def test_default_chat_template(self):
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tokenizer = get_tokenizer(self.model_args, DataArguments())
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self.assertEqual(tokenizer.chat_template, DEFAULT_CHAT_TEMPLATE)
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def test_default_chat_template_no_overwrite(self):
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"""
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If no chat template is passed explicitly in the config, then for models with a
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`default_chat_template` but no `chat_template` we do not set a `chat_template`,
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and that we do not change `default_chat_template`
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"""
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model_args = ModelArguments(model_name_or_path="codellama/CodeLlama-7b-Instruct-hf")
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base_tokenizer = AutoTokenizer.from_pretrained("codellama/CodeLlama-7b-Instruct-hf")
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processed_tokenizer = get_tokenizer(model_args, DataArguments())
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assert getattr(processed_tokenizer, "chat_template") is None
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self.assertEqual(base_tokenizer.default_chat_template, processed_tokenizer.default_chat_template)
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def test_chatml_chat_template(self):
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chat_template = "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}"
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tokenizer = get_tokenizer(self.model_args, DataArguments(chat_template=chat_template))
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self.assertEqual(tokenizer.chat_template, chat_template)
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class GetPeftConfigTest(unittest.TestCase):
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def test_peft_config(self):
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model_args = ModelArguments(use_peft=True, lora_r=42, lora_alpha=0.66, lora_dropout=0.99)
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peft_config = get_peft_config(model_args)
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self.assertEqual(peft_config.r, 42)
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self.assertEqual(peft_config.lora_alpha, 0.66)
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self.assertEqual(peft_config.lora_dropout, 0.99)
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def test_no_peft_config(self):
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model_args = ModelArguments(use_peft=False)
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peft_config = get_peft_config(model_args)
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self.assertIsNone(peft_config)
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