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https://github.com/wassname/alignment-handbook.git
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27f7dbf006
* Update run_sft.py * fix BitsAndBytes JSON serializable * get_quantization_config to return dict * to_dict() for load_in_8bit too * convert quant test to use dict subscriptions instead of dot syntax * Remove torch --------- Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
89 lines
3.8 KiB
Python
89 lines
3.8 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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from alignment import (
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DataArguments,
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ModelArguments,
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get_peft_config,
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get_quantization_config,
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get_tokenizer,
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is_adapter_model,
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)
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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"], "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_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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class IsAdapterModelTest(unittest.TestCase):
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def test_is_adapter_model_calls_listdir(self):
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# Assert that for an invalid repo name it gets to the point where it calls os.listdir,
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# which is expected to raise a FileNotFoundError
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self.assertRaises(FileNotFoundError, is_adapter_model, "nonexistent/model")
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