File size: 3,510 Bytes
778d47d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 | # coding=utf-8
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
import torch
from alignment import DataArguments, ModelArguments, get_peft_config, get_quantization_config, get_tokenizer
from alignment.data import DEFAULT_CHAT_TEMPLATE
class GetQuantizationConfigTest(unittest.TestCase):
def test_4bit(self):
model_args = ModelArguments(load_in_4bit=True)
quantization_config = get_quantization_config(model_args)
self.assertTrue(quantization_config.load_in_4bit)
self.assertEqual(quantization_config.bnb_4bit_compute_dtype, torch.float16)
self.assertEqual(quantization_config.bnb_4bit_quant_type, "nf4")
self.assertFalse(quantization_config.bnb_4bit_use_double_quant)
def test_8bit(self):
model_args = ModelArguments(load_in_8bit=True)
quantization_config = get_quantization_config(model_args)
self.assertTrue(quantization_config.load_in_8bit)
def test_no_quantization(self):
model_args = ModelArguments()
quantization_config = get_quantization_config(model_args)
self.assertIsNone(quantization_config)
class GetTokenizerTest(unittest.TestCase):
def setUp(self) -> None:
self.model_args = ModelArguments(model_name_or_path="HuggingFaceH4/zephyr-7b-alpha")
def test_right_truncation_side(self):
tokenizer = get_tokenizer(self.model_args, DataArguments(truncation_side="right"))
self.assertEqual(tokenizer.truncation_side, "right")
def test_left_truncation_side(self):
tokenizer = get_tokenizer(self.model_args, DataArguments(truncation_side="left"))
self.assertEqual(tokenizer.truncation_side, "left")
def test_default_chat_template(self):
tokenizer = get_tokenizer(self.model_args, DataArguments())
self.assertEqual(tokenizer.chat_template, DEFAULT_CHAT_TEMPLATE)
def test_chatml_chat_template(self):
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 %}"
tokenizer = get_tokenizer(self.model_args, DataArguments(chat_template=chat_template))
self.assertEqual(tokenizer.chat_template, chat_template)
class GetPeftConfigTest(unittest.TestCase):
def test_peft_config(self):
model_args = ModelArguments(use_peft=True, lora_r=42, lora_alpha=0.66, lora_dropout=0.99)
peft_config = get_peft_config(model_args)
self.assertEqual(peft_config.r, 42)
self.assertEqual(peft_config.lora_alpha, 0.66)
self.assertEqual(peft_config.lora_dropout, 0.99)
def test_no_peft_config(self):
model_args = ModelArguments(use_peft=False)
peft_config = get_peft_config(model_args)
self.assertIsNone(peft_config)
|