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name = "typing-extensions" -version = "4.11.0" +version = "4.12.2" description = "Backported and Experimental Type Hints for Python 3.8+" optional = false python-versions = ">=3.8" files = [ - {file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"}, - {file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"}, + {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"}, + {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"}, ] [[package]] @@ -1887,13 +1795,13 @@ files = [ [[package]] name = "urllib3" -version = "2.2.1" +version = "2.2.2" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.8" files = [ - {file = 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-sentencepiece = "0.2.0" -bitsandbytes = "0.43.0" accelerate = "0.28.0" datasets = "2.18.0" [tool.poetry.group.dev.dependencies] +python = "^3.11" torch = "2.2.2" transformers = "4.39.2" -sentencepiece = "0.2.0" -bitsandbytes = "0.43.0" accelerate = "0.28.0" +datasets = "2.18.0" [tool.ruff] # Exclude a variety of commonly ignored directories. diff --git a/src/kimchima/__init__.py b/src/kimchima/__init__.py index bc96193..1d76e89 100644 --- a/src/kimchima/__init__.py +++ b/src/kimchima/__init__.py @@ -17,7 +17,6 @@ ModelFactory, TokenizerFactory, EmbeddingsFactory, - QuantizationFactory, StreamerFactory, PipelinesFactory, ChatTemplateFactory, @@ -34,7 +33,6 @@ 'ModelFactory', 'TokenizerFactory', 'EmbeddingsFactory', - 'QuantizationFactory', 'StreamerFactory', 'Devices', 'PipelinesFactory', diff --git a/src/kimchima/pkg/__init__.py b/src/kimchima/pkg/__init__.py index 719afae..32afb83 100644 --- a/src/kimchima/pkg/__init__.py +++ b/src/kimchima/pkg/__init__.py @@ -20,7 +20,6 @@ from .cross_encoder_factory import CrossEncoderFactory from .tokenizer_factory import TokenizerFactory from .embedding_factory import EmbeddingsFactory -from .quantization_factory import QuantizationFactory from .streamer_factory import StreamerFactory from .pipelines_factory import PipelinesFactory from .chat_template_factory import ChatTemplateFactory @@ -32,7 +31,6 @@ 'ModelFactory', 'TokenizerFactory', 'EmbeddingsFactory', - 'QuantizationFactory', 'StreamerFactory', 'PipelinesFactory', 'ChatTemplateFactory', diff --git a/src/kimchima/pkg/quantization_factory.py b/src/kimchima/pkg/quantization_factory.py deleted file mode 100644 index 6c2866b..0000000 --- a/src/kimchima/pkg/quantization_factory.py +++ /dev/null @@ -1,62 +0,0 @@ -# coding=utf-8 -# Copyright [2024] [SkywardAI] -# 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. - -from __future__ import annotations - -from functools import lru_cache -from kimchima.pkg import logging - -import torch -from transformers import BitsAndBytesConfig - -logger = logging.get_logger(__name__) - -class QuantizationFactory: - r""" - A factory class for creating Huggingface Transformers quantization configurations for different quantization techniques. - """ - - def __init__(self): - raise EnvironmentError( - "QuantizationFactory is designed to be instantiated " - ) - - @classmethod - @lru_cache(maxsize=1) - def quantization_4bit(cls, *args, **kwargs)-> BitsAndBytesConfig: - r""" - 4 bit quantization - """ - #TODO support more parameters - config=BitsAndBytesConfig( - load_in_4bit=True, - bnb_4bit_compute_dtype=torch.bfloat16, - **kwargs - ) - - return config - - @classmethod - @lru_cache(maxsize=1) - def quantization_8bit(cls, *args, **kwargs)-> BitsAndBytesConfig: - r""" - 8 bit quantization - """ - config=BitsAndBytesConfig( - load_in_8bit=True, - bnb_8bit_compute_dtype=torch.bfloat16, - **kwargs - ) - - return config diff --git a/src/kimchima/tests/test_quantization_factory.py b/src/kimchima/tests/test_quantization_factory.py deleted file mode 100644 index c818f78..0000000 --- a/src/kimchima/tests/test_quantization_factory.py +++ /dev/null @@ -1,30 +0,0 @@ -# coding=utf-8 -# Copyright [2024] [SkywardAI] -# 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 - -from kimchima.pkg import QuantizationFactory - -class TestQuantizationFactory(unittest.TestCase): - - def test_quantization_4bit(self): - """ - Test quantization_4bit method. This function is also test the quantization dependencies - were installed correctly. - """ - - quantization_config = QuantizationFactory.quantization_4bit() - - self.assertIsNotNone(quantization_config) - self.assertEqual(quantization_config.load_in_4bit, True) \ No newline at end of file