__init__.py

# SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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,
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from .baichuan.model import BaichuanForCausalLM
from .bert.model import BertForQuestionAnswering, BertModel
from .bloom.model import BloomForCausalLM, BloomModel
from .chatglm2_6b.model import ChatGLM2HeadModel, ChatGLM2Model
from .chatglm6b.model import ChatGLM6BHeadModel, ChatGLM6BModel
from .enc_dec.model import DecoderModel, EncoderModel
from .falcon.model import FalconForCausalLM, FalconModel
from .gpt.model import GPTLMHeadModel, GPTModel
from .gptj.model import GPTJForCausalLM, GPTJModel
from .gptneox.model import GPTNeoXForCausalLM, GPTNeoXModel
from .llama.model import LLaMAForCausalLM, LLaMAModel
from .opt.model import OPTLMHeadModel, OPTModel
from .quantized.quant import (fp8_quantize, smooth_quantize,
                              weight_only_groupwise_quantize,
                              weight_only_quantize)

__all__ = [
    'BertModel',
    'BertForQuestionAnswering',
    'BloomModel',
    'BloomForCausalLM',
    'FalconForCausalLM',
    'FalconModel',
    'GPTModel',
    'GPTLMHeadModel',
    'OPTLMHeadModel',
    'OPTModel',
    'LLaMAForCausalLM',
    'LLaMAModel',
    'GPTJModel',
    'GPTJForCausalLM',
    'GPTNeoXModel',
    'GPTNeoXForCausalLM',
    'smooth_quantize',
    'weight_only_quantize',
    'weight_only_groupwise_quantize',
    'fp8_quantize',
    'ChatGLM6BHeadModel',
    'ChatGLM6BModel',
    'ChatGLM2HeadModel',
    'ChatGLM2Model',
    'BaichuanForCausalLM',
    'EncoderModel',
    'DecoderModel',
]