mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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0ab9d17a59
* Update TensorRT-LLM --------- Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
92 lines
3.1 KiB
Python
Executable File
92 lines
3.1 KiB
Python
Executable File
# SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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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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from .baichuan.model import BaichuanForCausalLM
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from .bert.model import (BertForQuestionAnswering,
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BertForSequenceClassification, BertModel)
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from .bloom.model import BloomForCausalLM, BloomModel
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from .chatglm.model import ChatGLMForCausalLM, ChatGLMModel
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from .enc_dec.model import DecoderModel, EncoderModel, WhisperEncoder
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from .falcon.model import FalconForCausalLM, FalconModel
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from .gpt.model import GPTLMHeadModel, GPTModel
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from .gptj.model import GPTJForCausalLM, GPTJModel
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from .gptneox.model import GPTNeoXForCausalLM, GPTNeoXModel
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from .llama.model import LLaMAForCausalLM, LLaMAModel
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from .mamba.model import MambaLMHeadModel
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from .medusa.model import MedusaForCausalLm
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from .modeling_utils import PretrainedConfig, PretrainedModel
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from .mpt.model import MPTForCausalLM, MPTModel
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from .opt.model import OPTForCausalLM, OPTModel
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from .phi.model import PhiForCausalLM, PhiModel
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from .qwen.model import QWenForCausalLM
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from .skywork.model import SkyworkForCausalLM
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from .quantized.quant import quantize_model # noqa # isort:skip
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__all__ = [
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'BertModel',
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'BertForQuestionAnswering',
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'BertForSequenceClassification',
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'BloomModel',
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'BloomForCausalLM',
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'FalconForCausalLM',
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'FalconModel',
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'GPTModel',
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'GPTLMHeadModel',
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'OPTForCausalLM',
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'OPTModel',
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'LLaMAForCausalLM',
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'LLaMAModel',
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'MedusaForCausalLm',
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'GPTJModel',
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'GPTJForCausalLM',
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'GPTNeoXModel',
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'GPTNeoXForCausalLM',
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'PhiModel',
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'PhiForCausalLM',
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'quantize_model',
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'ChatGLMForCausalLM',
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'ChatGLMModel',
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'BaichuanForCausalLM',
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'QWenForCausalLM',
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'EncoderModel',
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'DecoderModel',
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'PretrainedConfig',
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'PretrainedModel',
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'WhisperEncoder',
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'MambaLMHeadModel',
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'MPTForCausalLM',
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'MPTModel',
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'SkyworkForCausalLM',
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]
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MODEL_MAP = {
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'OPTForCausalLM': OPTForCausalLM,
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'BloomForCausalLM': BloomForCausalLM,
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'FalconForCausalLM': FalconForCausalLM,
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'PhiForCausalLM': PhiForCausalLM,
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'MambaLMHeadModel': MambaLMHeadModel,
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'GPTNeoXForCausalLM': GPTNeoXForCausalLM,
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'GPTJForCausalLM': GPTJForCausalLM,
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'MPTForCausalLM': MPTForCausalLM,
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'ChatGLMForCausalLM': ChatGLMForCausalLM,
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'LlamaForCausalLM': LLaMAForCausalLM,
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'MistralForCausalLM': LLaMAForCausalLM,
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'MixtralForCausalLM': LLaMAForCausalLM,
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'InternLMForCausalLM': LLaMAForCausalLM,
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'MedusaForCausalLM': MedusaForCausalLm,
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'BaichuanForCausalLM': BaichuanForCausalLM,
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'SkyworkForCausalLM': SkyworkForCausalLM,
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}
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