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gemma.py
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gemma.py
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# coding=utf-8
# Copyright 2024 The HuggingFace Inc. 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.
from logging import getLogger
from tensorrt_llm.models.gemma.model import GemmaForCausalLM as TrtGemmaForCausalLM
from transformers import GemmaForCausalLM as TransformersGemmaForCausalLM
from optimum.nvidia.hub import HuggingFaceHubModel
from optimum.nvidia.models import SupportsTransformersConversion
from optimum.nvidia.runtime import CausalLM
LOGGER = getLogger(__name__)
class GemmaForCausalLM(CausalLM, HuggingFaceHubModel, SupportsTransformersConversion):
HF_LIBRARY_TARGET_MODEL_CLASS = TransformersGemmaForCausalLM
TRT_LLM_TARGET_MODEL_CLASSES = TrtGemmaForCausalLM
TRT_LLM_MANDATORY_CONVERSION_PARAMS = {"share_embedding_table": True}