mirror of
https://gitee.com/ascend/ModelLink.git
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63 lines
2.3 KiB
Python
63 lines
2.3 KiB
Python
# coding=utf-8
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# Copyright (c) 2024, HUAWEI CORPORATION. All rights reserved.
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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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import modellink
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from megatron import get_args
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from megatron.model import GPTModel
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from megatron.initialize import initialize_megatron
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from megatron.arguments import core_transformer_config_from_args
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from modellink.tasks.inference.text_generation.infer_base import task_factory, add_text_generate_args
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def model_provider(pre_process=True, post_process=True):
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"""Build the model."""
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config = core_transformer_config_from_args(get_args())
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init_model = GPTModel(
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config,
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parallel_output=False,
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pre_process=pre_process,
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post_process=post_process
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)
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return init_model
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if __name__ == "__main__":
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initialize_megatron(extra_args_provider=add_text_generate_args,
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args_defaults={'no_load_rng': True,
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'no_load_optim': True})
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args = get_args()
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model = GPTModel.from_pretrained(
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model_provider=model_provider,
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pretrained_model_name_or_path=args.load
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)
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system_template = ""
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dialog_template = "{instruction}"
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if args.inference_prompt_type == 'alpaca':
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system_template = "Below is an instruction that describes a task, paired with an input that provides further " \
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"context. Write a response that appropriately completes the request. " \
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"Please note that you need to think through your response logically and step by step.\n\n"
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dialog_template = "### Instruction:\n{instruction}\n\n### Response:"
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elif args.inference_prompt_type == 'mixtral':
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system_template = "<s>"
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dialog_template = "[INST] {instruction} [/INST] "
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task_factory(args, model, system_template=system_template, dialog_template=dialog_template)
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