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44 lines
1.1 KiB
Python
44 lines
1.1 KiB
Python
from mmengine.config import read_base
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from opencompass.models import AI360GPT
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from opencompass.partitioners import NaivePartitioner
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from opencompass.runners.local_api import LocalAPIRunner
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from opencompass.tasks import OpenICLInferTask
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with read_base():
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from opencompass.configs.summarizers.medium import summarizer
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from opencompass.configs.datasets.ceval.ceval_gen import ceval_datasets
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datasets = [
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*ceval_datasets,
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]
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models = [
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dict(
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abbr='360GPT_S2_V9',
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type=AI360GPT,
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path='360GPT_S2_V9',
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key='xxxxxxxxxxxx',
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generation_kwargs={
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'temperature': 0.9,
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'max_tokens': 2048,
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'top_p': 0.5,
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'tok_k': 0,
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'repetition_penalty': 1.05,
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},
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query_per_second=1,
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max_out_len=2048,
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max_seq_len=2048,
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batch_size=8),
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]
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infer = dict(
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partitioner=dict(type=NaivePartitioner),
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runner=dict(
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type=LocalAPIRunner,
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max_num_workers=2,
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concurrent_users=2,
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task=dict(type=OpenICLInferTask)),
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)
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work_dir ='./output/api_360GPT_S2_V9'
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