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from mmengine.config import read_base |
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from opencompass.models import ERNIEBot |
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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 ..summarizers.medium import summarizer |
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from ..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='erniebot', |
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type=ERNIEBot, |
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path='erniebot', |
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key='xxxxxx', |
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secretkey='xxxxxxxxx', |
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url='xxxxxxxxx', |
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generation_kwargs = { |
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'temperature': 0.8, |
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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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] |
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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 = "outputs/api_erniebot/" |