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from mmengine.config import read_base
from opencompass.partitioners import NaivePartitioner
from opencompass.runners import LocalRunner
from opencompass.tasks import OpenICLInferTask
with read_base():
# choose a list of datasets
from .datasets.collections.chat_medium import datasets
# and output the results in a choosen format
from .summarizers.medium import summarizer
from .models.claude.claude import models
infer = dict(
partitioner=dict(type=NaivePartitioner),
runner=dict(
type=LocalRunner,
max_num_workers=8,
task=dict(type=OpenICLInferTask)),
)
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