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from mmengine.config import read_base
from opencompass.models import ERNIEBot
from opencompass.partitioners import NaivePartitioner
from opencompass.runners.local_api import LocalAPIRunner
from opencompass.tasks import OpenICLInferTask
with read_base():
from ..summarizers.medium import summarizer
from ..datasets.ceval.ceval_gen import ceval_datasets
datasets = [
*ceval_datasets,
]
models = [
dict(
abbr='erniebot',
type=ERNIEBot,
path='erniebot',
key='xxxxxx', # please give you key
secretkey='xxxxxxxxx', # please give your group_id
url='xxxxxxxxx',
generation_kwargs = {
'temperature': 0.8,
},
query_per_second=1,
max_out_len=2048,
max_seq_len=2048,
batch_size=8
),
]
infer = dict(
partitioner=dict(type=NaivePartitioner),
runner=dict(
type=LocalAPIRunner,
max_num_workers=2,
concurrent_users=2,
task=dict(type=OpenICLInferTask)),
)
work_dir = "outputs/api_erniebot/" |