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from mmengine.config import read_base
from opencompass.models import SenseTime
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='nova-ptc-xl-v1',
type=SenseTime,
path='nova-ptc-xl-v1',
key='xxxxxxxxxxxxxx',
url='xxxxxxxxxxx',
query_per_second=1,
max_out_len=2048,
max_seq_len=2048,
batch_size=8,
parameters={
"temperature": 0.8,
"top_p": 0.7,
"max_new_tokens": 1024,
"repetition_penalty": 1.05,
"know_ids": [],
"stream": True,
"user": "#*#***TestUser***#*#",
"knowledge_config": {
"control_level": "normal",
"knowledge_base_result": False,
"online_search_result": False
}
}
)
]
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_sensetime/" |