OpenCompass/configs/api_examples/eval_api_nanbeige.py
notoschord d3a0ddc3ef
[Feature] Add support for Nanbeige API (#786)
Co-authored-by: notoschord <wangzekai@kanzhun.com>
2024-01-11 13:54:27 +08:00

36 lines
846 B
Python

from mmengine.config import read_base
from opencompass.models import Nanbeige
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='nanbeige-plus',
type=Nanbeige,
path='nanbeige-plus',
key="xxxxxx",
query_per_second=1,
max_out_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 ="./output/nanbeige-plus"