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41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
from mmengine.config import read_base
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from opencompass.models import Doubao
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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 opencompass.configs.datasets.collections.chat_medium import datasets
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from opencompass.configs.summarizers.medium import summarizer
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from opencompass.configs.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='Doubao-pro-128k',
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type=Doubao,
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path='ep-xxxxxx',
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accesskey='Your_AK',
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secretkey='Your_SK',
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generation_kwargs={
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'temperature': 0.1,
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'top_p': 0.9,
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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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infer = dict(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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work_dir = 'outputs/api_doubao/'
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