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38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
from mmengine.config import read_base
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from opencompass.models.openai_api import OpenAI
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from opencompass.partitioners import SizePartitioner
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from opencompass.runners import LocalRunner
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from opencompass.tasks import OpenICLInferTask
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with read_base():
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from opencompass.configs.datasets.gsm8k.gsm8k_gen_d6de81 import gsm8k_datasets
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from opencompass.configs.datasets.math.math_gen_1ed9c2 import math_datasets
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from opencompass.configs.datasets.MathBench.mathbench_gen import mathbench_datasets
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from opencompass.configs.summarizers.math_baseline import summarizer
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datasets = []
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datasets += gsm8k_datasets
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datasets += math_datasets
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datasets += mathbench_datasets
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models = [
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dict(
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abbr='gpt-3.5-react',
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type=OpenAI,
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path='gpt-3.5-turbo',
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key='ENV',
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query_per_second=1,
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max_seq_len=4096,
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batch_size=1,
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),
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]
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infer = dict(
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partitioner=dict(type=SizePartitioner, max_task_size=1000),
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runner=dict(
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type=LocalRunner,
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max_num_workers=16,
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task=dict(type=OpenICLInferTask)),
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)
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