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41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
from mmengine.config import read_base
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from opencompass.models import MoonShot
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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.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='moonshot-v1-32k',
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type=MoonShot,
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path='moonshot-v1-32k',
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key='xxxxxxx',
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url= 'xxxxxxxx',
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system_prompt= '你是 Kimi，由 Moonshot AI 提供的人工智能助手，你更擅长中文和英文的对话。'
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'你会为用户提供安全，有帮助，准确的回答。同时，你会拒绝一些涉及恐怖主义，种族歧视，'
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'黄色暴力等问题的回答。Moonshot AI 为专有名词，不可翻译成其他语言。',
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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(
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partitioner=dict(type=NaivePartitioner),
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runner=dict(
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type=LocalAPIRunner,
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max_num_workers=4,
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concurrent_users=4,
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task=dict(type=OpenICLInferTask)),
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)
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work_dir = 'outputs/api_moonshot/'
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