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33 lines
839 B
Python
33 lines
839 B
Python
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from mmengine.config import read_base
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from opencompass.models.turbomind import TurboMindModel
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with read_base():
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# choose a list of datasets
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from .datasets.SuperGLUE_CB.SuperGLUE_CB_gen import CB_datasets
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# and output the results in a choosen format
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from .summarizers.medium import summarizer
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datasets = [*CB_datasets]
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_meta_template = dict(
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round=[
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dict(role='HUMAN', begin='<|User|>:', end='<eoh>\n'),
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dict(role='BOT', begin='<|Bot|>:', end='<eoa>\n', generate=True),
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],
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)
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models = [
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dict(
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type=TurboMindModel,
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abbr='internlm-chat-7b-tb',
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path="internlm-chat-7b",
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model_path='./workspace',
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max_out_len=100,
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max_seq_len=2048,
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batch_size=16,
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meta_template=_meta_template,
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run_cfg=dict(num_gpus=1, num_procs=1),
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)
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]
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