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42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
from mmengine.config import read_base
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from opencompass.models.lmdeploy_tis import LmdeployTisModel
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with read_base():
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# choose a list of datasets
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from .datasets.mmlu.mmlu_gen_a484b3 import mmlu_datasets
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from .datasets.ceval.ceval_gen_5f30c7 import ceval_datasets
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from .datasets.SuperGLUE_WiC.SuperGLUE_WiC_gen_d06864 import WiC_datasets
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from .datasets.SuperGLUE_WSC.SuperGLUE_WSC_gen_7902a7 import WSC_datasets
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from .datasets.triviaqa.triviaqa_gen_2121ce import triviaqa_datasets
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from .datasets.gsm8k.gsm8k_gen_1d7fe4 import gsm8k_datasets
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from .datasets.humaneval.humaneval_gen_8e312c import humaneval_datasets
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from .datasets.race.race_gen_69ee4f import race_datasets
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from .datasets.crowspairs.crowspairs_gen_381af0 import crowspairs_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 = sum((v for k, v in locals().items() if k.endswith('_datasets')), [])
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meta_template = dict(
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round=[
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dict(role='HUMAN', begin='<|im_start|>user\n', end='<|im_end|>\n'),
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dict(role='BOT', begin='<|im_start|>assistant\n', end='<|im_end|>\n', generate=True),
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],
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eos_token_id=92542
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)
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models = [
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dict(
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type=LmdeployTisModel,
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abbr='internlm-chat-20b-lmdeploy-tis',
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path='internlm/internlm-chat-20b',
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tis_addr='0.0.0.0:33337',
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max_out_len=100,
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max_seq_len=2048,
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batch_size=8,
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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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end_str='<|im_end|>',
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)
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]
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