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44 lines
1.4 KiB
Python
44 lines
1.4 KiB
Python
from mmengine.config import read_base
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from opencompass.models.turbomind_api import TurboMindAPIModel
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with read_base():
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# choose a list of datasets
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from opencompass.configs.datasets.ceval.ceval_gen_5f30c7 import \
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ceval_datasets
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from opencompass.configs.datasets.gsm8k.gsm8k_gen_1d7fe4 import \
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gsm8k_datasets
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from opencompass.configs.datasets.humaneval.humaneval_gen_8e312c import \
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humaneval_datasets
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from opencompass.configs.datasets.mmlu.mmlu_gen_a484b3 import mmlu_datasets
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from opencompass.configs.datasets.SuperGLUE_WiC.SuperGLUE_WiC_gen_d06864 import \
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WiC_datasets
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from opencompass.configs.datasets.triviaqa.triviaqa_gen_2121ce import \
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triviaqa_datasets
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# and output the results in a choosen format
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from opencompass.configs.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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internlm_chat_20b = dict(
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type=TurboMindAPIModel,
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abbr='internlm-chat-20b-turbomind',
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api_addr='http://0.0.0.0:23333',
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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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run_cfg=dict(num_gpus=1, num_procs=1),
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)
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internlm_chat_7b = dict(
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type=TurboMindAPIModel,
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abbr='internlm-chat-7b-turbomind',
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api_addr='http://0.0.0.0:23333',
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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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run_cfg=dict(num_gpus=1, num_procs=1),
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)
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models = [internlm_chat_20b]
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