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29 lines
816 B
Python
29 lines
816 B
Python
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from mmengine.config import read_base
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from opencompass.models.claude_api import Claude
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from opencompass.partitioners import NaivePartitioner
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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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# choose a list of datasets
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from .datasets.collections.chat_medium import 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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models = [
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dict(abbr='Claude2',
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type=Claude,
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path='claude-2',
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key='YOUR_CLAUDE_KEY',
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query_per_second=1,
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max_out_len=2048, max_seq_len=2048, batch_size=2),
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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=LocalRunner,
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max_num_workers=8,
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task=dict(type=OpenICLInferTask)),
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)
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