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26 lines
698 B
Python
26 lines
698 B
Python
from opencompass.models import HuggingFaceCausalLM
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_meta_template = dict(
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round=[
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dict(role='HUMAN', begin='<_user>'),
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dict(role='BOT', begin='<_bot>', end='<_end>', generate=True),
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],
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)
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models = [
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dict(
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abbr='telechat-7b-hf',
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type=HuggingFaceCausalLM,
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path='Tele-AI/telechat-7B',
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model_kwargs=dict(device_map='auto', trust_remote_code=True),
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tokenizer_kwargs=dict(padding_side='left', truncation_side='left', trust_remote_code=True),
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meta_template=_meta_template,
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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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end_str='<_end>',
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)
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]
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