hf_zephyr_7b_beta.py 850 Bytes
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from opencompass.models import HuggingFace
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_meta_template = dict(
    round=[
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        dict(role="HUMAN", begin='<|user|>\n', end='</s>'),
        dict(role="BOT", begin="<|assistant|>\n", end='</s>', generate=True),
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    ],
)

models = [
    dict(
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        type=HuggingFace,
        abbr='zephyr-7b-beta-hf',
        path='HuggingFaceH4/zephyr-7b-beta',
        tokenizer_path='HuggingFaceH4/zephyr-7b-beta',
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        model_kwargs=dict(
            trust_remote_code=True,
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            device_map='auto',
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        ),
        tokenizer_kwargs=dict(
            padding_side='left',
            truncation_side='left',
            trust_remote_code=True,
        ),
        meta_template=_meta_template,
        max_out_len=100,
        max_seq_len=2048,
        batch_size=8,
        run_cfg=dict(num_gpus=1, num_procs=1),
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        end_str='</s>',
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    )
]