hf_llama2_7b_chat.py 810 Bytes
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from opencompass.models import HuggingFaceCausalLM

_meta_template = dict(
    round=[
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        dict(role="HUMAN", begin=' [INST] ', end=' [/INST] '),
        dict(role="BOT", begin='', end='', generate=True),
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    ],
)

models = [
    dict(
        type=HuggingFaceCausalLM,
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        abbr='llama-2-7b-chat-hf',
        path="meta-llama/Llama-2-7b-chat-hf",
        tokenizer_path='meta-llama/Llama-2-7b-chat-hf',
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        model_kwargs=dict(
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            device_map='auto'
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        ),
        tokenizer_kwargs=dict(
            padding_side='left',
            truncation_side='left',
            use_fast=False,
        ),
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        meta_template=_meta_template,
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        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='[INST]',
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    )
]