from opencompass.models import HuggingFaceCausalLM


_meta_template = dict(
    round=[
        dict(role='HUMAN', begin='\n\n### Instruction:\n'),
        dict(role='BOT', begin='\n\n### Response:\n', generate=True),
    ],
)

models = [
    dict(
        type=HuggingFaceCausalLM,
        abbr='tigerbot-70b-chat-v3-hf',
        path="TigerResearch/tigerbot-70b-chat-v3",
        tokenizer_path='TigerResearch/tigerbot-70b-chat-v3',
        model_kwargs=dict(
            trust_remote_code=True,
            device_map='auto',
        ),
        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=4, num_procs=1),
    )
]
