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26 lines
658 B
Python
26 lines
658 B
Python
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from opencompass.models import VLLM
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_meta_template = dict(
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round=[
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dict(role="HUMAN", begin='\n<|im_start|>user\n', end='<|im_end|>'),
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dict(role="BOT", begin="\n<|im_start|>assistant\n", end='<|im_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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type=VLLM,
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abbr='qwen-72b-chat-vllm',
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path="Qwen/Qwen-72B-Chat",
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model_kwargs=dict(tensor_parallel_size=4),
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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=32,
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generation_kwargs=dict(temperature=0),
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end_str='<|im_end|>',
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run_cfg=dict(num_gpus=4, num_procs=1),
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)
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]
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