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36 lines
957 B
Python
36 lines
957 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='### Human: \n', end='\n\n'),
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dict(role='BOT', begin='### Assistant: ', end='</s>', 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=HuggingFaceCausalLM,
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abbr='nanbeige-16b-chat-hf',
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path='Nanbeige/Nanbeige-16B-Chat',
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tokenizer_path='Nanbeige/Nanbeige-16B-Chat',
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model_kwargs=dict(
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device_map='auto',
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trust_remote_code=True,
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torch_dtype='auto',
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),
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tokenizer_kwargs=dict(
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padding_side='left',
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truncation_side='left',
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trust_remote_code=True,
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use_fast=False,
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),
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meta_template=_meta_template,
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batch_padding=False,
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max_out_len=100,
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max_seq_len=4096,
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batch_size=8,
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run_cfg=dict(num_gpus=2, num_procs=1),
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end_str='</s>',
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)
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]
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