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from opencompass.models import HuggingFaceCausalLM |
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_meta_template = dict( |
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begin='', |
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round=[ |
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dict(role="HUMAN", begin='Question: ', end='\n\n'), |
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dict(role="BOT", begin="Answer: ", end='\n\n', generate=True), |
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], |
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) |
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models = [ |
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dict( |
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abbr='arithmo-mistral-7b-hf', |
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type=HuggingFaceCausalLM, |
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path='akjindal53244/Arithmo-Mistral-7B', |
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tokenizer_path='akjindal53244/Arithmo-Mistral-7B', |
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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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), |
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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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), |
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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=8, |
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run_cfg=dict(num_gpus=1, num_procs=1), |
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) |
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] |
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