2023-07-06 16:02:39 +08:00
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from opencompass.models import HuggingFaceCausalLM
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models = [
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dict(
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type=HuggingFaceCausalLM,
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2023-09-08 15:41:20 +08:00
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abbr='vicuna-33b-v1.3-hf',
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2023-07-06 16:02:39 +08:00
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path="lmsys/vicuna-33b-v1.3",
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tokenizer_path='lmsys/vicuna-33b-v1.3',
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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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use_fast=False,
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),
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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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model_kwargs=dict(device_map='auto'),
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batch_padding=False, # if false, inference with for-loop without batch padding
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2023-11-23 14:05:59 +08:00
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use_fastchat_template=True,
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2023-07-06 16:02:39 +08:00
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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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