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30 lines
898 B
Python
30 lines
898 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="<|begin_of_text|>user<|end_header_id|>\n\n", end="<|eot_id|>"),
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dict(role="BOT", begin="<|begin_of_text|>assistant<|end_header_id|>\n\n", end="<|eot_id|>", 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="llama-3-8b-instruct-hf",
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path="meta-llama/Meta-Llama-3-8B-Instruct",
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model_kwargs=dict(device_map="auto"),
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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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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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generation_kwargs={"eos_token_id": [128001, 128009]},
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batch_padding=True,
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)
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]
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