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32 lines
900 B
Python
32 lines
900 B
Python
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from opencompass.models import Llama2Chat
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# Please follow the instruction in the Meta AI website https://github.com/facebookresearch/llama
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# and download the LLaMA-2-Chat model and tokenizer to the path './models/llama2/llama/'.
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#
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# The LLaMA requirement is also needed to be installed.
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#
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# git clone https://github.com/facebookresearch/llama.git
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# cd llama
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# pip install -e .
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api_meta_template = dict(
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round=[
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dict(role="HUMAN", api_role="HUMAN"),
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dict(role="BOT", api_role="BOT", 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="llama-2-70b-chat",
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type=Llama2Chat,
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path="./models/llama2/llama/llama-2-70b-chat/",
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tokenizer_path="./models/llama2/llama/tokenizer.model",
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meta_template=api_meta_template,
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max_out_len=100,
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max_seq_len=2048,
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batch_size=16,
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run_cfg=dict(num_gpus=8, num_procs=8),
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),
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]
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