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25 lines
770 B
Python
25 lines
770 B
Python
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from opencompass.models import Llama2
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# Please follow the instruction in the Meta AI website https://github.com/facebookresearch/llama/tree/llama_v1
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# and download the LLaMA model and tokenizer to the path './models/llama/'.
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#
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# The LLaMA requirement is also needed to be installed.
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# *Note* that the LLaMA-2 branch is fully compatible with LLAMA-1, and the LLaMA-2 branch is used here.
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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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models = [
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dict(
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abbr="llama-65b",
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type=Llama2,
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path="./models/llama/65B/",
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tokenizer_path="./models/llama/tokenizer.model",
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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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