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from opencompass.models import Llama2
# Please follow the instruction in the Meta AI website https://github.com/facebookresearch/llama/tree/llama_v1
# and download the LLaMA model and tokenizer to the path './models/llama/'.
#
# The LLaMA requirement is also needed to be installed.
# *Note* that the LLaMA-2 branch is fully compatible with LLAMA-1, and the LLaMA-2 branch is used here.
#
# git clone https://github.com/facebookresearch/llama.git
# cd llama
# pip install -e .
models = [
dict(
abbr="llama-30b",
type=Llama2,
path="./models/llama/30B/",
tokenizer_path="./models/llama/tokenizer.model",
max_out_len=100,
max_seq_len=2048,
batch_size=16,
run_cfg=dict(num_gpus=4, num_procs=4),
),
]
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