mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
25 lines
770 B
Python
25 lines
770 B
Python
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),
|
|
),
|
|
]
|