41 lines
1.2 KiB
Python
41 lines
1.2 KiB
Python
import os
|
|
|
|
os.environ['CUDA_VISIBLE_DEVICES'] = '0,1'
|
|
os.environ['ASCEND_RT_VISIBLE_DEVICES'] = '0,1'
|
|
|
|
|
|
def test_sft():
|
|
from swift.megatron import MegatronSftArguments, megatron_sft_main
|
|
megatron_sft_main(
|
|
MegatronSftArguments(
|
|
mcore_model='Qwen2-7B-Instruct-mcore',
|
|
dataset=[
|
|
'AI-ModelScope/alpaca-gpt4-data-zh#500', 'swift/self-cognition#500',
|
|
'AI-ModelScope/alpaca-gpt4-data-en#500'
|
|
],
|
|
split_dataset_ratio=0.01,
|
|
tensor_model_parallel_size=2,
|
|
train_iters=100,
|
|
model_author=['swift'],
|
|
model_name=['swift-robot'],
|
|
sequence_parallel=True,
|
|
finetune=True))
|
|
|
|
|
|
def test_pt():
|
|
from swift.megatron import MegatronPretrainArguments, megatron_pretrain_main
|
|
megatron_pretrain_main(
|
|
MegatronPretrainArguments(
|
|
mcore_model='Qwen2-7B-mcore',
|
|
dataset=['AI-ModelScope/alpaca-gpt4-data-zh#500', 'AI-ModelScope/alpaca-gpt4-data-en#500'],
|
|
split_dataset_ratio=0.01,
|
|
tensor_model_parallel_size=2,
|
|
train_iters=200,
|
|
eval_iters=5,
|
|
finetune=True))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
test_sft()
|
|
# test_pt()
|