File size: 1,220 Bytes
21d5a6e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | import os
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
kwargs = {
'per_device_train_batch_size': 2,
'save_steps': 5,
'gradient_accumulation_steps': 4,
'num_train_epochs': 1,
}
def test_llm():
from swift import InferArguments, PretrainArguments, infer_main, pretrain_main
result = pretrain_main(
PretrainArguments(
model='Qwen/Qwen2-7B-Instruct', dataset=['swift/sharegpt:all#100'], split_dataset_ratio=0.01, **kwargs))
last_model_checkpoint = result['last_model_checkpoint']
infer_main(InferArguments(adapters=last_model_checkpoint, load_data_args=True, merge_lora=True))
def test_mllm():
from swift import InferArguments, PretrainArguments, infer_main, pretrain_main
result = pretrain_main(
PretrainArguments(
model='Qwen/Qwen2-VL-7B-Instruct',
dataset=['modelscope/coco_2014_caption:validation#20', 'AI-ModelScope/alpaca-gpt4-data-en#20'],
split_dataset_ratio=0.01,
**kwargs))
last_model_checkpoint = result['last_model_checkpoint']
infer_main(InferArguments(adapters=last_model_checkpoint, load_data_args=True, merge_lora=True))
if __name__ == '__main__':
# test_llm()
test_mllm()
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