| import os |
|
|
| os.environ['CUDA_VISIBLE_DEVICES'] = '0' |
|
|
| kwargs = { |
| 'per_device_train_batch_size': 2, |
| 'save_steps': 50, |
| 'gradient_accumulation_steps': 4, |
| 'num_train_epochs': 3, |
| } |
|
|
|
|
| def test_llm(): |
| from swift.llm import sft_main, TrainArguments, infer_main, InferArguments |
| result = sft_main( |
| TrainArguments( |
| model='Qwen/Qwen2-7B-Instruct', |
| dataset=['AI-ModelScope/alpaca-gpt4-data-zh#1000', 'swift/self-cognition#1000'], |
| packing=True, |
| max_length=4096, |
| attn_impl='flash_attn', |
| logging_steps=1, |
| **kwargs)) |
| last_model_checkpoint = result['last_model_checkpoint'] |
| infer_main(InferArguments(adapters=last_model_checkpoint, load_data_args=True, merge_lora=True)) |
|
|
|
|
| def test_streaming(): |
| from swift.llm import sft_main, TrainArguments, infer_main, InferArguments |
| result = sft_main( |
| TrainArguments( |
| model='Qwen/Qwen2-7B-Instruct', |
| dataset=['AI-ModelScope/alpaca-gpt4-data-zh#10000'], |
| packing=True, |
| max_length=4096, |
| streaming=True, |
| attn_impl='flash_attn', |
| max_steps=100, |
| dataset_num_proc=1, |
| **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_streaming(): |
| os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com' |
| from swift.llm import sft_main, TrainArguments, infer_main, InferArguments |
| result = sft_main( |
| TrainArguments( |
| model='Qwen/Qwen2-VL-7B-Instruct', |
| dataset=['HF::linxy/LaTeX_OCR#20000'], |
| packing=True, |
| max_length=8192, |
| streaming=True, |
| attn_impl='flash_attn', |
| max_steps=100, |
| dataset_num_proc=4, |
| **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_streaming() |
| |
|
|
