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CUDA_VISIBLE_DEVICES=0,1,2,3 \
accelerate launch --config_file ./examples/train/multi-node/accelerate/multi_node.yaml --machine_rank 0 \
swift/cli/sft.py \
--model Qwen/Qwen2.5-7B-Instruct \
--train_type lora \
--torch_dtype bfloat16 \
--dataset 'swift/self-cognition#1000' \
--num_train_epochs 1 \
--lora_rank 8 \
--lora_alpha 32 \
--learning_rate 1e-4 \
--gradient_accumulation_steps 16 \
--eval_steps 100 \
--save_steps 100 \
--save_total_limit 2 \
--logging_steps 5 \
--model_author swift \
--model_name swift-robot
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