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