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CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 \
NPROC_PER_NODE=8 \
swift rlhf \
--rlhf_type grpo \
--model Qwen/Qwen2.5-32B-Instruct \
--reward_funcs accuracy \
--use_vllm true \
--vllm_server_host xxx \
--vllm_server_port 8000 \
--train_type full \
--torch_dtype bfloat16 \
--dataset AI-MO/NuminaMath-TIR#1000 \
--max_completion_length 2048 \
--num_train_epochs 3 \
--per_device_train_batch_size 1 \
--per_device_eval_batch_size 1 \
--learning_rate 1e-6 \
--gradient_accumulation_steps 1 \
--save_total_limit 2 \
--logging_steps 1 \
--warmup_ratio 0.05 \
--dataloader_num_workers 4 \
--dataset_num_proc 4 \
--num_generations 8 \
--temperature 1.0 \
--top_p 0.9 \
--top_k 50 \
--deepspeed zero3 \
--log_completions true \
--num_iterations 1 \
--num_infer_workers 1 \
--report_to tensorboard wandb \
--beta 0.0