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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/Qwen2.5-3B-Instruct \
--train_type full \
--reward_funcs accuracy \
--dataset AI-MO/NuminaMath-TIR#10000 \
--torch_dtype bfloat16 \
--use_vllm true \
--vllm_mode colocate \
--vllm_gpu_memory_utilization 0.5 \
--vllm_max_model_len 2048 \
--vllm_tensor_parallel_size 4 \
--num_train_epochs 1 \
--max_length 2048 \
--per_device_train_batch_size 4 \
--per_device_eval_batch_size 4 \
--gradient_accumulation_steps 1 \
--eval_steps 1000 \
--save_steps 1000 \
--learning_rate 1e-6 \
--save_total_limit 2 \
--logging_steps 5 \
--output_dir output \
--warmup_ratio 0.05 \
--dataloader_num_workers 4 \
--max_completion_length 2048 \
--num_generations 32 \
--deepspeed zero3 \
--temperature 1.0 \
--top_p 1.0 \
--top_k 80 \
--log_completions true \
--async_generate false \
--offload_optimizer true \
--offload_model true \
--sleep_level 1 \
--multi_turn_scheduler math_tip_trick_multi_turn \
--max_turns 3
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