# 8*80G

# CUDA_VISIBLE_DEVICES=0 \
# swift rollout \
#     --model Qwen/Qwen3-30B-A3B-Instruct-2507 \
#     --vllm_max_model_len 16384 \
#     --vllm_enable_prefix_caching true

CUDA_VISIBLE_DEVICES=1,2,3,4,5,6,7 \
NPROC_PER_NODE=7 \
swift rlhf \
    --rlhf_type grpo \
    --model Qwen/Qwen3-30B-A3B-Instruct-2507 \
    --reward_funcs accuracy \
    --use_vllm true \
    --vllm_mode server \
    --vllm_server_host 127.0.0.1 \
    --vllm_server_port 8000 \
    --tuner_type full \
    --torch_dtype bfloat16 \
    --dataset AI-MO/NuminaMath-TIR#1000 \
    --max_length 12000 \
    --max_completion_length 8192 \
    --overlong_filter true \
    --num_train_epochs 1 \
    --per_device_train_batch_size 1 \
    --learning_rate 1e-6 \
    --gradient_accumulation_steps 4 \
    --save_strategy 'steps' \
    --eval_strategy 'steps' \
    --eval_steps 1000 \
    --save_steps 1000 \
    --save_total_limit 10 \
    --logging_steps 1 \
    --warmup_ratio 0.01 \
    --dataloader_num_workers 4 \
    --num_generations 14 \
    --temperature 1.0 \
    --deepspeed zero3_offload \
    --log_completions true \
    --report_to tensorboard swanlab \
    --num_iterations 1 \
    --beta 0.001 \
    --move_model_batches 5