wehub-resource-sync
45 lines
1.2 KiB
Bash
45 lines
1.2 KiB
Bash
# 8*80G
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# CUDA_VISIBLE_DEVICES=0 \
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# swift rollout \
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# --model Qwen/Qwen3-30B-A3B-Instruct-2507 \
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# --vllm_max_model_len 16384 \
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# --vllm_enable_prefix_caching true
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CUDA_VISIBLE_DEVICES=1,2,3,4,5,6,7 \
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NPROC_PER_NODE=7 \
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swift rlhf \
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--rlhf_type grpo \
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--model Qwen/Qwen3-30B-A3B-Instruct-2507 \
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--reward_funcs accuracy \
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--use_vllm true \
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--vllm_mode server \
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--vllm_server_host 127.0.0.1 \
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--vllm_server_port 8000 \
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--tuner_type lora \
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--torch_dtype bfloat16 \
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--dataset AI-MO/NuminaMath-TIR#1000 \
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--max_length 12000 \
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--max_completion_length 8192 \
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--overlong_filter true \
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--num_train_epochs 1 \
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--per_device_train_batch_size 1 \
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--learning_rate 1e-6 \
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--gradient_accumulation_steps 4 \
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--save_strategy 'steps' \
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--eval_strategy 'steps' \
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--eval_steps 1000 \
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--save_steps 1000 \
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--save_total_limit 10 \
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--logging_steps 1 \
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--warmup_ratio 0.01 \
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--dataloader_num_workers 4 \
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--num_generations 14 \
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--temperature 1.0 \
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--deepspeed zero3 \
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--log_completions true \
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--report_to tensorboard swanlab \
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--num_iterations 1 \
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--beta 0.001 \
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--move_model_batches 5
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