wehub-resource-sync
35 lines
1.1 KiB
Bash
35 lines
1.1 KiB
Bash
# If you don't want to train the router, set:
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# `--target_modules q_proj k_proj v_proj o_proj gate_proj up_proj down_proj`
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# Note: If you need to use DeepSpeed ZeRO-2/ZeRO-3 but encounter hangs
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# try using transformers==4.51.3
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CUDA_VISIBLE_DEVICES=0 \
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swift sft \
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--model Qwen/Qwen3-30B-A3B-Instruct-2507 \
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--tuner_type lora \
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--dataset 'swift/Chinese-Qwen3-235B-2507-Distill-data-110k-SFT#2000' \
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'swift/self-cognition#1000' \
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--load_from_cache_file true \
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--torch_dtype bfloat16 \
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--num_train_epochs 1 \
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--per_device_train_batch_size 1 \
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--per_device_eval_batch_size 1 \
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--learning_rate 1e-4 \
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--lora_rank 8 \
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--lora_alpha 32 \
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--router_aux_loss_coef 1e-3 \
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--experts_impl grouped_mm \
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--gradient_accumulation_steps 16 \
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--eval_steps 50 \
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--save_steps 50 \
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--save_total_limit 2 \
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--logging_steps 5 \
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--max_length 2048 \
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--output_dir output \
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--system 'You are a helpful assistant.' \
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--warmup_ratio 0.05 \
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--dataloader_num_workers 4 \
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--model_author swift \
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--model_name swift-robot
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