### model
model_name_or_path: Qwen/Qwen3-VL-30B-A3B-Instruct
image_max_pixels: 262144
video_max_pixels: 16384
trust_remote_code: true
use_v1_kernels: true  # replaced kernels: [NpuRMSNormKernel, NpuRoPEKernel, NpuQwen3VLMoEFusedMoEKernel]

### method
stage: sft
do_train: true
finetuning_type: lora
lora_rank: 8
lora_target: all
disable_gradient_checkpointing: false
flash_attn: disabled

### dataset
dataset: alpaca_zh_demo, alpaca_en_demo
template: qwen3_vl
cutoff_len: 1024
overwrite_cache: true
preprocessing_num_workers: 16
dataloader_num_workers: 4

### output
output_dir: saves/qwen3vlmoe/lora/sft
logging_steps: 1
plot_loss: true
overwrite_output_dir: true
save_only_model: true
report_to: none  # choices: [none, wandb, tensorboard, swanlab, mlflow]

### train
per_device_train_batch_size: 8
gradient_accumulation_steps: 1
learning_rate: 1.0e-4
lr_scheduler_type: cosine
warmup_ratio: 0.1
bf16: true
ddp_timeout: 180000000
resume_from_checkpoint: null
seed: 1234