CUDA_VISIBLE_DEVICES=0 python llava/train/train_mem.py \
    --use_lora True --lora_rank 32 --lora_alpha 64 --mm_projector_lr 2e-5 \
    --llm_moe True --dense_moe True --lora_modules q_proj,k_proj,v_proj,o_proj --llm_moe_num_experts 3 --moe_balance_w 0.05 \
    --model_name_or_path ./checkpoints/llava-v1.5-7b \
    --version v1 \
    --freeze_backbone True \
    --data_path ./playground/data/llava_v1_5_mix665k.json \
    --image_folder ./playground/data \
    --vision_tower ./checkpoints/clip-vit-large-patch14-336 \
    --pretrain_mm_mlp_adapter ./checkpoints/llava-v1.5-7b/mm_projector.bin \
    --mm_projector_type mlp2x_gelu \
    --mm_vision_select_layer -2 \
    --mm_use_im_start_end False \
    --mm_use_im_patch_token False \
    --image_aspect_ratio resize \
    --group_by_modality_length True \
    --bf16 True \
    --output_dir ./checkpoints/llava-v1.5-7b-lora-mohle \
    --num_train_epochs 1 \
    --per_device_train_batch_size 1 \
    --per_device_eval_batch_size 1 \
    --gradient_accumulation_steps 2 \
    --evaluation_strategy "no" \
    --save_strategy "steps" \
    --save_steps 1000 \
    --save_total_limit 1 \
    --learning_rate 2e-4 \
    --weight_decay 0. \
    --warmup_ratio 0.03 \
    --lr_scheduler_type "cosine" \
    --logging_steps 1 \
    --tf32 False \
    --model_max_length 2048 \
    --gradient_checkpointing True \
    --dataloader_num_workers 2 \
    --lazy_preprocess True
