diff --git a/scripts/finetune_wan_distillation_ci.sh b/scripts/finetune_wan_distillation_ci.sh
new file mode 100644
index 000000000..b0e656447
--- /dev/null
+++ b/scripts/finetune_wan_distillation_ci.sh
@@ -0,0 +1,67 @@
+export WANDB_BASE_URL="https://api.wandb.ai"
+export WANDB_MODE=online
+export WANDB_API_KEY='73190d8c0de18a14eb3444e222f9432d247d1e30'
+# export FASTVIDEO_ATTENTION_BACKEND=TORCH_SDPA
+export TRITON_CACHE_DIR=/tmp/triton_cache
+DATA_DIR=mini_i2v_dataset/crush-smol_preprocessed/combined_parquet_dataset
+# DATA_DIR=/mnt/sharefs/users/hao.zhang/Vchitect-2M/Vchitect-2M-laten-93x512x512/val/
+VALIDATION_DIR=mini_i2v_dataset/crush-smol_raw/validation.json
+NUM_GPUS=2
+export FASTVIDEO_ATTENTION_BACKEND=FLASH_ATTN
+# export FASTVIDEO_ATTENTION_BACKEND=FLASH_ATTN
+# export CUDA_VISIBLE_DEVICES=4,5
+# IP=[MASTER NODE IP]
+export TOKENIZERS_PARALLELISM=false
+CHECKPOINT_PATH="outputs_train_test/wan_finetune/checkpoint-10"
+
+# If you do not have 32 GPUs and to fit in memory, you can: 1. increase sp_size. 2. reduce num_latent_t
+torchrun --nnodes 1 --nproc_per_node $NUM_GPUS \
+    fastvideo/v1/training/wan_distillation_pipeline.py \
+    --model_path Wan-AI/Wan2.1-T2V-1.3B-Diffusers \
+    --inference_mode False\
+    --pretrained_model_name_or_path Wan-AI/Wan2.1-T2V-1.3B-Diffusers \
+    --cache_dir "/home/ray/.cache" \
+    --data_path "$DATA_DIR" \
+    --validation_dataset_file  "$VALIDATION_DIR" \
+    --train_batch_size 1 \
+    --num_latent_t 8 \
+    --sp_size 1 \
+    --tp_size 1 \
+    --num_gpus $NUM_GPUS \
+    --hsdp_replicate_dim $NUM_GPUS  \
+    --hsdp-shard-dim 1 \
+    --train_sp_batch_size 1 \
+    --dataloader_num_workers 0 \
+    --gradient_accumulation_steps 1 \
+    --max_train_steps 5 \
+    --learning_rate 1e-5 \
+    --mixed_precision "bf16" \
+    --checkpointing_steps 10 \
+    --validation_steps 3 \
+    --validation_sampling_steps "3" \
+    --log_validation \
+    --checkpoints_total_limit 3 \
+    --allow_tf32 \
+    --ema_start_step 0 \
+    --training_cfg_rate 0.0 \
+    --output_dir "outputs_dmd/wan_finetune" \
+    --tracker_project_name Wan_distillation \
+    --num_height 448 \
+    --num_width 832 \
+    --num_frames  29 \
+    --flow_shift 8 \
+    --validation_guidance_scale "1.0" \
+    --master_weight_type "fp32" \
+    --dit_precision "fp32" \
+    --vae_precision "bf16" \
+    --weight_decay 0.01 \
+    --max_grad_norm 1.0 \
+    --student_critic_update_ratio 3 \
+    --denoising_step_list '1000,757,522' \
+    --min_step_ratio 0.02 \
+    --max_step_ratio 0.98 \
+    --teacher_guidance_scale 3.5 \
+    --enable_gradient_checkpointing_type "full" \
+    --seed 1024 \
+
+# validation_preprocessed_path
\ No newline at end of file