diff --git a/ernie/loss/dpo.py b/ernie/loss/dpo.py
index 914c9c2f3..29dddce73 100644
--- a/ernie/loss/dpo.py
+++ b/ernie/loss/dpo.py
@@ -312,6 +312,8 @@ def forward(
             policy_chosen_logps, policy_rejected_logps, reference_chosen_logps, reference_rejected_logps, score_deltas
         )
         loss = dpo_loss + sft_loss
+        if "iluvatar" in paddle.get_device():
+            paddle.device.empty_cache()
         if self.use_infohub:
             infohub.policy_chosen_logps.append(policy_chosen_logps.detach())
             infohub.policy_rejected_logps.append(policy_rejected_logps.detach())
diff --git a/examples/configs/iluvatar_gpu/ERNIE-4.5-21B-A3B/dpo/run_dpo_lora_8k.yaml b/examples/configs/iluvatar_gpu/ERNIE-4.5-21B-A3B/dpo/run_dpo_lora_8k.yaml
new file mode 100644
index 000000000..52af7afa7
--- /dev/null
+++ b/examples/configs/iluvatar_gpu/ERNIE-4.5-21B-A3B/dpo/run_dpo_lora_8k.yaml
@@ -0,0 +1,105 @@
+### data
+train_dataset_type: "erniekit"
+eval_dataset_type: "erniekit"
+train_dataset_path: "./examples/data/dpo-train.jsonl"
+train_dataset_prob: "1.0"
+eval_dataset_path: "./examples/data/dpo-eval.jsonl"
+eval_dataset_prob: "1.0"
+max_seq_len: 8192
+num_samples_each_epoch: 6000000
+
+### model
+model_name_or_path: /home/tianyu.zhou/ERNIE-4.5-21B-A3B-Paddle
+moe_group: mp
+fine_tuning: LoRA
+lora_rank: 32
+lora_alpha: 128
+lora_plus_scale: 12
+rslora: True
+fuse_rope: True
+fuse_linear: True
+
+### finetuning
+# base
+stage: DPO
+seed: 42
+do_train: True
+do_eval: True
+distributed_dataloader: True
+dataloader_num_workers: 4
+batch_size: 1
+num_train_epochs: 1
+max_steps: 800
+max_evaluate_steps: 10000
+eval_steps: 20000
+evaluation_strategy: epoch
+save_steps: 100
+save_total_limit: 5
+save_strategy: epoch
+logging_steps: 1
+release_grads: True
+gradient_accumulation_steps: 8
+logging_dir: ./vdl_log
+output_dir: ./output
+disable_tqdm: True
+
+# train
+warmup_steps: 50
+learning_rate: 5.0e-7
+lr_scheduler_type: cosine
+min_lr: 5.0e-7
+layerwise_lr_decay_bound: 1.0
+attention_probs_dropout_prob: 0.1
+dropout_warmup_steps: 100
+
+# loss
+offset_alpha: 0.0
+scale_loss: 8192
+
+# optimizer
+weight_decay: 0.1
+adam_epsilon: 1.0e-8
+adam_beta1: 0.9
+adam_beta2: 0.95
+offload_optim: True
+
+# performance
+use_sp_callback: True
+tensor_parallel_degree: 4
+tensor_parallel_config: "sync_param sync_grad sync_moment"
+pipeline_parallel_degree: 1
+sharding_parallel_degree: 1
+sharding: stage1
+sequence_parallel: True
+pipeline_parallel_config: disable_partial_send_recv enable_clear_every_step_cache disable_batch_p2p_comm
+recompute: True
+recompute_use_reentrant: True
+compute_type: bf16
+fp16_opt_level: O2
+amp_master_grad: True
+amp_custom_white_list:
+  - "lookup_table"
+  - "lookup_table_v2"
+  - "flash_attn"
+  - "matmul"
+  - "matmul_v2"
+  - "fused_gemm_epilogue"
+amp_custom_black_list:
+  - "reduce_sum"
+  - "softmax_with_cross_entropy"
+  - "c_softmax_with_cross_entropy"
+  - "elementwise_div"
+  - "sin"
+  - "cos"
+unified_checkpoint: True
+unified_checkpoint_config: async_save
+
+use_flash_attention: True
+use_sparse_head_and_loss_fn: False
+use_attn_mask_startend_row_indices: False
+use_sparse_flash_attn: False
+moe_multimodal_dispatch_use_allgather: "v2-alltoall"
+device: iluvatar_gpu
+fuse_rms_norm: False
+
+