diff --git a/results/inference/Llama2-7B/llama2_lora_predict.yaml b/results/inference/Llama2-7B/llama2_lora_predict.yaml
new file mode 100644
index 00000000..a922d2a9
--- /dev/null
+++ b/results/inference/Llama2-7B/llama2_lora_predict.yaml
@@ -0,0 +1,24 @@
+### model
+model_name_or_path: modelscope/Llama-2-7b-ms
+
+### method
+stage: sft
+do_predict: true
+finetuning_type: lora
+
+### dataset
+eval_dataset: alpaca_gpt4_zh
+template: llama2
+cutoff_len: 1024
+max_samples: 50
+overwrite_cache: true
+preprocessing_num_workers: 16
+
+### output
+output_dir: ./results/inference/Llama2-7B/Llama2-7B_inference_08_15_11_01
+overwrite_output_dir: true
+
+### eval
+per_device_eval_batch_size: 2
+predict_with_generate: true
+ddp_timeout: 180000000
diff --git a/results/lora_sft/Llama2-7B/llama2_lora_sft.yaml b/results/lora_sft/Llama2-7B/llama2_lora_sft.yaml
index a83daada..fadefabf 100644
--- a/results/lora_sft/Llama2-7B/llama2_lora_sft.yaml
+++ b/results/lora_sft/Llama2-7B/llama2_lora_sft.yaml
@@ -8,7 +8,7 @@ finetuning_type: lora
 lora_target: all
 
 ### dataset
-dataset: alpaca_gpt4_zh
+dataset: belle_1m
 template: llama2
 cutoff_len: 1024
 max_samples: 10000
@@ -16,7 +16,7 @@ overwrite_cache: true
 preprocessing_num_workers: 16
 
 ### output
-output_dir: ./saves/LLaMA2-7B/lora/train_24_8_13_13_16
+output_dir: ./results/lora_sft/Llama2-7B/Llama2-7B_lora_sft_08_15_11_01
 logging_steps: 3
 save_steps: 100
 plot_loss: true