diff --git a/tests/mindspore/st/st_run.sh b/tests/mindspore/st/st_run.sh
index 57946854c1bc7a10a78e82f0398cf90896e47fbf..268aba5a61630c151813d9eb3f66fda0a117f5c3 100644
--- a/tests/mindspore/st/st_run.sh
+++ b/tests/mindspore/st/st_run.sh
@@ -21,12 +21,6 @@ rm -f "$ERROR_FLAG"
 
 # step 2: enable deterministic computation and insert modification points
 MindSpeed_LLM_PATH=$BASE_DIR/../../../../MindSpeed-LLM
-Megatron_LM_PATH=$BASE_DIR/../../../../Megatron-LM
-addbias() {
-    fname=$1
-    lineNum=$(grep -n 'config.perform_initialization' ${fname} | cut -d: -f1)
-    sed -i $((lineNum))'i\ \ \ \ \ \ \ \ self.bias = torch.zeros((self.config.num_moe_experts), dtype=torch.bfloat16)' $fname
-}
 addSeedAll() {
     fname=$1
     lineNumMain=$(grep -n '__main__' ${fname} | cut -d: -f1)
@@ -60,9 +54,6 @@ modifyTrainingLogs() {
 modifyTrainingLogs ${MindSpeed_LLM_PATH}/mindspeed_llm/training/training.py
 addSeedAll ${MindSpeed_LLM_PATH}/pretrain_gpt.py
 addSeedAll ${MindSpeed_LLM_PATH}/posttrain_gpt.py
-sed -i 's/\ \ \ \ \ \ \ \ logits = F.linear(input, self.weight)/\ \ \ \ \ \ \ \ logits = F.linear(input, self.weight, self.bias)/g' ${MindSpeed_LLM_PATH}/mindspeed_llm/core/transformer/moe/router.py
-addbias ${Megatron_LM_PATH}/megatron/core/transformer/moe/router.py
-sed -i 's/        device=freqs.device, dtype=torch.float32/        dtype=torch.float32/g' ${MindSpeed_LLM_PATH}/mindspeed_llm/core/models/common/embeddings/rotary_pos_embedding.py
 export HCCL_DETERMINISTIC=true  
 export ASCEND_LAUNCH_BLOCKING=1  
 export NCCL_DETERMINISTIC=1