diff --git a/examples/mindspore/grok1/pretrain_grok1_40b_ms.sh b/examples/mindspore/grok1/pretrain_grok1_40b_ms.sh
new file mode 100644
index 0000000000000000000000000000000000000000..c2585c50967399943dd65978daa8ee4a6cb55bb2
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+++ b/examples/mindspore/grok1/pretrain_grok1_40b_ms.sh
@@ -0,0 +1,147 @@
+#!/bin/bash
+# To check the performance of a Dropless MoE model, we should run the model for at least 500 iterations or resume from trained checkpoints.
+export CUDA_DEVICE_MAX_CONNECTIONS=1
+export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
+
+NPUS_PER_NODE=8
+MASTER_ADDR=localhost
+MASTER_PORT=6000
+NNODES=4
+NODE_RANK=0
+WORLD_SIZE=$(($NPUS_PER_NODE*$NNODES))
+
+CKPT_SAVE_DIR="your model save ckpt path"
+DATA_PATH="your data path"
+TOKENIZER_PATH="your tokenizer path"
+CKPT_LOAD_DIR="your model ckpt path"
+
+TP=8
+PP=2
+VPP=1
+EP=2
+CP=1
+CP_TYPE=ulysses_cp_algo
+NUM_LAYERS=12
+SEQ_LEN=8192
+MBS=1
+GBS=128
+
+DISTRIBUTED_ARGS="
+    --master_addr $MASTER_ADDR \
+    --node_rank $NODE_RANK \
+    --worker_num $WORLD_SIZE \
+    --local_worker_num $NPUS_PER_NODE \
+    --master_port $MASTER_PORT \
+    --log_dir=msrun_log \
+    --join=False \
+    --cluster_time_out=300 \
+    --bind_core=True \
+"
+
+
+MOE_ARGS="
+    --moe-permutation-async-comm \
+    --moe-token-dispatcher-type alltoall_seq \
+    --moe-grouped-gemm \
+    --num-experts 8 \
+    --moe-router-load-balancing-type aux_loss \
+    --moe-router-topk 2 \
+    --moe-aux-loss-coeff 1e-2 \
+    --embedding-multiplier-scale 78.38367176906169 \
+    --output-multiplier-scale 0.5773502691896257 \
+    --input-jitter \
+    --moe-layer-freq -1 \
+    --first-k-dense-replace -1 \
+"
+
+GPT_ARGS="
+    --spec mindspeed_llm.tasks.models.spec.grok_spec layer_spec \
+    --use-mcore-models \
+    --tensor-model-parallel-size ${TP} \
+    --pipeline-model-parallel-size ${PP} \
+    --num-layers-per-virtual-pipeline-stage ${VPP} \
+    --expert-model-parallel-size ${EP} \
+    --sequence-parallel \
+    --context-parallel-size ${CP} \
+    --context-parallel-algo  ${CP_TYPE} \
+    --num-layers ${NUM_LAYERS} \
+    --hidden-size 6144 \
+    --ffn-hidden-size 32768 \
+    --num-attention-heads 48 \
+    --group-query-attention \
+    --num-query-groups 8 \
+    --post-norm \
+    --tokenizer-type PretrainedFromHF  \
+    --tokenizer-name-or-path ${TOKENIZER_PATH} \
+    --seq-length ${SEQ_LEN} \
+    --max-position-embeddings 8192 \
+    --use-distributed-optimizer \
+    --gemm-gradient-accumulation-fusion \
+    --reuse-fp32-param \
+    --use-flash-attn \
+    --make-vocab-size-divisible-by 1 \
+    --untie-embeddings-and-output-weights \
+    --disable-bias-linear \
+    --attention-dropout 0.0 \
+    --init-method-std 0.02 \
+    --hidden-dropout 0.0 \
+    --position-embedding-type rope \
+    --normalization RMSNorm \
+    --use-fused-rotary-pos-emb \
+    --use-rotary-position-embeddings \
+    --use-fused-swiglu \
+    --use-fused-rmsnorm \
+    --swiglu \
+    --no-masked-softmax-fusion \
+    --attention-softmax-in-fp32 \
+    --vocab-size 131072 \
+    --rotary-base 10000 \
+"
+
+CKPT_ARGS="
+    --no-load-optim \
+    --no-load-rng \
+    --no-save-optim \
+    --no-save-rng \
+    --seed 1234 \
+    --save $CKPT_SAVE_DIR \
+    --load $CKPT_LOAD_DIR \
+"
+
+TRAIN_ARGS="
+    --micro-batch-size ${MBS} \
+    --global-batch-size ${GBS} \
+    --lr 1.0e-5 \
+    --train-iters 2000 \
+    --lr-decay-iters 1280 \
+    --lr-decay-style cosine \
+    --min-lr 1.0e-6 \
+    --weight-decay 0.1 \
+    --lr-warmup-iters 2 \
+    --clip-grad 1.0 \
+    --bf16
+"
+
+DATA_ARGS="
+    --no-shared-storage \
+    --data-path $DATA_PATH \
+    --split 949,50,1 \
+"
+
+OUTPUT_ARGS="
+    --log-interval 1 \
+    --save-interval 2000 \
+    --eval-interval 2000 \
+    --eval-iters 0 \
+"
+
+msrun  $DISTRIBUTED_ARGS pretrain_gpt.py \
+    $GPT_ARGS \
+    $DATA_ARGS \
+    $OUTPUT_ARGS \
+    $CKPT_ARGS \
+    $TRAIN_ARGS \
+    $MOE_ARGS \
+    --distributed-backend nccl \
+    --ai-framework mindspore \
+    | tee logs/pretrain_grok1_mcore_40b.log
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