diff --git a/examples/mindspore/codellama/pretrain_codellama_34b_ms_16p.sh b/examples/mindspore/codellama/pretrain_codellama_34b_ms_16p.sh
new file mode 100644
index 0000000000000000000000000000000000000000..3c045ab38c6a9894bb4fed10aa0ae9b9d274c742
--- /dev/null
+++ b/examples/mindspore/codellama/pretrain_codellama_34b_ms_16p.sh
@@ -0,0 +1,104 @@
+#!/bin/bash
+
+export CUDA_DEVICE_MAX_CONNECTIONS=1
+export NPU_ASD_ENABLE=0
+
+NPUS_PER_NODE=8
+MASTER_ADDR=localhost
+MASTER_PORT=6001
+NNODES=2
+NODE_RANK=0
+WORLD_SIZE=$((NPUS_PER_NODE*$NNODES))
+
+CKPT_SAVE_DIR="your model save ckpt path"
+DATA_PATH="your data path"
+TOKENIZER_MODEL="your tokenizer path"
+CKPT_LOAD_DIR="your model ckpt path"
+TP=8
+PP=2
+
+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 \
+"
+
+
+GPT_ARGS="
+    --use-mcore-models \
+    --tensor-model-parallel-size ${TP} \
+    --pipeline-model-parallel-size ${PP} \
+    --sequence-parallel \
+    --num-layers 48 \
+    --hidden-size 8192 \
+    --ffn-hidden-size 22016 \
+    --num-attention-heads 64 \
+    --tokenizer-type Llama2Tokenizer \
+    --tokenizer-model ${TOKENIZER_MODEL} \
+    --seq-length 4096 \
+    --max-position-embeddings 16384 \
+    --micro-batch-size 2 \
+    --global-batch-size 1024 \
+    --make-vocab-size-divisible-by 1 \
+    --lr 1.0e-7 \
+    --train-iters 2000 \
+    --lr-decay-style cosine \
+    --untie-embeddings-and-output-weights \
+    --disable-bias-linear \
+    --attention-dropout 0.0 \
+    --init-method-std 0.01 \
+    --hidden-dropout 0.0 \
+    --position-embedding-type rope \
+    --normalization RMSNorm \
+    --use-fused-rmsnorm \
+    --use-fused-rotary-pos-emb \
+    --use-rotary-position-embeddings \
+    --use-fused-swiglu \
+    --swiglu \
+    --use-flash-attn \
+    --group-query-attention \
+    --num-query-groups 8 \
+    --no-masked-softmax-fusion \
+    --attention-softmax-in-fp32 \
+    --min-lr 1.0e-8 \
+    --weight-decay 1e-2 \
+    --lr-warmup-fraction 0.01 \
+    --clip-grad 1.0 \
+    --adam-beta1 0.9 \
+    --adam-beta2 0.999 \
+    --initial-loss-scale 8188.0 \
+    --no-gradient-accumulation-fusion \
+    --load ${CKPT_LOAD_DIR}  \
+    --no-load-optim \
+    --no-load-rng \
+    --rotary-base 1000000 \
+    --vocab-size 32000 \
+    --bf16
+"
+
+DATA_ARGS="
+    --data-path $DATA_PATH \
+    --split 100,0,0
+"
+
+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 \
+    --distributed-backend nccl \
+    --ai-framework mindspore \
+    --save $CKPT_SAVE_DIR \
+    | tee logs/train_codellama_34b.log
\ No newline at end of file