From cae418c05f96b87679593a0445e0e32211dc2c5d Mon Sep 17 00:00:00 2001
From: jiangzhihan1 <jiangzhihan1@huawei.com>
Date: Fri, 28 Feb 2025 14:51:27 +0800
Subject: [PATCH] =?UTF-8?q?=E6=B7=BB=E5=8A=A0deepseekv3=20384die=20?=
 =?UTF-8?q?=E5=85=A8=E5=8F=82=E5=BE=AE=E8=B0=83=E8=84=9A=E6=9C=AC?=
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---
 ...ne_deepseek3_671b_4k_384die_full_A3_ptd.sh | 179 ++++++++++++++++++
 1 file changed, 179 insertions(+)
 create mode 100644 examples/mcore/deepseek3/tune_deepseek3_671b_4k_384die_full_A3_ptd.sh

diff --git a/examples/mcore/deepseek3/tune_deepseek3_671b_4k_384die_full_A3_ptd.sh b/examples/mcore/deepseek3/tune_deepseek3_671b_4k_384die_full_A3_ptd.sh
new file mode 100644
index 0000000000..1231a64a20
--- /dev/null
+++ b/examples/mcore/deepseek3/tune_deepseek3_671b_4k_384die_full_A3_ptd.sh
@@ -0,0 +1,179 @@
+#!/bin/bash
+export CUDA_DEVICE_MAX_CONNECTIONS=1
+export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
+export HCCL_CONNECT_TIMEOUT=3600
+
+GPUS_PER_NODE=16
+MASTER_ADDR=localhost #主节点IP
+MASTER_PORT=6000
+NNODES=24
+NODE_RANK=0
+WORLD_SIZE=$(($GPUS_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=4
+PP=12
+EP=8
+CP=1
+CP_TYPE='ulysses_cp_algo'
+NUM_LAYERS=61
+SEQ_LEN=4096
+MBS=1
+GBS=384
+
+
+
+
+DISTRIBUTED_ARGS="
+    --nproc_per_node $GPUS_PER_NODE \
+    --nnodes $NNODES \
+    --node_rank $NODE_RANK \
+    --master_addr $MASTER_ADDR \
+    --master_port $MASTER_PORT
+"
+
+MLA_ARGS="
+    --multi-head-latent-attention \
+    --qk-rope-head-dim 64 \
+    --qk-nope-head-dim 128 \
+    --q-lora-rank 1536 \
+    --kv-lora-rank 512 \
+    --v-head-dim 128 \
+    --qk-layernorm \
+"
+
+MOE_ARGS="
+    --moe-grouped-gemm \
+    --moe-permutation-async-comm \
+    --use-fused-moe-token-permute-and-unpermute \
+    --moe-token-dispatcher-type alltoall \
+    --first-k-dense-replace 3 \
+    --moe-layer-freq 1 \
+    --n-shared-experts 1 \
+    --n-group 8 \
+    --num-experts 256 \
+    --moe-router-topk 8 \
+    --moe-intermediate-size 2048 \
+    --moe-router-load-balancing-type noaux_tc \
+    --topk-group 4 \
+    --routed-scaling-factor 2.5 \
+    --norm-topk-prob \
+    --moe-router-score-function sigmoid \
+    --moe-router-enable-expert-bias \
+"
+
+ROPE_ARGS="
+    --rope-scaling-beta-fast 32 \
+    --rope-scaling-beta-slow 1 \
+    --rope-scaling-factor 40 \
+    --rope-scaling-mscale 1.0 \
+    --rope-scaling-mscale-all-dim  1.0 \
+    --rope-scaling-original-max-position-embeddings 4096 \
+    --rope-scaling-type yarn
+"
+
+GPT_ARGS="
+    --spec mindspeed_llm.tasks.models.spec.deepseek_spec layer_spec \
+    --recompute-granularity full \
+    --recompute-method uniform \
+    --recompute-num-layers 1 \
+    --no-shared-storage \
+    --use-distributed-optimizer \
+    --reuse-fp32-param \
+    --use-flash-attn \
+    --shape-order BNSD \
+    --num-layer-list 5,5,5,5,5,5,5,5,5,6,6,4 \
+    --use-mcore-models \
+    --tensor-model-parallel-size ${TP} \
+    --pipeline-model-parallel-size ${PP} \
+    --expert-model-parallel-size ${EP} \
+    --sequence-parallel \
+    --context-parallel-size ${CP} \
+    --context-parallel-algo  ${CP_TYPE} \
+    --num-layers ${NUM_LAYERS} \
+    --hidden-size 7168 \
+    --ffn-hidden-size 18432 \
+    --num-attention-heads 128 \
+    --tokenizer-type PretrainedFromHF  \
+    --tokenizer-name-or-path ${TOKENIZER_PATH} \
+    --seq-length ${SEQ_LEN} \
+    --max-position-embeddings 163840 \
+    --micro-batch-size ${MBS} \
+    --global-batch-size ${GBS} \
+    --make-vocab-size-divisible-by 1 \
+    --lr 1.0e-5 \
+    --train-iters 2000 \
+    --lr-decay-style cosine \
+    --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 \
+    --no-gradient-accumulation-fusion \
+    --attention-softmax-in-fp32 \
+    --min-lr 1.0e-7 \
+    --weight-decay 1e-2 \
+    --lr-warmup-iters 100 \
+    --clip-grad 1.0 \
+    --adam-beta1 0.9 \
+    --adam-beta2 0.999 \
+    --initial-loss-scale 65536 \
+    --vocab-size 129280 \
+    --padded-vocab-size 129280 \
+    --rotary-base 10000 \
+    --norm-epsilon 1e-6 \
+    --no-load-optim \
+    --no-load-rng \
+    --bf16 \
+    --distributed-timeout-minutes 120 \
+"
+
+DATA_ARGS="
+    --data-path $DATA_PATH \
+    --split 100,0,0
+"
+
+OUTPUT_ARGS="
+    --log-interval 1 \
+    --save-interval 500 \
+    --eval-interval 500 \
+    --eval-iters 0 \
+    --no-save-optim \
+    --no-save-rng \
+    --load ${CKPT_LOAD_DIR} \
+    --save $CKPT_SAVE_DIR \
+"
+
+
+FINETUNE_ARGS="
+    --finetune \
+    --stage sft \
+    --is-instruction-dataset \
+    --variable-seq-lengths \
+    --prompt-type deepseek3 \
+"
+
+
+python -m torch.distributed.launch $DISTRIBUTED_ARGS posttrain_gpt.py \
+    $GPT_ARGS \
+    $DATA_ARGS \
+    $OUTPUT_ARGS \
+    $MLA_ARGS \
+    $ROPE_ARGS \
+    $MOE_ARGS \
+    $FINETUNE_ARGS \
+    --distributed-backend nccl \
+    | tee tune_deepseek3_671b_4k_full_384_ptd.log
+
-- 
Gitee