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merge_pp_partitions_102B.sh
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#!/bin/bash
#merge checkpoint along the pipeline
LOAD_CHECKPOINT_PATH=$1
#<Specify the loaded ckpt path>
SAVE_CHECKPOINT_PATH=$2
#<Specify the stored ckpt path>
TOKENIZER_MODEL_PATH=$3
#<Specify tokenizer model path>
export CUDA_DEVICE_MAX_CONNECTIONS=1
export PATH=/opt/conda/bin/:$PATH
if [ ! -d $SAVE_CHECKPOINT_PATH ]; then
mkdir $SAVE_CHECKPOINT_PATH
fi
python tools/merge_pp_partitions.py \
--tokenizer-model-path $TOKENIZER_MODEL_PATH \
--tensor-model-parallel-size 8 \
--target-tensor-model-parallel-size 8 \
--pipeline-model-parallel-size 32 \
--target-pipeline-model-parallel-size 1 \
--pipeline-model-parallel-method block \
--pipeline-model-parallel-blocks 2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,2,2 \
--target-pipeline-model-parallel-blocks 84 \
--tensor-generate-layer 0,1,2,3,4,5,6,7 \
--tokenizer-type YuanTokenizer \
--num-layers 84 \
--hidden-size 8192 \
--num-attention-heads 64 \
--seq-length 4096 \
--max-position-embeddings 4096 \
--use-lf-gate \
--lf-conv2d-group 1 \
--lf-conv2d-num-pad 1 \
--position-embedding-type rope \
--flash-attn-drop 0.1\
--fim-rate 0.5\
--fim-spm-rate 0.5\
--attention-dropout 0\
--hidden-dropout 0\
--norm-dtype RMSNorm \
--disable-bias-linear \
--reset-position-ids \
--use-flash-attn \
--swiglu \
--fused-rmsnorm \
--DDP-impl local \
--bf16 \
--save-interval 1 \
--recompute-method block \
--recompute-granularity full \
--recompute-num-layers 2 \
--load $LOAD_CHECKPOINT_PATH \
--save $SAVE_CHECKPOINT_PATH \
--micro-batch-size 1 \
--global-batch-size 1152 \
--no-load-optim \
--use-distributed-optimizer \
--lr 0.0001 \
--train-iters 63578 \
--lr-decay-iters 63578 \
--lr-decay-style cosine \
--min-lr 1.0e-5 \
--weight-decay 1e-1 \
--process-checkpoint \
--use-cpu-initialization \
--data-impl mmap
du -sh $SAVE_CHECKPOINT_PATH