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#! /bin/bash
# assert correct usage
if [[ $# -ne 4 ]]; then
echo "Usage: $0 <llama/llama2/codellama/falcon> <7,13,30,40,65,70> <tp> <pp>"
exit 1
fi
# extract variables from command line
MODEL=$1
SIZE=$2
TENSOR_PARALLELISM=$3
PIPELINE_PARALLELISM=$4
# model-specific parameters
EXTRA_ARGS=""
if [[ $MODEL = falcon ]]; then
TRUE_VOCAB_SIZE=65024
elif [[ $MODEL = llama ]] || [[ $MODEL = llama2 ]]; then
TRUE_VOCAB_SIZE=32017 # 17 new tokens
if (( $SIZE > 60 )); then
EXTRA_ARGS="--bf16"
fi
elif [[ $MODEL = codellama ]]; then
TRUE_VOCAB_SIZE=32033 # 32016 + 17 new tokens
fi
# finally call the script
python tools/checkpoint_util.py \
--target_tensor_parallel_size $TENSOR_PARALLELISM \
--target_pipeline_parallel_size $PIPELINE_PARALLELISM \
--load_dir /pure-mlo-scratch/alhernan/megatron-data/checkpoints/${MODEL}-${SIZE}b/ \
--save_dir /pure-mlo-scratch/alhernan/megatron-data/checkpoints/${MODEL}-${SIZE}b-tp$TENSOR_PARALLELISM-pp$PIPELINE_PARALLELISM/ \
--model_type $MODEL \
--true_vocab_size $TRUE_VOCAB_SIZE \
$EXTRA_ARGS
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