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#!/bin/bash |
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megatron_model="/mnt/scratch-artemis/kshitij/LLAMA/latest_megatron_codebase/spgi_vox_mls_text_1b/megatron_model" |
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sharded_model="/mnt/scratch-artemis/kshitij/LLAMA/latest_megatron_codebase/spgi_vox_mls_text_1b/shards" |
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tp="2" |
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pp="1" |
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repo="/mnt/scratch-artemis/kshitij/LLAMA/latest_megatron_codebase/multilinguality_megatron" |
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vocab_size="37005" |
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for arg in "$@" |
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do |
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case $arg in |
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--help) |
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echo "Usage: ./script.sh [OPTIONS]" |
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echo "Options:" |
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echo " --megatron_model=PATH Path to sharded megatron model" |
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echo " --sharded_model=PATH Path to save sharded model." |
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echo " --tp=NUMBER Number of shards to divide model in." |
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echo " --pp=NUMBER Pipeline parallel (default is 1)" |
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echo " --repo=PATH Path to repo" |
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echo " --vocab_size=NUMBER Vocab size of model without padding" |
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exit 0 |
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;; |
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--megatron_model=*) |
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megatron_model="${arg#*=}" |
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shift |
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;; |
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--sharded_model=*) |
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sharded_model="${arg#*=}" |
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shift |
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;; |
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--tp=*) |
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tp="${arg#*=}" |
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shift |
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;; |
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--pp=*) |
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pp="${arg#*=}" |
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shift |
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;; |
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--repo=*) |
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repo="${arg#*=}" |
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shift |
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;; |
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--vocab_size=*) |
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vocab_size="${arg#*=}" |
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shift |
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;; |
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esac |
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done |
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python $repo/tools/checkpoint_util.py \ |
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--target_tensor_parallel_size $tp \ |
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--target_pipeline_parallel_size $pp \ |
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--load_dir $megatron_model \ |
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--save_dir $sharded_model \ |
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--model_type llama \ |
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--true_vocab_size $vocab_size \ |
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--bf16 |
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