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#!/bin/bash
# This example will start serving the 345M model.
DISTRIBUTED_ARGS="--nproc_per_node 1 \
--nnodes 1 \
--node_rank 0 \
--master_addr localhost \
--master_port 6000"
CHECKPOINT=<Path to checkpoint (e.g /345m)>
VOCAB_FILE=<Path to vocab.json (e.g. /gpt2-vocab.json)>
MERGE_FILE=<Path to merges.txt (e.g. /gpt2-merges.txt)>
export CUDA_DEVICE_MAX_CONNECTIONS=1
pip install flask-restful
torchrun $DISTRIBUTED_ARGS tools/run_text_generation_server.py \
--tensor-model-parallel-size 1 \
--pipeline-model-parallel-size 1 \
--num-layers 24 \
--hidden-size 1024 \
--load ${CHECKPOINT} \
--num-attention-heads 16 \
--max-position-embeddings 1024 \
--tokenizer-type GPT2BPETokenizer \
--fp16 \
--micro-batch-size 1 \
--seq-length 1024 \
--out-seq-length 1024 \
--temperature 1.0 \
--vocab-file $VOCAB_FILE \
--merge-file $MERGE_FILE \
--top_p 0.9 \
--seed 42
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