ModelLink/tasks/inference/generate_qwen_72b_ptd.sh

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#!/bin/bash
# The number of parameters is not aligned
export LD_LIBRARY_PATH=/usr/local/lib:/usr/local/lib:/root/miniconda3/lib:$LD_LIBRARY_PATH
export HCCL_CONNECT_TIMEOUT=1200
export COMBINED_ENABLE=1
export CUDA_DEVICE_MAX_CONNECTIONS=1
# please fill these path configurations
CHECKPOINT="your model directory path"
TOKENIZER_PATH="your tokenizer path"
# Change for multinode config
MASTER_ADDR=localhost
MASTER_PORT=6001
NNODES=1
NODE_RANK=0
NPUS_PER_NODE=8
WORLD_SIZE=$(($NPUS_PER_NODE*$NNODES))
DISTRIBUTED_ARGS="--nproc_per_node $NPUS_PER_NODE --nnodes $NNODES --node_rank $NODE_RANK --master_addr $MASTER_ADDR --master_port $MASTER_PORT"
torchrun $DISTRIBUTED_ARGS inference_qwen.py \
--tensor-model-parallel-size 8 \
--pipeline-model-parallel-size 1 \
--num-layers 80 \
--hidden-size 8192 \
--num-attention-heads 64 \
--ffn-hidden-size 24576 \
--max-position-embeddings 32768 \
--seq-length 8192 \
--make-vocab-size-divisible-by 64 \
--untie-embeddings-and-output-weights \
--micro-batch-size 1 \
--swiglu \
--disable-bias-linear \
--tokenizer-type PretrainedFromHF \
--tokenizer-name-or-path ${TOKENIZER_PATH} \
--load ${CHECKPOINT} \
--normalization RMSNorm \
--position-embedding-type rope \
--norm-epsilon 1e-6 \
--hidden-dropout 0 \
--attention-dropout 0 \
--tokenizer-not-use-fast \
--add-qkv-bias \
--rotary-base 1000000 \
--tokenizer-kwargs 'eos_token' '<|endoftext|>' 'pad_token' '<|extra_0|>' \
--max-new-tokens 256 \
--seed 42 \
--bf16