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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:$LD_LIBRARY_PATH
export HCCL_CONNECT_TIMEOUT=1200
export COMBINED_ENABLE=1
export CUDA_DEVICE_MAX_CONNECTIONS=1
# Change for multinode config
MASTER_ADDR=localhost
MASTER_PORT=6011
NNODES=1
NODE_RANK=0
NPUS_PER_NODE=8
WORLD_SIZE=$(($NPUS_PER_NODE*$NNODES))
DISTRIBUTED_ARGS="--nproc_per_node $NPUS_PER_NODE --nnodes $NNODES --node_rank $NODE_RANK --master_addr $MASTER_ADDR --master_port $MASTER_PORT"
CHECKPOINT="Your ckpt file path"
TOKENIZER_PATH="Your tokenizer path"
DATA_PATH="./boolq/data/test/"
TASK="boolq"
# Different task needs different max_new_tokens value, please follow the instruction in readme.
python -m torch.distributed.launch $DISTRIBUTED_ARGS evaluation.py \
--task-data-path $DATA_PATH \
--task $TASK\
--seq-length 4096 \
--max-new-tokens 1 \
--max-position-embeddings 4096 \
--tensor-model-parallel-size 8 \
--pipeline-model-parallel-size 1 \
--num-layers 80 \
--hidden-size 8192 \
--ffn-hidden-size 28672 \
--num-attention-heads 64 \
--disable-bias-linear \
--swiglu \
--position-embedding-type rope \
--load ${CHECKPOINT} \
--normalization RMSNorm \
--tokenizer-type PretrainedFromHF \
--tokenizer-name-or-path ${TOKENIZER_PATH} \
--tokenizer-not-use-fast \
--fp16 \
--group-query-attention \
--num-query-groups 8 \
--micro-batch-size 1 \
--exit-on-missing-checkpoint \
--no-load-rng \
--no-load-optim \
--untie-embeddings-and-output-weights \
--no-masked-softmax-fusion \
--make-vocab-size-divisible-by 1 \
--seed 42 | tee logs/eval_llama2_70b_${TASK}.log
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