docker/intel_code/llama13b/Megatron-DeepSpeed/examples/detxoify_lm/generate-1.3b.sh

#!/bin/bash
CHECKPOINT_PATH=$2          # Your model ckpt
VOCAB_FILE=gpt2-vocab.json
MERGE_FILE=gpt2-merges.txt

GPUS_PER_NODE=1
# Change for multinode config
MASTER_ADDR=localhost
MASTER_PORT=$(($RANDOM + 1024))
NNODES=1
NODE_RANK=0
WORLD_SIZE=$(($GPUS_PER_NODE*$NNODES))
NUM_SAMPLES=$(wc -l < $1)
PREFIX=$(basename $2)
SEED=$(($RANDOM))
OUTPUT=$1_output_"$PREFIX"_seed_"$SEED".jsonl

DISTRIBUTED_ARGS="--nproc_per_node $GPUS_PER_NODE --nnodes $NNODES --node_rank $NODE_RANK --master_addr $MASTER_ADDR --master_port $MASTER_PORT"

python -m torch.distributed.run $DISTRIBUTED_ARGS examples/detxoify_lm/generate_samples_gpt.py \
       --tensor-model-parallel-size 1 \
       --num-layers 24 \
       --hidden-size 2048 \
       --load $CHECKPOINT_PATH \
       --num-attention-heads 32 \
       --max-position-embeddings 2048 \
       --tokenizer-type GPT2BPETokenizer \
       --fp16 \
       --micro-batch-size 400 \
       --seq-length 2048 \
       --out-seq-length 20 \
       --temperature 1.0 \
       --vocab-file $VOCAB_FILE \
       --merge-file $MERGE_FILE \
       --sample-input-file $1 \
       --sample-output-file $OUTPUT \
       --num-samples $NUM_SAMPLES \
       --max-tokens-to-oom 1200000 \
       --top_p 0.9 \
       --seed $SEED