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61 lines
2.0 KiB
Bash
61 lines
2.0 KiB
Bash
#!/bin/bash
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# The number of parameters is not aligned
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export HCCL_CONNECT_TIMEOUT=1200
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export COMBINED_ENABLE=1
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export CUDA_DEVICE_MAX_CONNECTIONS=1
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# please fill these path configurations
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CHECKPOINT="your model directory path"
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CHECKPOINT_LORA="your lora model directory path"
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TOKENIZER_PATH="your tokenizer directory path"
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TOKENIZER_MODEL="your tokenizer.model file path"
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# Change for multinode config
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MASTER_ADDR=localhost
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MASTER_PORT=6001
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NNODES=1
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NODE_RANK=0
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NPUS_PER_NODE=8
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WORLD_SIZE=$(($NPUS_PER_NODE*$NNODES))
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DISTRIBUTED_ARGS="--nproc_per_node $NPUS_PER_NODE --nnodes $NNODES --node_rank $NODE_RANK --master_addr $MASTER_ADDR --master_port $MASTER_PORT"
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python -m torch.distributed.launch $DISTRIBUTED_ARGS inference.py \
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--tensor-model-parallel-size 1 \
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--pipeline-model-parallel-size 1 \
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--num-layers 32 \
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--hidden-size 4096 \
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--ffn-hidden-size 11008 \
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--position-embedding-type rope \
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--seq-length 4096 \
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--max-new-tokens 256 \
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--micro-batch-size 4 \
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--global-batch-size 16 \
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--num-attention-heads 32 \
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--max-position-embeddings 4096 \
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--swiglu \
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--load "${CHECKPOINT}" \
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--tokenizer-type PretrainedFromHF \
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--tokenizer-name-or-path "${TOKENIZER_PATH}" \
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--tokenizer-model "${TOKENIZER_MODEL}" \
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--tokenizer-not-use-fast \
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--bf16 \
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--normalization RMSNorm \
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--untie-embeddings-and-output-weights \
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--disable-bias-linear \
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--attention-softmax-in-fp32 \
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--no-load-optim \
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--no-load-rng \
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--no-masked-softmax-fusion \
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--no-gradient-accumulation-fusion \
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--exit-on-missing-checkpoint \
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--lora-load ${CHECKPOINT_LORA} \
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--lora-r 8 \
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--lora-alpha 16 \
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--lora-fusion \
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--lora-target-modules query_key_value dense dense_h_to_4h dense_4h_to_h \
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--make-vocab-size-divisible-by 1 \
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--prompt-type 'alpaca' \
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| tee logs/generate_llama2_7b_lora.log
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