51 lines
1.7 KiB
Bash
51 lines
1.7 KiB
Bash
#!/bin/bash
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# Use: ./run_text_gen_server_8b.sh <checkpoint-path> <tokenizer-path>
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# To launch the client: python ../../tools/text_generation_cli.py <URL-provided-by-server>
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CHECKPOINT_PATH=$1
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TOKENIZER_PATH=$2
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DISTRIBUTED_ARGS="--nproc_per_node 1 \
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--nnodes 1 \
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--node_rank 0 \
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--master_addr localhost \
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--master_port 6000"
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export NCCL_IB_SL=1
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export CUDA_DEVICE_MAX_CONNECTIONS=1
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export NCCL_IB_TIMEOUT=19
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export NCCL_IB_QPS_PER_CONNECTION=4
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export TRITON_CACHE_DIR="./triton-cache/"
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export TRITON_CACHE_MANAGER="megatron.core.ssm.triton_cache_manager:ParallelFileCacheManager"
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torchrun $DISTRIBUTED_ARGS ../../tools/run_mamba_text_generation_server.py \
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--tensor-model-parallel-size 1 \
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--pipeline-model-parallel-size 1 \
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--untie-embeddings-and-output-weights \
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--num-layers 56 \
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--hidden-size 4096 \
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--load ${CHECKPOINT_PATH} \
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--num-attention-heads 32 \
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--group-query-attention \
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--num-query-groups 8 \
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--hybrid-attention-ratio 0.08 \
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--hybrid-mlp-ratio 0.5 \
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--attention-dropout 0.0 \
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--hidden-dropout 0.0 \
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--disable-bias-linear \
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--normalization RMSNorm \
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--seq-length 4096 \
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--max-position-embeddings 4096 \
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--position-embedding-type none \
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--tokenizer-type GPTSentencePieceTokenizer \
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--tokenizer-model ${TOKENIZER_PATH} \
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--distributed-backend nccl \
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--distributed-timeout-minutes 1440 \
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--bf16 \
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--micro-batch-size 1 \
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--use-mcore-models \
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--spec megatron.core.models.mamba.mamba_layer_specs mamba_stack_spec \
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--seed 42
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