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#!/bin/bash |
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export WANDB_MODE=offline |
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export WANDB_CACHE_DIR=/workspace/data/wandb-cache |
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mkdir -p $WANDB_CACHE_DIR |
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mkdir -p /workspace/data/huggingface-cache/{hub,datasets} |
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export HF_DATASETS_CACHE="/workspace/data/huggingface-cache/datasets" |
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export HUGGINGFACE_HUB_CACHE="/workspace/data/huggingface-cache/hub" |
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export TRANSFORMERS_CACHE="/workspace/data/huggingface-cache/hub" |
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export NCCL_P2P_DISABLE=1 |
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nvidia-smi |
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num_gpus=$(nvidia-smi --query-gpu=name --format=csv,noheader | wc -l) |
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gpu_indices=$(seq 0 $((num_gpus - 1)) | paste -sd "," -) |
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export CUDA_VISIBLE_DEVICES=$gpu_indices |
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echo "CUDA_VISIBLE_DEVICES=$CUDA_VISIBLE_DEVICES" |
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apt-get update |
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apt-get install -y build-essential ninja-build vim git-lfs |
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git lfs install |
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pip3 install --force-reinstall https://download.pytorch.org/whl/nightly/cu117/torch-2.0.0.dev20230301%2Bcu117-cp38-cp38-linux_x86_64.whl --index-url https://download.pytorch.org/whl/nightly/cu117 |
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if [ -z "${TORCH_CUDA_ARCH_LIST}" ]; then |
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export TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6+PTX" |
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fi |
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mkdir -p /workspace/wheels |
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cd /workspace/wheels |
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curl -L -O https://github.com/OpenAccess-AI-Collective/axolotl/raw/wheels/wheels/deepspeed-0.9.2%2B7ddc3b01-cp38-cp38-linux_x86_64.whl |
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curl -L -O https://github.com/OpenAccess-AI-Collective/axolotl/raw/wheels/wheels/flash_attn-1.0.4-cp38-cp38-linux_x86_64.whl |
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pip install deepspeed-0.9.2%2B7ddc3b01-cp38-cp38-linux_x86_64.whl |
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pip install flash_attn-1.0.4-cp38-cp38-linux_x86_64.whl |
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pip install "peft @ git+https://github.com/huggingface/peft.git@main" --force-reinstall --no-dependencies |
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cd /workspace/ |
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git clone https://github.com/OpenAccess-AI-Collective/axolotl.git |
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cd axolotl |
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pip install -e .[int4] |
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mkdir -p ~/.cache/huggingface/accelerate/ |
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cp configs/accelerate/default_config.yaml ~/.cache/huggingface/accelerate/default_config.yaml |
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