48 lines
1.7 KiB
Django/Jinja
48 lines
1.7 KiB
Django/Jinja
FROM winglian/axolotl-base:{{ BASE_TAG }}
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ENV TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6+PTX"
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ENV AXOLOTL_EXTRAS="{{ AXOLOTL_EXTRAS }}"
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ENV AXOLOTL_ARGS="{{ AXOLOTL_ARGS }}"
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ENV CUDA="{{ CUDA }}"
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ENV BNB_CUDA_VERSION="{{ CUDA }}"
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ENV PYTORCH_VERSION="{{ PYTORCH_VERSION }}"
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ENV GITHUB_REF="{{ GITHUB_REF }}"
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ENV GITHUB_SHA="{{ GITHUB_SHA }}"
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ENV NIGHTLY_BUILD="{{ NIGHTLY_BUILD }}"
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RUN apt-get update && \
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apt-get install -y --allow-change-held-packages vim curl nano libnccl2 libnccl-dev
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WORKDIR /workspace
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RUN git clone --depth=1 https://github.com/axolotl-ai-cloud/axolotl.git
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WORKDIR /workspace/axolotl
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RUN git fetch origin +$GITHUB_REF && \
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git checkout FETCH_HEAD
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# If AXOLOTL_EXTRAS is set, append it in brackets
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RUN pip install causal_conv1d
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RUN if [ "$NIGHTLY_BUILD" = "true" ] ; then \
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sed -i 's#^transformers.*#transformers @ git+https://github.com/huggingface/transformers.git@main#' requirements.txt; \
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sed -i 's#^peft.*#peft @ git+https://github.com/huggingface/peft.git@main#' requirements.txt; \
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sed -i 's#^accelerate.*#accelerate @ git+https://github.com/huggingface/accelerate.git@main#' requirements.txt; \
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fi
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RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
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pip install -e .[deepspeed,flash-attn,optimizers,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
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else \
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pip install -e .[deepspeed,flash-attn,optimizers] $AXOLOTL_ARGS; \
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fi
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# So we can test the Docker image
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RUN pip install -r requirements-tests.txt
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# fix so that git fetch/pull from remote works
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RUN git config remote.origin.fetch "+refs/heads/*:refs/remotes/origin/*" && \
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git config --get remote.origin.fetch
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# helper for huggingface-login cli
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RUN git config --global credential.helper store
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