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13 Commits
fa3-hopper
...
cuda-12.8.
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8
.github/workflows/base.yml
vendored
8
.github/workflows/base.yml
vendored
@@ -40,6 +40,12 @@ jobs:
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python_version: "3.11"
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pytorch: 2.6.0
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torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
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- cuda: "128"
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cuda_version: 12.8.1
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cudnn_version: ""
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python_version: "3.11"
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pytorch: nightly
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torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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@@ -61,7 +67,7 @@ jobs:
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uses: docker/build-push-action@v4
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with:
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context: .
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file: ./docker/Dockerfile-base
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file: ${{ matrix.pytorch == 'nightly' && './docker/Dockerfile-base-nightly' || './docker/Dockerfile-base' }}
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push: ${{ github.event_name != 'pull_request' }}
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tags: ${{ steps.metadata.outputs.tags }}-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}${{ matrix.axolotl_extras != '' && '-' || '' }}${{ matrix.axolotl_extras }}
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labels: ${{ steps.metadata.outputs.labels }}
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2
.github/workflows/pypi.yml
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2
.github/workflows/pypi.yml
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@@ -40,7 +40,7 @@ jobs:
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- name: Install dependencies
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run: |
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pip3 install wheel packaging
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pip3 install wheel packaging==23.2
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pip3 install --no-build-isolation -e .
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pip3 install -r requirements-dev.txt -r requirements-tests.txt
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4
.github/workflows/tests-nightly.yml
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4
.github/workflows/tests-nightly.yml
vendored
@@ -42,7 +42,7 @@ jobs:
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- name: upgrade pip
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run: |
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pip3 install --upgrade pip
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pip3 install --upgrade packaging setuptools wheel
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pip3 install --upgrade packaging==23.2 setuptools==75.8.0 wheel
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- name: Install PyTorch
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run: |
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@@ -59,7 +59,7 @@ jobs:
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- name: Install dependencies
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run: |
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pip3 install --upgrade pip
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pip3 install --upgrade packaging
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pip3 install --upgrade packaging==23.2
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pip3 install --no-build-isolation -U -e .
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python scripts/unsloth_install.py | sh
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python scripts/cutcrossentropy_install.py | sh
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4
.github/workflows/tests.yml
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4
.github/workflows/tests.yml
vendored
@@ -74,7 +74,7 @@ jobs:
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- name: upgrade pip
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run: |
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pip3 install --upgrade pip
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pip3 install --upgrade packaging setuptools wheel
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pip3 install --upgrade packaging==23.2 setuptools==75.8.0 wheel
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- name: Install PyTorch
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run: |
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@@ -147,7 +147,7 @@ jobs:
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- name: upgrade pip
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run: |
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pip3 install --upgrade pip
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pip3 install --upgrade packaging setuptools setuptools_scm build wheel
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pip3 install --upgrade packaging==23.2 setuptools==75.8.0 setuptools_scm build wheel
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- name: Install PyTorch
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run: |
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@@ -55,7 +55,7 @@ Features:
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### Installation
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```bash
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pip3 install -U packaging setuptools wheel ninja
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pip3 install -U packaging==23.2 setuptools==75.8.0 wheel ninja
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pip3 install --no-build-isolation axolotl[flash-attn,deepspeed]
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# Download example axolotl configs, deepspeed configs
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@@ -31,7 +31,7 @@ RUN if [ "$NIGHTLY_BUILD" = "true" ] ; then \
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sed -i 's#^datasets.*#datasets @ git+https://github.com/huggingface/datasets.git@main#' requirements.txt; \
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fi
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RUN pip3 install -U packaging setuptools wheel
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RUN pip install packaging==23.2 setuptools==75.8.0
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RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
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pip install --no-build-isolation -e .[deepspeed,flash-attn,optimizers,ray,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
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else \
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@@ -28,7 +28,7 @@ ENV PATH="/root/miniconda3/envs/py${PYTHON_VERSION}/bin:${PATH}"
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WORKDIR /workspace
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RUN python3 -m pip install --upgrade pip && pip3 install -U packaging setuptools wheel && \
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RUN python3 -m pip install --upgrade pip && pip3 install -U packaging==23.2 setuptools==75.8.0 wheel && \
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python3 -m pip install --no-cache-dir -U torch==${PYTORCH_VERSION}+cu${CUDA} --extra-index-url https://download.pytorch.org/whl/cu$CUDA && \
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python3 -m pip install --no-cache-dir "causal_conv1d @ git+https://github.com/Dao-AILab/causal-conv1d.git@main" && \
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python3 -m pip install --no-cache-dir "mamba_ssm @ git+https://github.com/state-spaces/mamba.git@main"
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39
docker/Dockerfile-base-nightly
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39
docker/Dockerfile-base-nightly
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@@ -0,0 +1,39 @@
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ARG CUDA_VERSION="12.8.1"
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ARG CUDNN_VERSION="8"
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ARG UBUNTU_VERSION="22.04"
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ARG MAX_JOBS=4
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FROM nvidia/cuda:$CUDA_VERSION-cudnn$CUDNN_VERSION-devel-ubuntu$UBUNTU_VERSION AS base-builder
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ENV PATH="/root/miniconda3/bin:${PATH}"
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ARG PYTHON_VERSION="3.11"
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ARG PYTORCH_VERSION="nightly"
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ARG CUDA="128"
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ARG TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6 9.0+PTX"
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ENV PYTHON_VERSION=$PYTHON_VERSION
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ENV TORCH_CUDA_ARCH_LIST=$TORCH_CUDA_ARCH_LIST
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RUN apt-get update \
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&& apt-get install -y wget git build-essential ninja-build git-lfs libaio-dev pkg-config && rm -rf /var/lib/apt/lists/* \
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&& wget \
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https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \
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&& mkdir /root/.conda \
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&& bash Miniconda3-latest-Linux-x86_64.sh -b \
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&& rm -f Miniconda3-latest-Linux-x86_64.sh \
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&& conda create -n "py${PYTHON_VERSION}" python="${PYTHON_VERSION}"
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ENV PATH="/root/miniconda3/envs/py${PYTHON_VERSION}/bin:${PATH}"
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WORKDIR /workspace
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RUN python3 -m pip install --upgrade pip && pip3 install packaging && \
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python3 -m pip install --no-cache-dir -U torch --extra-index-url https://download.pytorch.org/whl/nightly/cu$CUDA && \
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python3 -m pip install --no-cache-dir "causal_conv1d @ git+https://github.com/Dao-AILab/causal-conv1d.git@main" && \
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python3 -m pip install --no-cache-dir "mamba_ssm @ git+https://github.com/state-spaces/mamba.git@main"
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RUN git lfs install --skip-repo && \
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pip3 install awscli && \
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# The base image ships with `pydantic==1.8.2` which is not working
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pip3 install -U --no-cache-dir pydantic==1.10.10
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@@ -1,5 +1,5 @@
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[build-system]
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requires = ["setuptools>=64", "wheel", "setuptools_scm>=8", "packaging>=24.2"]
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requires = ["setuptools>=64", "wheel", "setuptools_scm>=8", "packaging==23.2"]
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build-backend = "setuptools.build_meta"
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[project]
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@@ -8,7 +8,7 @@ dynamic = ["version", "dependencies", "optional-dependencies"]
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description = "LLM Trainer"
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readme = "README.md"
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requires-python = ">=3.10"
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license-files = ["LICENSE"]
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# license = "Apache-2.0"
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[project.scripts]
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axolotl = "axolotl.cli.main:main"
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@@ -1,7 +1,7 @@
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--extra-index-url https://huggingface.github.io/autogptq-index/whl/cu118/
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# START section of dependencies that don't install on Darwin/MacOS
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bitsandbytes==0.45.2
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bitsandbytes==0.45.3
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triton>=3.0.0
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mamba-ssm==1.2.0.post1
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flash-attn==2.7.4.post1
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@@ -10,14 +10,14 @@ autoawq==0.2.7.post3
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liger-kernel==0.5.3
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# END section
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packaging==24.2
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packaging==23.2
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peft==0.15.0
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transformers==4.49.0
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tokenizers>=0.21.1
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accelerate==1.5.2
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datasets==3.4.1
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deepspeed==0.16.1
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deepspeed==0.16.4
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trl==0.15.1
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optimum==1.16.2
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