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use updated version of prebuilt wheels for flash attention for cu130 #3342

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Merged
winglian merged 4 commits into from
Jan 5, 2026
Merged

use updated version of prebuilt wheels for flash attention for cu130 #3342

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e16a562
use updated version of prebuilt wheels for flash attention for cu130
winglian Jan 5, 2026
d67d715
use elif
winglian Jan 5, 2026
c0072c6
fix the uv base installs of FA also
winglian Jan 5, 2026
bd46af0
make wget less verbose
winglian Jan 5, 2026
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20 changes: 10 additions & 10 deletions .github/workflows/main.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -31,11 +31,11 @@ jobs:
python_version: "3.11"
pytorch: 2.9.1
axolotl_extras:
# - cuda: 130
# cuda_version: 13.0.0
# python_version: "3.11"
# pytorch: 2.9.1
# axolotl_extras:
- cuda: 130
cuda_version: 13.0.0
python_version: "3.11"
pytorch: 2.9.1
axolotl_extras:
runs-on: axolotl-gpu-runner
steps:
- name: Checkout
Expand Down Expand Up @@ -98,11 +98,11 @@ jobs:
python_version: "3.11"
pytorch: 2.9.1
axolotl_extras:
# - cuda: 130
# cuda_version: 13.0.0
# python_version: "3.11"
# pytorch: 2.9.1
# axolotl_extras:
- cuda: 130
cuda_version: 13.0.0
python_version: "3.11"
pytorch: 2.9.1
axolotl_extras:
runs-on: axolotl-gpu-runner
steps:
- name: Checkout
Expand Down
22 changes: 15 additions & 7 deletions docker/Dockerfile-base
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Expand Up @@ -7,9 +7,9 @@ FROM nvidia/cuda:$CUDA_VERSION-cudnn$CUDNN_VERSION-devel-ubuntu$UBUNTU_VERSION A

ENV PATH="/root/miniconda3/bin:${PATH}"

ARG PYTHON_VERSION="3.10"
ARG PYTHON_VERSION="3.11"
ARG PYTORCH_VERSION="2.1.2"
ARG CUDA="118"
ARG CUDA="128"
ARG TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6 9.0+PTX"

ENV PYTHON_VERSION=$PYTHON_VERSION
Expand Down Expand Up @@ -51,8 +51,16 @@ RUN git lfs install --skip-repo && \
pip3 install -U --no-cache-dir pydantic==1.10.10 && \
pip3 cache purge

RUN if [ "$PYTORCH_VERSION" =~ ^2\.9\.[0-9]+$ ] && [ "$CUDA" = "128" ] ; then \
wget https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/download/v0.4.17/flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
pip3 install --no-cache-dir flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
rm flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
fi
RUN case "$PYTORCH_VERSION" in \
2.9.[0-9]*) \
if [ "$CUDA" = "128" ]; then \
wget -nv https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/download/v0.5.4/flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
pip3 install --no-cache-dir flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
rm flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
elif [ "$CUDA" = "130" ]; then \
wget -nv https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/download/v0.5.4/flash_attn-2.8.3+cu130torch2.9-cp311-cp311-linux_x86_64.whl; \
pip3 install --no-cache-dir flash_attn-2.8.3+cu130torch2.9-cp311-cp311-linux_x86_64.whl; \
rm flash_attn-2.8.3+cu130torch2.9-cp311-cp311-linux_x86_64.whl; \
fi \
;; \
esac
18 changes: 13 additions & 5 deletions docker/Dockerfile-uv-base
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Expand Up @@ -35,8 +35,16 @@ RUN uv pip install packaging setuptools wheel psutil \
&& uv pip install "mamba_ssm @ git+https://github.com/state-spaces/mamba.git@main" \
&& uv pip install awscli pydantic

RUN if [ "$PYTORCH_VERSION" = "2.9.0" ] && [ "$CUDA" = "128" ] ; then \
wget https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/download/v0.4.17/flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
uv pip install --no-cache-dir flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
rm flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
fi
RUN case "$PYTORCH_VERSION" in \
2.9.[0-9]*) \
if [ "$CUDA" = "128" ]; then \
wget -nv https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/download/v0.5.4/flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
uv pip3 install --no-cache-dir flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
rm flash_attn-2.8.3+cu128torch2.9-cp311-cp311-linux_x86_64.whl; \
elif [ "$CUDA" = "130" ]; then \
wget -nv https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/download/v0.5.4/flash_attn-2.8.3+cu130torch2.9-cp311-cp311-linux_x86_64.whl; \
uv pip3 install --no-cache-dir flash_attn-2.8.3+cu130torch2.9-cp311-cp311-linux_x86_64.whl; \
rm flash_attn-2.8.3+cu130torch2.9-cp311-cp311-linux_x86_64.whl; \
fi \
;; \
esac
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