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build(deps): changes needed to support mamba/jamba model #400

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build(deps): changes needed to support mamba/jamba model #400

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0a016ac
enable mamba deps
Ssukriti Nov 21, 2024
03d6d9a
fix deps
Ssukriti Nov 22, 2024
31fb6ae
try dockerfile
Ssukriti Nov 22, 2024
baa637a
trial 2 dockerfile
Ssukriti Nov 22, 2024
169e865
dockerfile trial 3
Ssukriti Nov 22, 2024
0683316
install cudnn9-cuda-12 and mamba separately
anhuong Nov 22, 2024
a3f8b64
deps: update transformers fork to 4.46
anhuong Nov 25, 2024
212b93c
update to latest transformers as PR merged
Ssukriti Dec 18, 2024
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6 changes: 4 additions & 2 deletions build/Dockerfile
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Original file line number Diff line number Diff line change
Expand Up @@ -76,7 +76,7 @@ RUN dnf config-manager \

ENV CUDA_HOME="/usr/local/cuda" \
PATH="/usr/local/nvidia/bin:${CUDA_HOME}/bin:${PATH}" \
LD_LIBRARY_PATH="/usr/local/nvidia/lib:/usr/local/nvidia/lib64:$CUDA_HOME/lib64:$CUDA_HOME/extras/CUPTI/lib64:${LD_LIBRARY_PATH}"
LD_LIBRARY_PATH="/usr/local/nvidia/lib:/usr/local/nvidia/lib64:$CUDA_HOME/lib64:$CUDA_HOME/extras/CUPTI/lib64:/usr/local/lib/python${PYTHON_VERSION}/site-packages/nvidia/cudnn/lib:/usr/local/nvidia/cudnn/lib:${LD_LIBRARY_PATH}"

## CUDA Development ############################################################
FROM cuda-base AS cuda-devel
Expand All @@ -99,6 +99,7 @@ RUN dnf config-manager \
libcublas-devel-12-1-${NV_LIBCUBLAS_DEV_VERSION} \
libnpp-devel-12-1-${NV_LIBNPP_DEV_VERSION} \
libnccl-devel-${NV_LIBNCCL_DEV_PACKAGE_VERSION} \
cudnn9-cuda-12 \
&& dnf clean all

ENV LIBRARY_PATH="$CUDA_HOME/lib64/stubs"
Expand Down Expand Up @@ -135,7 +136,8 @@ RUN if [[ -z "${WHEEL_VERSION}" ]]; \
RUN --mount=type=cache,target=/home/${USER}/.cache/pip,uid=${USER_UID} \
python -m pip install --user wheel && \
python -m pip install --user "$(head bdist_name)" && \
python -m pip install --user "$(head bdist_name)[flash-attn]"
python -m pip install --user "$(head bdist_name)[flash-attn]" && \
python -m pip install --user "$(head bdist_name)[mamba]"

# fms_acceleration_peft = PEFT-training, e.g., 4bit QLoRA
# fms_acceleration_foak = Fused LoRA and triton kernels
Expand Down
3 changes: 2 additions & 1 deletion pyproject.toml
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Expand Up @@ -28,7 +28,7 @@ classifiers=[
dependencies = [
"numpy>=1.26.4,<2.0",
"accelerate>=0.20.3,!=0.34,<1.1",
"transformers>=4.45,<4.46",
"transformers @ git+https://github.com/huggingface/transformers.git",
"torch>=2.2.0,<2.5",
"sentencepiece>=0.1.99,<0.3",
"tokenizers>=0.13.3,<1.0",
Expand All @@ -46,6 +46,7 @@ flash-attn = ["flash-attn>=2.5.3,<3.0"]
aim = ["aim>=3.19.0,<4.0"]
fms-accel = ["fms-acceleration>=0.1"]
gptq-dev = ["auto_gptq>0.4.2", "optimum>=1.15.0"]
mamba = ["mamba_ssm[causal-conv1d] @ git+https://github.com/state-spaces/mamba.git"]


[tool.setuptools.packages.find]
Expand Down
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