[CI/Build] Drop Python 3.8 support (#10038)
Signed-off-by: Russell Bryant <rbryant@redhat.com> Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk> Co-authored-by: DarkLight1337 <tlleungac@connect.ust.hk>
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@ -13,8 +13,6 @@ Requirements
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* GPU: MI200s (gfx90a), MI300 (gfx942), Radeon RX 7900 series (gfx1100)
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* ROCm 6.2
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Note: PyTorch 2.5+/ROCm6.2 dropped the support for python 3.8.
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Installation options:
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#. :ref:`Build from source with docker <build_from_source_docker_rocm>`
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@ -66,7 +66,7 @@ If you want to access the wheels for previous commits, you can specify the commi
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$ export VLLM_COMMIT=33f460b17a54acb3b6cc0b03f4a17876cff5eafd # use full commit hash from the main branch
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$ pip install https://vllm-wheels.s3.us-west-2.amazonaws.com/${VLLM_COMMIT}/vllm-1.0.0.dev-cp38-abi3-manylinux1_x86_64.whl
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Note that the wheels are built with Python 3.8 ABI (see `PEP 425 <https://peps.python.org/pep-0425/>`_ for more details about ABI), so **they are compatible with Python 3.8 and later**. The version string in the wheel file name (``1.0.0.dev``) is just a placeholder to have a unified URL for the wheels. The actual versions of wheels are contained in the wheel metadata.
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Note that the wheels are built with Python 3.9 ABI (see `PEP 425 <https://peps.python.org/pep-0425/>`_ for more details about ABI), so **they are compatible with Python 3.9 and later**. The version string in the wheel file name (``1.0.0.dev``) is just a placeholder to have a unified URL for the wheels. The actual versions of wheels are contained in the wheel metadata.
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Another way to access the latest code is to use the docker images:
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@ -11,7 +11,7 @@ Requirements
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------------
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* OS: Linux
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* Python: 3.8 -- 3.11
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* Python: 3.9 -- 3.11
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* Accelerator: NeuronCore_v2 (in trn1/inf2 instances)
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* Pytorch 2.0.1/2.1.1
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* AWS Neuron SDK 2.16/2.17 (Verified on python 3.8)
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@ -12,7 +12,7 @@ This guide will help you quickly get started with vLLM to:
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Prerequisites
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--------------
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- OS: Linux
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- Python: 3.8 - 3.12
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- Python: 3.9 -- 3.12
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- GPU: compute capability 7.0 or higher (e.g., V100, T4, RTX20xx, A100, L4, H100, etc.)
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Installation
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