Build some nightly wheels by default (#6380)
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@@ -42,6 +42,20 @@ You can install vLLM using pip:
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Therefore, it is recommended to install vLLM with a **fresh new** conda environment. If either you have a different CUDA version or you want to use an existing PyTorch installation, you need to build vLLM from source. See below for instructions.
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.. note::
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vLLM also publishes a subset of wheels (Python 3.10, 3.11 with CUDA 12) for every commit since v0.5.3. You can download them with the following command:
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.. code-block:: console
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$ export VLLM_VERSION=0.5.2 # vLLM's main branch version is currently set to latest released tag
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$ export PYTHON_VERSION=310
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$ pip install https://vllm-wheels.s3.us-west-2.amazonaws.com/nightly/vllm-${VLLM_VERSION}-cp${PYTHON_VERSION}-cp${PYTHON_VERSION}-manylinux1_x86_64.whl
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$ # You can also access a specific commit
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$ # export VLLM_COMMIT=...
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$ # pip install https://vllm-wheels.s3.us-west-2.amazonaws.com/${VLLM_COMMIT}/vllm-${VLLM_VERSION}-cp${PYTHON_VERSION}-cp${PYTHON_VERSION}-manylinux1_x86_64.whl
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.. _build_from_source:
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Build from source
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