xinyun/vllm
1
0
Fork 0
mirror of https://git.datalinker.icu/vllm-project/vllm.git synced 2025-12-10 10:30:37 +08:00
Code Issues Packages Projects Releases Wiki Activity

[doc][misc] bump up py version in installation doc (#6119)

Browse Source
This commit is contained in:
youkaichao 2024-07-03 15:52:04 -07:00 committed by GitHub
parent 62963d129e
commit 966fe72141
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
docs/source/getting_started/installation.rst
View File

@ -20,7 +20,7 @@ You can install vLLM using pip:
.. code-block:: console
$ # (Recommended) Create a new conda environment.
$ conda create -n myenv python=3.9 -y
$ conda create -n myenv python=3.10 -y
$ conda activate myenv
$ # Install vLLM with CUDA 12.1.
@ -35,7 +35,7 @@ You can install vLLM using pip:
$ # Install vLLM with CUDA 11.8.
$ export VLLM_VERSION=0.4.0
$ export PYTHON_VERSION=39
$ export PYTHON_VERSION=310
$ pip install https://github.com/vllm-project/vllm/releases/download/v${VLLM_VERSION}/vllm-${VLLM_VERSION}+cu118-cp${PYTHON_VERSION}-cp${PYTHON_VERSION}-manylinux1_x86_64.whl --extra-index-url https://download.pytorch.org/whl/cu118
In order to be performant, vLLM has to compile many cuda kernels. The compilation unfortunately introduces binary incompatibility with other CUDA versions and PyTorch versions, even for the same PyTorch version with different building configurations.