A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 15, 11:00 UTC
Don't call the venv `vllm` (#17810)
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
Harry Mellor committed
May 8, 2025 at 05:06 UTC
66ab3b13c9a0ebf71ce2d445f8620018ba2e8443
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docs/source/getting_started/installation/python_env_setup.inc.md
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@@ -14,6 +14,6 @@ Or you can create a new Python environment using [uv](https://docs.astral.sh/uv/
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```console
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# (Recommended) Create a new uv environment. Use `--seed` to install `pip` and `setuptools` in the environment.
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-uv venv vllm --python 3.12 --seed
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-source vllm/bin/activate
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+uv venv --python 3.12 --seed
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+source .venv/bin/activate
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```