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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, 23:30 UTC

[Docs] Change myenv to vllm. Update python_env_setup.inc.md (#13325)

凌 committed Feb 17, 2025 at 00:04 UTC da833b0aeee979bd754e92f7ada3a6709cf51954
1 file changed +4 -4
docs/source/getting_started/installation/python_env_setup.inc.md
+4 -4
@@ -2,8 +2,8 @@ You can create a new Python environment using `conda`:
2
3 ```console
4 # (Recommended) Create a new conda environment.
5 -conda create -n myenv python=3.12 -y
6 -conda activate myenv
5 +conda create -n vllm python=3.12 -y
6 +conda activate vllm
7 ```
8
9 :::{note}
@@ -14,6 +14,6 @@ Or you can create a new Python environment using [uv](https://docs.astral.sh/uv/
14
15 ```console
16 # (Recommended) Create a new uv environment. Use `--seed` to install `pip` and `setuptools` in the environment.
17 -uv venv myenv --python 3.12 --seed
18 -source myenv/bin/activate
17 +uv venv vllm --python 3.12 --seed
18 +source vllm/bin/activate
19 ```