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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, 17:15 UTC

[Doc] update --system for transformers installation in docker doc (#15616)

Signed-off-by: reidliu41 <reid201711@gmail.com> Co-authored-by: reidliu41 <reid201711@gmail.com>

Reid committed Mar 27, 2025 at 20:38 UTC 8063dfc61a0cbb348d4b1baf4b6e03e8ebae7cfa
1 file changed +3 -3
docs/source/deployment/docker.md
+3 -3
@@ -34,11 +34,11 @@ If you need to use those dependencies (having accepted the license terms),
34 create a custom Dockerfile on top of the base image with an extra layer that installs them:
35
36 ```Dockerfile
37 -FROM vllm/vllm-openai:v0.8.0
37 +FROM vllm/vllm-openai:v0.8.2
38
39 # e.g. install the `audio` and `video` optional dependencies
40 # NOTE: Make sure the version of vLLM matches the base image!
41 -RUN uv pip install vllm[audio,video]==0.8.0
41 +RUN uv pip install --system vllm[audio,video]==0.8.2
42 ```
43
44 :::
@@ -52,7 +52,7 @@ with an extra layer that installs their code from source:
52 ```Dockerfile
53 FROM vllm/vllm-openai:latest
54
55 -RUN uv pip install git+https://github.com/huggingface/transformers.git
55 +RUN uv pip install --system git+https://github.com/huggingface/transformers.git
56 ```
57
58 :::