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 7, 19:00 UTC
[DOC][BugFix] Specfiy build dependency installation (#34513)
Signed-off-by: Jon OILLARBURU <jon.oillarburu@multiversecomputing.com> Co-authored-by: Jon OILLARBURU <jon.oillarburu@multiversecomputing.com>
jonoillar committed
Feb 25, 2026 at 09:04 UTC
26e722f9068699c18538eff44c9827561f3f90ab
1 file changed
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docs/contributing/README.md
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@@ -49,7 +49,13 @@ If you are developing vLLM's Python and CUDA/C++ code, install Pytorch first:
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uv pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu129
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```
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-then install vLLM using:
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+Then install the necessary build dependencies from `requirements/build.txt`, skipping `torch` as it was installed in the previous step:
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+
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+```bash
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+grep -v '^torch==' requirements/build.txt | uv pip install -r -
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+```
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+
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+Finally install vLLM using:
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```bash
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uv pip install -e . --no-build-isolation