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[Doc]: fix typos in various files (#28811)

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Signed-off-by: Didier Durand <durand.didier@gmail.com>
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Didier Durand
2025-11-16 15:30:06 +01:00
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parent 8d259fad6c
commit 63fed55506
7 changed files with 10 additions and 10 deletions
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2
docs/getting_started/installation/cpu.md
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@@ -104,7 +104,7 @@ Currently, there are no pre-built CPU wheels.
### Which `dtype` should be used?
- Currently vLLM CPU uses model default settings as `dtype`. However, due to unstable float16 support in torch CPU, it is recommended to explicitly set `dtype=bfloat16` if there are any performance or accuracy problem.
- Currently, vLLM CPU uses model default settings as `dtype`. However, due to unstable float16 support in torch CPU, it is recommended to explicitly set `dtype=bfloat16` if there are any performance or accuracy problem.
### How to launch a vLLM service on CPU?

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docs/getting_started/installation/cpu.s390x.inc.md
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@@ -2,7 +2,7 @@
vLLM has experimental support for s390x architecture on IBM Z platform. For now, users must build from source to natively run on IBM Z platform.
Currently the CPU implementation for s390x architecture supports FP32 datatype only.
Currently, the CPU implementation for s390x architecture supports FP32 datatype only.
!!! warning
There are no pre-built wheels or images for this device, so you must build vLLM from source.

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docs/getting_started/installation/cpu.x86.inc.md
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@@ -83,7 +83,7 @@ uv pip install dist/*.whl
!!! example "Troubleshooting"
- **NumPy ≥2.0 error**: Downgrade using `pip install "numpy<2.0"`.
- **CMake picks up CUDA**: Add `CMAKE_DISABLE_FIND_PACKAGE_CUDA=ON` to prevent CUDA detection during CPU builds, even if CUDA is installed.
- `AMD` requies at least 4th gen processors (Zen 4/Genoa) or higher to support [AVX512](https://www.phoronix.com/review/amd-zen4-avx512) to run vLLM on CPU.
- `AMD` requires at least 4th gen processors (Zen 4/Genoa) or higher to support [AVX512](https://www.phoronix.com/review/amd-zen4-avx512) to run vLLM on CPU.
- If you receive an error such as: `Could not find a version that satisfies the requirement torch==X.Y.Z+cpu+cpu`, consider updating [pyproject.toml](https://github.com/vllm-project/vllm/blob/main/pyproject.toml) to help pip resolve the dependency.
```toml title="pyproject.toml"
[build-system]