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[docs] Fix legacy hf CLI references (vllm) (#57958)

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Signed-off-by: Wauplin <lucainp@gmail.com>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
This commit is contained in:
Lucain
2026-09-21 15:32:27 +00:00
committed by GitHub
co-authored by Claude Opus 5
parent dc479a2d83
commit 6b858751f6
6 changed files with 6 additions and 6 deletions
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docker/Dockerfile.rock
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@@ -914,7 +914,7 @@ RUN case "$(which python3)" in \
*) ;; esac
RUN --mount=type=cache,target=/root/.cache/uv \
uv pip install --system --upgrade huggingface-hub[cli]
uv pip install --system --upgrade huggingface-hub
# Install vLLM using uv (inherited from base stage)
# Note: No -U flag to avoid upgrading PyTorch ROCm to CUDA version
docker/Dockerfile.rocm
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@@ -938,7 +938,7 @@ RUN case "$(which python3)" in \
*) ;; esac
RUN --mount=type=cache,target=/root/.cache/uv \
uv pip install --system --upgrade huggingface-hub[cli]
uv pip install --system --upgrade huggingface-hub
# Install vLLM using uv (inherited from base stage)
# Note: No -U flag to avoid upgrading PyTorch ROCm to CUDA version
docker/Dockerfile.rocm_gfx1250
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@@ -671,7 +671,7 @@ RUN case "$(which python3)" in \
*) ;; esac
RUN --mount=type=cache,target=/root/.cache/uv \
uv pip install --system --upgrade huggingface-hub[cli]
uv pip install --system --upgrade huggingface-hub
# Install vLLM using uv (inherited from base stage)
# Note: No -U flag to avoid upgrading PyTorch ROCm to CUDA version
docs/getting_started/installation/gpu.rocm.inc.md
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@@ -324,7 +324,7 @@ You can find more information about vLLM's wheels in
# Install dependencies
pip install --upgrade numba \
scipy \
huggingface-hub[cli] \
huggingface-hub \
setuptools_scm
pip install -r requirements/rocm.txt
docs/models/supported_models.md
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@@ -240,7 +240,7 @@ Alternatively, you can [open an issue on GitHub](https://github.com/vllm-project
#### Download a model
If you prefer, you can use the Hugging Face CLI to [download a model](https://huggingface.co/docs/huggingface_hub/guides/cli#huggingface-cli-download) or specific files from a model repository:
If you prefer, you can use the Hugging Face CLI to [download a model](https://huggingface.co/docs/huggingface_hub/guides/cli#hf-download) or specific files from a model repository:
```bash
# Download a model
docs/usage/troubleshooting.md
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@@ -8,7 +8,7 @@ This document outlines some troubleshooting strategies you can consider. If you
## Hangs downloading a model
If the model isn't already downloaded to disk, vLLM will download it from the internet which can take time and depend on your internet connection.
It's recommended to download the model first using the [huggingface-cli](https://huggingface.co/docs/huggingface_hub/en/guides/cli) and passing the local path to the model to vLLM. This way, you can isolate the issue.
It's recommended to download the model first using the [`hf` CLI](https://huggingface.co/docs/huggingface_hub/en/guides/cli) and passing the local path to the model to vLLM. This way, you can isolate the issue.
## Hangs loading a model from disk