Files
LocalAI/backend/python/vllm/requirements-l4t13-after.txt
dependabot[bot] 24c16c9bb5 chore(deps): bump vllm from 0.25.0 to 0.25.1 in /backend/python/vllm (#10929)
Bumps [vllm](https://github.com/vllm-project/vllm) from 0.25.0 to 0.25.1.
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](https://github.com/vllm-project/vllm/compare/v0.25.0...v0.25.1)

---
updated-dependencies:
- dependency-name: vllm
  dependency-version: 0.25.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-18 21:37:41 +02:00

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# vLLM 0.20+ ships an aarch64 manylinux wheel on PyPI whose Requires-Dist pins
# torch==2.11.0 / torchvision==0.26.0 / torchaudio==2.11.0, locking an ABI-
# consistent set with the cu130 torch wheel installed above.
#
# Pinned to match the cublas13 build (requirements-cublas13-after.txt) and to
# stay deterministic on GB10 / DGX Spark: 0.24.0 carries vllm-project/vllm#45179
# ("release cached device memory under pressure on UMA GPUs during weight
# loading"), without which cold model loads on the Grace Blackwell unified-
# memory architecture crash deterministically with an empty "Engine core init
# failed" set (mudler/LocalAI#10722). Leaving this unpinned let the L4T image
# drift onto whatever wheel was latest at build time.
vllm==0.25.1