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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 ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
13 lines
750 B
Plaintext
13 lines
750 B
Plaintext
# vLLM 0.20+ ships an aarch64 manylinux wheel on PyPI whose Requires-Dist pins
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# torch==2.11.0 / torchvision==0.26.0 / torchaudio==2.11.0, locking an ABI-
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# consistent set with the cu130 torch wheel installed above.
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#
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# Pinned to match the cublas13 build (requirements-cublas13-after.txt) and to
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# stay deterministic on GB10 / DGX Spark: 0.24.0 carries vllm-project/vllm#45179
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# ("release cached device memory under pressure on UMA GPUs during weight
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# loading"), without which cold model loads on the Grace Blackwell unified-
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# memory architecture crash deterministically with an empty "Engine core init
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# failed" set (mudler/LocalAI#10722). Leaving this unpinned let the L4T image
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# drift onto whatever wheel was latest at build time.
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vllm==0.25.1
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