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The L4T13 vllm backend pulled torch / torchvision / torchaudio / vllm from pypi.jetson-ai-lab.io's sbsa/cu130 mirror via [tool.uv.sources] with no version pins. That mirror started shipping torch 2.11.0 next to a vllm-0.20.0+cu130 wheel that was still compiled against torch 2.10's c10 ABI, so uv landed on the mismatched pair and vllm crashed at import: ImportError: vllm/_C.abi3.so: undefined symbol: _ZN3c1013MessageLoggerC1EPKciib (c10::MessageLogger's constructor signature changed between torch 2.10 and 2.11; the vllm wheel referenced the 2.10 form, the installed libc10.so exported only the 2.11 form.) Since torch 2.11 (April 2026) PyPI publishes its own aarch64 + cu130 manylinux wheels, and vllm 0.20.0 ships an aarch64 wheel whose Requires- Dist locks torch==2.11.0 / torchvision==0.26.0 / torchaudio==2.11.0. That makes uv's resolver produce an ABI-consistent set automatically, so the mirror and the [tool.uv.sources] pinning are no longer needed. flash-attn is dropped from the dep list: PyPI has no aarch64 wheel, but vLLM 0.20+ already bundles its own vllm_flash_attn (fa2 + fa3) inside the main wheel, so the Dao-AILab package isn't required at runtime. Reference: https://pytorch.org/blog/vllm-and-pytorch-work-together-to-improve-the-developer-experience-on-aarch64/ Assisted-by: Claude:claude-opus-4-7 [Read] [Edit] [Write] [Bash] [WebFetch] Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Creating a separate environment for the vllm project
make vllm