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llama.cpp b11379 fixes server batch abort
llama.cpp Releaseshigh confidence
Why it matters
- →Fixes a server crash caused by batch size mismatches in inference workloads.
- →Stabilizes runtime for users running concurrent requests or larger batches.
- →Available across all major hardware backends including CUDA, ROCm, and Apple Silicon.
The llama.cpp project released build b11379, addressing a server-side stability issue where inference would abort due to batch size mismatches. The fix limits the n_batch parameter to n_ubatch, preventing layout abort errors in scenarios involving larger or variable batch sizes. This update is available across all supported platforms including CUDA 12/13, ROCm 10.0, and Apple Silicon builds. Users running llama.cpp as a local server should update to avoid potential crashes during sustained inference.
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Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1llama.cpp b11114 fixes server race conditions
llama.cpp Releases · September 22, 2026 · Same story
- 2llama.cpp b11339 fixes cache reallocation crash
llama.cpp Releases · October 2, 2026 · Same story
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