The open‑source llama.cpp library ships a new binary with reduced AVX2 tiled accumulators, improving CPU performance.
NoteBy OossaPublished by Oossa: 1 min read
The ggml‑org team released llama.cpp version b11688 on 2026-10-16. The update adds a CPU‑only change that reduces AVX2 tiled accumulators, a tweak the project says speeds up inference. Pre‑built binaries for macOS, iOS, Linux, Vulkan and CUDA are provided for a range of hardware. The change is labeled as assisted by Codex, the code‑generation model from OpenAI.
Developers can run llama.cpp models faster on AVX2 CPUs without rebuilding the code.
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