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Home/Models & Labs
Models & Labs

llamafile b12401 adds s390x and ROCm 10 support

llama.cpp Releases·November 15, 2026·high confidence

Why it matters

  • →s390x support allows local AI inference on IBM mainframes, opening enterprise data centers to llamafile.
  • →ROCm 10.0 and CUDA 13.5 updates ensure compatibility with the latest GPU hardware and drivers.
  • →Snapdragon NPU support extends viable edge deployment options beyond traditional x86 and ARM CPUs.

llamafile version b12401 has been released with expanded hardware support, notably adding Q0 quantization compatibility for IBM s390x mainframes. The update upgrades CUDA libraries to 13.5 and introduces ROCm 10.0 support for AMD GPUs on both Linux and Windows. Additional builds now include Snapdragon NPU integration on Linux and OpenVINO optimizations. Apple Silicon KleidiAI is currently disabled in this specific release. The update reinforces llamafile's position as a cross-platform inference tool capable of running on legacy and emerging architectures.

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The story around this

Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.

llama.cpp b12024 adds Snapdragon and ROCm 10 — llama.cpp Releases1llama.cpp b12405 adds CUDA 13 and ROCm 10.0 — llama.cpp Releases2llamafile b12401 adds s390x and ROCm 10 supportNov 1You are here

How we got here

  1. 1
    llama.cpp b12024 adds Snapdragon and ROCm 10

    llama.cpp Releases · November 1, 2026 · Same story

  2. 2
    llama.cpp b12405 adds CUDA 13 and ROCm 10.0

    llama.cpp Releases · November 15, 2026 · Same story

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llama.cpp b12398 optimizes Vulkan Flash Attention for AMD

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This is a routine maintenance release for llama.cpp that quietly extends hardware support to the latest NVIDIA and AMD stacks. By adding CUDA 13.5 and ROCm 10.0 binaries, it ensures local inference remains viable on cutting-edge GPUs without waiting for community forks. The build also includes OpenVINO and SYCL variants, reinforcing its role as the universal runtime for diverse accelerators. While no new model architectures are introduced, this update keeps the toolchain compatible with modern driver ecosystems.

llama.cpp Releases·Nov 15, 2026

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