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llama.cpp b11017 adds CUDA 13 and ROCm 10 builds
llama.cpp Releaseshigh confidence
Why it matters
- →Enables immediate use of llama.cpp on systems running CUDA 13 drivers.
- →Provides native ROCm 10 support, improving AMD GPU compatibility for local LLMs.
- →Reduces friction for users who cannot or prefer not to compile from source.
llama.cpp has released version b11017, adding pre-built binaries for CUDA 13 and ROCm 10.0 across Linux and Windows platforms. The release also includes updated OpenVINO and SYCL builds, alongside standard CPU variants for macOS, iOS, Android, and various Linux distributions. Notably, KleidiAI support on Apple Silicon is currently disabled in this build. This update primarily serves to maintain compatibility with the latest GPU driver ecosystems for local inference workloads.
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llama.cpp b11018 adds CUDA 13 and ROCm 10 builds
This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10. For the first time, users on cutting-edge hardware can run local models without being forced into legacy driver versions or waiting for vendor-specific optimizations. The inclusion of both CUDA 12 and 13 binaries side-by-side removes a major friction point for developers managing mixed environments. While no new model architectures are added, this infrastructure update ensures compatibility with the fastest consumer and data center GPUs hitting the market right now.
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llama.cpp b11019 fixes embedded GGUF loading bugs
This release patches a subtle but critical bug where embedding a GGUF file inside another container caused tensor data corruption due to misaligned memory mapping. The fix ensures the data section is aligned relative to the GGUF header rather than the outer file offset, preventing silent errors that could ruin inference results. It also adds support for loading LoRA adapters via FILE pointers and disables mmap with a warning when alignment issues are detected. This stabilizes llama.cpp for complex packaging scenarios where models are bundled within larger archives or custom formats.
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llama.cpp b11020 adds DeepSeek V3.2/V4 parser support
This release fixes a critical parsing gap for DeepSeek's latest models in llama.cpp. By adding message delimiters to the V3.2 and V4 parsers, it ensures chat history is handled correctly during inference. The update also ships binaries for CUDA 13.3/13.4 and ROCm 10.0, keeping hardware support current. KleidiAI on Apple Silicon remains disabled in this build, a notable omission for Mac users seeking optimized performance. It’s a necessary maintenance release that keeps local DeepSeek usage stable.
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