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llama.cpp b11006 adds Hexagon K-Quants
llama.cpp Releaseshigh confidence
Why it matters
- →Enables Q4_K/Q6_K quantization on Qualcomm Hexagon DSPs for better mobile accuracy.
- →Reduces the performance gap between CPU and specialized mobile AI accelerators.
- →Provides official binaries, lowering the barrier for Android edge deployment.
The llama.cpp project has released version b11006, featuring new support for K-Quants (Q4_K and Q6_K) on Qualcomm Hexagon DSPs. The update implements specific kernels for these quantization formats, authored in collaboration with Qualcomm engineer Max Krasnyansky. This release also includes standard binaries for CUDA 12/13, ROCm 10.0, and various CPU architectures across Linux, Windows, and macOS. The addition marks a significant step toward enabling higher-fidelity model inference on mobile hardware.
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llama.cpp b11000 fixes critical RCE in server
This release patches a critical remote code execution vulnerability in the llama.cpp server that allowed unauthenticated attackers to hijack memory via dangling pointers. The flaw stemmed from caching compute graphs that referenced freed buffers, enabling heap corruption and arbitrary code execution through subsequent tensor commands. By discarding cached graphs when buffers are freed, the fix forces a safe fallback to full recomputation without changing the API. This is a vital security update for anyone running the llama.cpp server remotely, closing a direct path to system compromise.
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