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Home/Coding Tools
Coding Tools

llama.cpp b11675 adds mtmd_audio_stream and Voxtral support

llama.cpp Releases·October 16, 2026·high confidence

Why it matters

  • →Enables real-time audio streaming with the new mtmd_audio_stream feature.
  • →Adds native support for Voxtral-realtime, expanding multimodal model options.
  • →Includes CUDA 13 builds, reducing driver compatibility issues for NVIDIA users.

llama.cpp has released version b11675, introducing mtmd_audio_stream functionality and support for the Voxtral-realtime model. The build includes CUDA 13 (13.4) libraries for Linux and Windows, alongside ROCm 10.0 and OpenVINO support. macOS KleidiAI builds are currently disabled pending review. This update enables developers to integrate real-time audio processing into local inference workflows without external dependencies.

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llama.cpp b9751 Release Expands Platform Support — llama.cpp Releases1Llama.cpp b10326 Release Enhances Audio Processing — llama.cpp Releases2llama.cpp b11675 adds mtmd_audio_stream and Voxtral supportJun 22You are here

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  1. 1
    llama.cpp b9751 Release Expands Platform Support

    llama.cpp Releases · June 22, 2026 · Same story

  2. 2
    Llama.cpp b10326 Release Enhances Audio Processing

    llama.cpp Releases · August 8, 2026 · Same story

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llama.cpp b11675 adds mtmd_audio_stream and Voxtral support

3 developments

  1. Oct 16 · llama.cpp Releases
    llama.cpp b11675 adds mtmd_audio_stream and Voxtral support (This article)
  2. Oct 24 · llama.cpp Releases
    llama.cpp adds Soprano TTS support↳ llama.cpp adds Soprano TTS support
  3. Oct 28 · llama.cpp Releases
    llama.cpp adds /v1/realtime API for live voice↳ llama.cpp b11946 adds /v1/realtime API for live streaming conversation and transcription compatible with OpenAI's realtime protocol

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llama.cpp b12022 adds ROCm 10 and Snapdragon support

This release quietly cements llama.cpp as the universal inference runtime by finally bringing ROCm 10.0 to Linux and Windows alongside CUDA 13.4, effectively closing the hardware gap for AMD users who were previously left behind. The inclusion of native Snapdragon support on Linux marks a significant step toward running local LLMs on ARM-based mobile chips without emulation overhead. While KleidiAI on Apple Silicon is disabled in this build, the broader expansion to diverse accelerators ensures that developers aren't locked into NVIDIA ecosystems anymore.

llama.cpp Releases·Nov 1, 2026
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llama.cpp b12023 fixes shared prefix bug

This release addresses a specific inference artifact where decision prefixes were incorrectly bleeding into output embeddings. By capping shared prefixes at the first output position, llama.cpp ensures that option tokens remain distinct for parent and child tasks. This is a targeted fix for multi-step reasoning or voting workflows rather than a performance boost. It stabilizes complex generation patterns without changing the underlying model architecture.

llama.cpp Releases·Nov 1, 2026
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llama.cpp b12024 adds Snapdragon and ROCm 10

This release quietly expands llama.cpp's hardware support to include Qualcomm Snapdragon devices with CPU, Adreno GPU, and Hexagon NPU acceleration. It also updates ROCm to version 10.0 for both Linux and Windows, keeping AMD users in step with the latest driver stack. CUDA builds now default to 13.4 libraries alongside 12.x options, reflecting the industry's gradual shift toward newer NVIDIA toolkits. While no new model architectures are introduced, the binary matrix grows significantly, ensuring local inference remains viable on a wider array of edge and server hardware.

llama.cpp Releases·Nov 1, 2026

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