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llama.cpp adds Soprano TTS support
llama.cpp Releaseshigh confidence
Why it matters
- →Enables fully offline text-to-speech generation without relying on cloud APIs.
- →Expands llama.cpp's utility beyond LLMs into multimodal audio tasks.
- →Provides pre-built binaries for AMD (ROCm) and NVIDIA (CUDA 12/13), simplifying deployment.
The llama.cpp project has released build b11850, adding support for the Soprano-80M text-to-speech model within its mtmd (multi-modal) framework. The update integrates a Qwen3 backbone with a Vocos decoder, allowing users to generate audio locally via a generation-only multimodal projection layer. The release includes pre-compiled binaries across major platforms, including Linux (CUDA 12/13, ROCm 10.0), macOS (Apple Silicon), and Windows, ensuring broad hardware compatibility for offline voice synthesis.
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Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1llama.cpp b10311 Release Enhances TTS Generation
llama.cpp Releases · August 8, 2026 · Same story
- 2llama.cpp b10369 release enhances Pocket-TTS
llama.cpp Releases · August 12, 2026 · Same story
- 3BreezeTTS2: Real-time local voice synthesis
Sam Witteveen · August 31, 2026 · Related
- 4Ollama adds local TTS with Phonon and MLX acceleration
Ollama Blog · October 24, 2026 · Related
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Open the full story →llama.cpp b11675 adds mtmd_audio_stream and Voxtral support
3 developments
- Oct 16 · llama.cpp Releases
llama.cpp b11675 adds mtmd_audio_stream and Voxtral support - Oct 24 · llama.cpp Releases
llama.cpp adds Soprano TTS support (This article)↳ llama.cpp adds Soprano TTS support - 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.
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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.
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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.
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