llama.cpp Release b12097 Adds Built-in Chatterbox TTS Support
llama.cpp release b12097 introduces built-in Chatterbox Text-to-Speech (TTS) and voice support via pull request #30993. This update expands the core capabilities of the library beyond large language models into speech synthesis. This addition expands llama.cpp from a pure LLM inference engine into a more versatile multimodal AI tool running locally. It allows developers and local AI enthusiasts to integrate speech generation directly alongside text generation within the same lightweight ecosystem. The update, co-authored by contributors including Pascal and Sigbjørn Skjæret from Hugging Face, adds model and multimodal (mtmd) support for Chatterbox TTS. The release also includes standard multi-platform precompiled binaries across macOS, Linux, and Android with various hardware acceleration backends.
## BACKGROUND
llama.cpp is an open-source software library that performs inference on various large language models like Meta's Llama while co-developed alongside the GGML tensor library. It serves as the core local inference engine for many popular tools and bridges efficient machine learning workloads across diverse consumer hardware.