Qwen3-TTS Voice Cloning Support Merged into Mainline llama.cpp
Voice cloning and text-to-speech support using the Qwen3-TTS-12Hz-1.7B-Base model in GGUF format has been officially merged into the mainline llama.cpp repository. Users can now generate audio and clone voices from a three-second WAV or MP3 reference file across 10 languages using the llama-tts binary. Integrating native voice cloning into the widely-used llama.cpp runtime simplifies the process of adding local, cross-platform speech output to existing AI applications. It reduces the reliance on external, specialized C++ implementations, making local audio generation more accessible. The current implementation only supports the 1.7B Base model and introduces a breaking change to the existing llama-tts binary, while the HTTP /tts server endpoint remains a draft pull request. Additionally, performance and quality comparisons between this implementation and dedicated ports like qwen3-tts.cpp are still pending.
## BACKGROUND
llama.cpp is a popular open-source LLM inference engine written in C/C++ that allows running models locally on consumer hardware using the GGUF file format. Qwen3-TTS is an open-source text-to-speech model family developed by Alibaba Cloud's Qwen team, designed for expressive speech generation and voice cloning.