AI is happening. The future is updating.kitten_tts2
For the latest models please see audio.cpp project main. This is no longer maintained. Self-contained multilingual GGUF exports of KittenML/kitten-tts-2 weights at revision `f2eee74f4467855ad58fe16f1fb7b7df473263fd`. Each file includes an S3 MeanFlow decoder, speaker encoders, tokenizer, and all 48 prepared voice entries. Use an audio.cpp build containing the updated Kitten TTS 2 BF16/Q8/Q4 support. The model family is `kitten_tts2`. BF16/Q8/Q4 model-manager installations share `models/kitten-tts2-v2/`, with a distinct filename for each precision. Leave `kitten_tts2.weight_type` unset, or use `native`, to preserve each file's stored precision. Inference needs no Python or LibTorch installation.
For the latest models please see audio.cpp project main. This is no longer maintained. Self-contained multilingual GGUF exports of KittenML/kitten-tts-2 weights at revision `f2eee74f4467855ad58fe16f1fb7b7df473263fd`. Each file includes an S3 MeanFlow decoder, speaker encoders, tokenizer, and all 48 prepared voice entries. Use an audio.cpp build containing the updated Kitten TTS 2 BF16/Q8/Q4 support. The model family is `kitten_tts2`. BF16/Q8/Q4 model-manager installations share `models/kitten-tts2-v2/`, with a distinct filename for each precision. Leave `kitten_tts2.weight_type` unset, or use `native`, to preserve each file's stored precision. Inference needs no Python or LibTorch installation.