Three new Kitten TTS models – smallest less than 25MB
Kitten TTS (https://github.com/KittenML/KittenTTS) is an open-source series of tiny and expressive text-to-speech models for on-device applications. We had a thread last year here: https://news.ycombinator.com/item?id=44807868. Today we're releasing three new models with 80M, 40M and 14M parameters. The largest model (80M) has the highest quality. The 14M variant reaches new SOTA in expressivity among similar sized models, despite being <25MB in size. This release is a major upgrade from the previous one and supports English text-to-speech applications in…
In plain words
Kitten TTS is an open-source series of text-to-speech models designed for on-device applications. It offers three models with 80M, 40M, and 14M parameters, with the smallest weighing less than 25MB. The models support English in eight voices and are optimized to run on resource-constrained devices like Raspberry Pi, smartphones, wearables, and browsers using ONNX runtime with int8 and fp16 quantization. Developers building applications requiring local, expressive speech synthesis can deploy these models without cloud dependencies.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Kitten TTS (https://github.com/KittenML/KittenTTS) is an open-source series of tiny and expressive text-to-speech models for on-device applications. We had a thread last year here: https://news.ycombinator.com/item?id=44807868. Today we're releasing three new models with 80M, 40M and 14M parameters. The largest model (80M) has the highest quality. The 14M variant reaches new SOTA in expressivity among similar sized models, despite being <25MB in size. This release is a major upgrade from the previous one and supports English text-to-speech applications in eight voices: four male and four female. Here's a short demo: https://www.youtube.com/watch?v=ge3u5qblqZA. Most models are quantized to int8 + fp16, and they use ONNX for runtime. Our models are designed to run anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! This release aims to bridge the gap between on-device and cloud models for tts applications. Multi-lingual model release is coming soon. On-device AI is bottlenecked by one thing: a lack of tiny models that actually perform. Our goal is to open-source more models to run production-ready voice agents and apps entirely on-device. We would love your feedback!
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