KittenML/kitten-tts-2

text-to-speech model by KittenML

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A 1.7B speech language model with in-context voice cloning. It reads text and writes S3 codec tokens, which a vocoder turns into 24 kHz audio. Everything the model needs is in this repository, so no Hugging Face login is required. m.availablevoices lists all 115. Bella, Jasper, Luna, Bruno, Rosie, Hugo, Kiki and Leo are the same speakers as in KittenTTS 0.8, so existing code keeps working. Voices named after a person are English. The rest are named for the language they speak followed by what they are — SpanishAbuela, JapaneseTrainConductor, RussianBabushka — and are how you reach those languages, since the voice is what carries the accent. Nine older entries carry a bare language name: Arabic, Chinese, French, German, Hindi, Italian, Portuguese, Russian, Spanish. Sixteen languages have a named voice: Arabic, Chinese, Dutch, French, German, Hindi, Indonesian, Italian, Japanese, Korean, Polish, Portuguese, Russian, Spanish, Turkish, and English. Pass normalize=False for…

KittenML/kitten-tts-2 on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-11-01T04:17:36.139Z

Inside the original model card — Document outline
  1. KittenTTS 2
  2. Voices
  3. Expression controls
  4. Weight variants
  5. Decoders
  6. What is in here
  7. Running on CPU
  8. Requirements
  9. License

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Model overview

KittenML/kitten-tts-2 is a text-to-speech model repository published by KittenML on Hugging Face. A library was not reported.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-to-speech
Library
Not reported
Recent downloads (30 days)
71,024
Cumulative likes
205
Hugging Face trending score
22
Reported safetensors parameters
Not reported
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2026-09-30T00:43:12.000Z
Last modified
2026-10-23T22:04:46.000Z

Compatibility and lineage

Language coverage was not reported.

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:52:33.137Z. Daily imports are snapshots, not real-time monitoring.

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