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KittenML Releases Kitten TTS 2 Mini, Nano, and Pico Models for CPU Inference

·2026.11.14 16:11

Key point

The release includes three model sizes ranging from 7.2M to 82M parameters, all supporting 24 kHz audio output and CPU-only execution via int8 ONNX weights.

Details

  • KittenML released three new text-to-speech models: Kitten TTS 2 Mini, Nano, and Pico, designed for efficient CPU inference without PyTorch dependencies.
  • Kitten TTS 2 Mini features 82M parameters, supports 16 languages and 118 voices, and uses 82.7 MB of int8 ONNX weights.
  • Kitten TTS 2 Nano and Pico offer lighter alternatives with 17M and 7.2M parameters respectively, supporting 8 languages and 37 or 30 voices, with weights of 17.4 MB and 8.0 MB.
  • All models output 24 kHz audio and are available in both int8 ONNX format for CPU and float32 PyTorch format.
open-sourcetext-to-speechcpu-inferenceonnxhugging-facekittenml
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