kitten-inference 0.1.1

Native KittenTTS inference runtime powered by C++ kernels

Kitten Inference

kitten-inference is the native runtime used by KittenTTS. It provides the compiled model_inference Python extension that runs KittenTTS neural-network graphs with C++ kernels.

Most users should install KittenTTS instead of installing this package directly:

pip install kittentts

KittenTTS depends on kitten-inference, so pip selects the native wheel that matches your Python version, operating system, and CPU architecture.

Direct Install

Direct installation is useful for runtime smoke tests and debugging:

pip install kitten-inference

import model_inference as mi

assert mi.set_backend("cpu")
print(mi.active_backend())

Wheel Coverage

The release publishes platform-specific wheels for the KittenTTS native runtime.

Platform	Python
Linux x86_64, glibc 2.17+ and 2.28+	CPython 3.8-3.14
Linux ARM64 / aarch64, glibc 2.17+ and 2.28+	CPython 3.8-3.14
Windows x86_64	CPython 3.8-3.14
Windows ARM64	CPython 3.9-3.14
macOS Apple Silicon / ARM64	CPython 3.8-3.14
macOS Intel / x86_64	CPython 3.8-3.14
Android ARM64 / Termux	CPython 3.13 experimental

Android is currently experimental and non-blocking for releases. The desktop and Linux wheels are the primary supported install targets for KittenTTS users.

Notes

• This package is not a standalone text-to-speech API. Use kittentts for the high-level KittenTTS(...).generate(...) interface.
• KittenTTS speed control is backed by native duration scaling exposed through InferenceModel.set_speed(...).
• The import name is model_inference.
• ARM64 wheels are built for modern ARMv8.2 dot-product-capable cores.
• CUDA wheels are not part of the public wheel matrix yet.