loom-ai-org/kokoro-loom

Kokoro-82M

hexgrad's Kokoro-82M TTS model, exported for loom.cpp. Takes phoneme ids, not text.

This is a loom.cpp export: a single self-describing GGUF that carries its own graph topologies, tokenizer (if any) and driver script, produced by loom-exporter.

Original model

Exported from hexgrad/Kokoro-82M. Weights are unmodified; this repo packages the same parameters into loom.cpp's GGUF format.

License

apache-2.0, inherited from the base model above.

Language(s)

en

upstream's own language: tag is en; the model card additionally documents 8 languages / 54 voices

Usage

Run it with loom-py -- loom-py-rt on PyPI:

pip install loom-py-rt[hub]

import loom

model = loom.Model.from_pretrained("loom-ai-org/kokoro-loom")
# kokoro-82m takes phoneme ids, not text -- see model.driver_source for the exact driver inputs.
audio = model.infer(tokens=[16, 40, 22, 30, 12, 3], n_steps=4, seed=1234)

model.driver_source prints the exact driver script this GGUF embeds, including a header comment documenting every argument model.infer()/model.generate() accepts for this model.

Files

• kokoro-82m.gguf -- the model, exported with loom-exporter.