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vokra/
kokoro-82m

Name: kokoro-82m
Availability: InStock

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kokoro-82m (Vokra GGUF)

Text to speech model, converted to the Vokra GGUF format for Vokra, a zero-dependency speech-AI inference runtime.

This is a conversion, not a new model. The weights are the upstream ones; Vokra re-packages them so its runtime can memory-map them directly. Credit for the model belongs upstream — see Source below.

Files

File	Size	SHA-256
`kokoro-82m.gguf`	312.0 MB	`ea83469a2471e3870d36e177f8d28a47eb735f022b6b2e68496795c748c80f9c`

Usage

bash

# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o kokoro-82m.gguf \
  https://huggingface.co/vokra/kokoro-82m/resolve/main/kokoro-82m.gguf

vokra-cli run --model kokoro-82m.gguf --text "こんにちは" --output out.wav

Text input needs a G2P front-end; see the model notes below for which one this voice expects.

Provenance

Field	Value
Architecture	`kokoro-82m-istftnet`
Tensors	548
Upstream source	hexgrad/Kokoro-82M (Apache-2.0)
Upstream licence	`Apache-2.0`
Licence class	`permissive`
Registry model id	`kokoro-82m`
Vokra GGUF schema	1
Converted by	vokra-core 0.1.0-alpha.0

Every row above is read out of this file's own vokra.* metadata, so the card cannot claim something the artifact does not carry.

Licence

The weights are distributed under Apache-2.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.

Verifying this file

bash

shasum -a 256 kokoro-82m.gguf
# expect: ea83469a2471e3870d36e177f8d28a47eb735f022b6b2e68496795c748c80f9c