kokoro-82m-stacked (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-stacked.gguf | 338.8 MB | 69a943a826fe93810770f1c164bbda59a0b175354899cf2e99a79f7aa22964f8 |
Usage
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o kokoro-82m-stacked.gguf \
https://huggingface.co/vokra/kokoro-82m-stacked/resolve/main/kokoro-82m-stacked.gguf
vokra-cli run --model kokoro-82m-stacked.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 | 549 |
| 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
shasum -a 256 kokoro-82m-stacked.gguf
# expect: 69a943a826fe93810770f1c164bbda59a0b175354899cf2e99a79f7aa22964f8