piper-plus-mera-multilingual (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
piper-plus-mera-multilingual.gguf	73.3 MB	2b65e6b3f6a3052918edccae89e33591d76ef5239bb27cae767a6857ba3d5deb

Usage

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

vokra-cli run --model piper-plus-mera-multilingual.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	piper-plus-mb-istft-vits2
Tensors	367
Upstream source	ayutaz/piper-plus (MIT)
Upstream licence	MIT
Licence class	permissive
Registry model id	piper-plus
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 MIT, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.

Verifying this file

shasum -a 256 piper-plus-mera-multilingual.gguf
# expect: 2b65e6b3f6a3052918edccae89e33591d76ef5239bb27cae767a6857ba3d5deb