speecht5-hifigan (Vokra GGUF)

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
model.gguf	48.3 MB	96a262c6cd5b222feaca490486c10d9f6d2d9e274f4c2b35e38ce670bcf4a6bc

Usage

# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o model.gguf \
  https://huggingface.co/vokra/speecht5-hifigan/resolve/main/model.gguf

vokra-cli run --model model.gguf --input input.wav

Provenance

Field	Value
Architecture	speecht5_hifigan
Tensors	158
Upstream source	microsoft/speecht5_hifigan (SpeechT5 HiFi-GAN vocoder, 16 kHz, 80-band mel, MIT)
Upstream licence	mit
Licence class	permissive
Registry model id	speecht5-hifigan
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 model.gguf
# expect: 96a262c6cd5b222feaca490486c10d9f6d2d9e274f4c2b35e38ce670bcf4a6bc