xtts-v2 (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	1989.3 MB	a789da752b2e4e0e8f9bc0c9b2a04de22afffebc5d93bef85b5f04101f6de279

Usage

# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o model.gguf \
  https://huggingface.co/vokra/xtts-v2/resolve/main/model.gguf

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

Provenance

Field	Value
Architecture	xtts
Tensors	1095
Upstream source	coqui/XTTS-v2 (Coqui multilingual zero-shot GPT-2 + DVAE + HiFi-GAN, coqui-public-model-license)
Upstream licence	coqui-public-model-license
Licence class	non-commercial
Registry model id	xtts-v2
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 coqui-public-model-license, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.

The Hugging Face license: tag is set to other because coqui-public-model-license is not one of Hugging Face's accepted tag values. The authoritative licence is the one named above and reproduced in the LICENSE file — not the tag.

⛔ Non-commercial — you may not use this weight commercially

The upstream weight is coqui-public-model-license. It is republished here so the model can be evaluated and used for research, and the licence is unchanged by conversion.

• Do not use this in a commercial product or service. That restriction is upstream's, not Vokra's, and Vokra cannot waive it.
• Vokra's engine is Apache-2.0 and imposes no such limit — the limit is on this weight. Other models in this organisation are permissively licensed; check each one's card.
• Vokra's runtime refuses to load a non-commercial weight unless an explicit research flag is set, so this restriction is enforced at load time rather than left to the reader.

Verifying this file

shasum -a 256 model.gguf
# expect: a789da752b2e4e0e8f9bc0c9b2a04de22afffebc5d93bef85b5f04101f6de279