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vokra/
xcodec2

Name: xcodec2
Rating: 2.5 (20 reviews)

vokra

gguf

cc-by-nc-4.0

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xcodec2 (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`	3138.6 MB	`7ab4b94006068226b0741930081f7e149316e045511c1cddb94769e7f598698e`

Usage

bash

# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o model.gguf \
  https://huggingface.co/vokra/xcodec2/resolve/main/model.gguf

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

Provenance

Field	Value
Architecture	`xcodec2`
Tensors	1153
Upstream source	upstream distribution source (licence cc-by-nc-4.0 per source)
Upstream licence	`cc-by-nc-4.0`
Licence class	`non-commercial`
Registry model id	`xcodec2`
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 cc-by-nc-4.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.

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

The upstream weight is cc-by-nc-4.0. 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

bash

shasum -a 256 model.gguf
# expect: 7ab4b94006068226b0741930081f7e149316e045511c1cddb94769e7f598698e