musicgen-melody (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	5941.0 MB	5ab6098f84a77cb2b08ae09caef06d4a6109b7320cade1970fde073a04256b09

Usage

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

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

Provenance

Field	Value
Architecture	musicgen
Tensors	710
Upstream source	facebook/musicgen-melody (Meta AudioCraft 1.5B text-to-music LM + chroma conditioning, cc-by-nc-4.0)
Upstream licence	cc-by-nc-4.0
Licence class	non-commercial
Registry model id	musicgen-melody
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

shasum -a 256 model.gguf
# expect: 5ab6098f84a77cb2b08ae09caef06d4a6109b7320cade1970fde073a04256b09