htdemucs-multi (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
htdemucs-multi.gguf	320.5 MB	41c3d8ef26c94cddb1df32ea2d131bca2b0ce1d951b7fac4dc4253b835ab89f2

Usage

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

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

Provenance

Field	Value
Architecture	htdemucs_multi
Tensors	2132
Upstream source	facebook/htdemucs family (Hybrid Transformer Demucs music source separation, 4-source htdemucs_ft or 6-source htdemucs_6s variant, Rouard et al. 2023 arXiv:2211.08553, MIT)
Upstream licence	mit
Licence class	permissive
Registry model id	htdemucs_multi
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 htdemucs-multi.gguf
# expect: 41c3d8ef26c94cddb1df32ea2d131bca2b0ce1d951b7fac4dc4253b835ab89f2