sepformer-libri3mix (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 โ€” see Source below.

Files

File Size SHA-256
sepformer-libri3mix.gguf 108.0 MB 5c560c27217e1037bbd150edbe29056d1c2fa7eaaaaeaa81fc59701d030bc2ca

Usage

# Download (any HTTP client works โ€” the file is a plain GGUF)
curl -L -o sepformer-libri3mix.gguf \
  https://huggingface.co/vokra/sepformer-libri3mix/resolve/main/sepformer-libri3mix.gguf
vokra-cli run --model sepformer-libri3mix.gguf --input input.wav

Provenance

Field Value
Architecture sepformer
Tensors 417
Upstream source speechbrain/sepformer-libri3mix (SepFormer 3-speaker cocktail-party separation, LibriMix corpus CC-BY-4.0, apache-2.0)
Upstream licence apache-2.0
Licence class permissive
Registry model id sepformer-libri3mix
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 apache-2.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.

Verifying this file

shasum -a 256 sepformer-libri3mix.gguf
# expect: 5c560c27217e1037bbd150edbe29056d1c2fa7eaaaaeaa81fc59701d030bc2ca
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GGUF
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