sepformer-whamr16k (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
sepformer-whamr16k.gguf	107.8 MB	b69a2ac17d85b7414aee84bbd944e02c0166753260730697bd6d42c7947b8019

Usage

# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o sepformer-whamr16k.gguf \
  https://huggingface.co/vokra/sepformer-whamr16k/resolve/main/sepformer-whamr16k.gguf

vokra-cli run --model sepformer-whamr16k.gguf --input input.wav

Provenance

Field	Value
Architecture	sepformer
Tensors	417
Upstream source	speechbrain/sepformer-whamr16k (SepFormer dereverb + denoise, WHAMR! 16 kHz, apache-2.0)
Upstream licence	apache-2.0
Licence class	permissive
Registry model id	sepformer-whamr16k
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-whamr16k.gguf
# expect: b69a2ac17d85b7414aee84bbd944e02c0166753260730697bd6d42c7947b8019