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vokra/
ecapa-tdnn

Name: ecapa-tdnn
Availability: InStock

vokra

gguf

apache-2.0

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ecapa-tdnn (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`	79.4 MB	`207cebb8ee3da5e306b05d782215411954a2d8ca76ecd9d32b7ec52ffaaa5fc3`

Usage

bash

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

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

Provenance

Field	Value
Architecture	`ecapa_tdnn`
Tensors	200
Upstream source	speechbrain/spkrec-ecapa-voxceleb (apache-2.0 end-to-end)
Upstream licence	`apache-2.0`
Licence class	`permissive`
Registry model id	`spkrec-ecapa-voxceleb`
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

bash

shasum -a 256 model.gguf
# expect: 207cebb8ee3da5e306b05d782215411954a2d8ca76ecd9d32b7ec52ffaaa5fc3