campplus-speaker-encoder (Vokra GGUF)

Speaker embedding model, 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
campplus.gguf	26.4 MB	c760971dc698fe7bfc5b9af9a4ba3b1ed1668b6c7a4e19086836b41e14285bea

Usage

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

# 192-d speaker embedding
vokra-cli run --model campplus.gguf --input a.wav

# Cosine similarity between two utterances
vokra-cli run --model campplus.gguf --input a.wav --compare b.wav

Provenance

Field	Value
Architecture	campplus
Tensors	619
Upstream source	iic/speech_campplus via ayousanz/campplus-onnx (Apache-2.0)
Upstream licence	Apache-2.0
Licence class	permissive
Registry model id	campplus
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 campplus.gguf
# expect: c760971dc698fe7bfc5b9af9a4ba3b1ed1668b6c7a4e19086836b41e14285bea