metadata
license: apache-2.0
library_name: vokra
tags:
- vokra
- gguf
wespeaker (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 |
42.9 MB | d2dd9114179e28d14bd7c6ec372807823f1064c4f6cdc2349a83aa652635553d |
Usage
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o model.gguf \
https://huggingface.co/vokra/wespeaker/resolve/main/model.gguf
vokra-cli run --model model.gguf --input input.wav
Provenance
| Field | Value |
|---|---|
| Architecture | wespeaker |
| Tensors | 219 |
| Upstream source | Wespeaker/wespeaker-voxceleb-resnet34-LM (ResNet34 speaker encoder, VoxCeleb + Large-Margin, apache-2.0) |
| Upstream licence | apache-2.0 |
| Licence class | permissive |
| Registry model id | wespeaker-voxceleb-resnet34-lm |
| 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 model.gguf
# expect: d2dd9114179e28d14bd7c6ec372807823f1064c4f6cdc2349a83aa652635553d