| --- |
| license: apache-2.0 |
| library_name: vokra |
| tags: |
| - vokra |
| - gguf |
| --- |
| |
| # xvector (Vokra GGUF) |
|
|
| Converted to the Vokra GGUF format for [Vokra](https://github.com/ayutaz/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 | |
| |---|---|---| |
| | `xvector.gguf` | 31.2 MB | `a1aaad3efe781a45683cdec08bc0b4d5c7618f613ed3241be0d7230e6b28981a` | |
|
|
| ## Usage |
|
|
| ```bash |
| # Download (any HTTP client works — the file is a plain GGUF) |
| curl -L -o xvector.gguf \ |
| https://huggingface.co/vokra/xvector/resolve/main/xvector.gguf |
| ``` |
|
|
| ```bash |
| vokra-cli run --model xvector.gguf --input input.wav |
| ``` |
|
|
| ## Provenance |
|
|
| | Field | Value | |
| |---|---| |
| | Architecture | `xvector` | |
| | Tensors | 46 | |
| | Upstream source | speechbrain/spkrec-xvect-voxceleb (TDNN X-vector speaker encoder, apache-2.0) | |
| | Upstream licence | `apache-2.0` | |
| | Licence class | `permissive` | |
| | Registry model id | `spkrec-xvect-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 xvector.gguf |
| # expect: a1aaad3efe781a45683cdec08bc0b4d5c7618f613ed3241be0d7230e6b28981a |
| ``` |
|
|
