| --- |
| license: apache-2.0 |
| library_name: vokra |
| tags: |
| - vokra |
| - gguf |
| --- |
| |
| # ten-vad (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 | |
| |---|---|---| |
| | `ten-vad.gguf` | 0.3 MB | `a0c5f7a89569dca5fa06de4050768cddf6cd456ddca785a3eb241699528c3f04` | |
|
|
| ## Usage |
|
|
| ```bash |
| # Download (any HTTP client works — the file is a plain GGUF) |
| curl -L -o ten-vad.gguf \ |
| https://huggingface.co/vokra/ten-vad/resolve/main/ten-vad.gguf |
| ``` |
|
|
| ```bash |
| vokra-cli run --model ten-vad.gguf --input input.wav |
| ``` |
|
|
| ## Provenance |
|
|
| | Field | Value | |
| |---|---| |
| | Architecture | `ten_vad` | |
| | Tensors | 19 | |
| | Upstream source | github.com/TEN-framework/ten-vad (compact ~306 KB LSTM/GRU VAD + LPCNet-derived DSP front-end, Apache-2.0 main + BSD-3-Clause front-end — NOTICE attribution required for LPCNet copyright when redistributing binaries embedding the front-end) | |
| | Upstream licence | `apache-2.0` | |
| | Licence class | `permissive` | |
| | Registry model id | `ten_vad` | |
| | 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 ten-vad.gguf |
| # expect: a0c5f7a89569dca5fa06de4050768cddf6cd456ddca785a3eb241699528c3f04 |
| ``` |
|
|
