---
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
```