---
license: apache-2.0
library_name: vokra
tags:
  - vokra
  - gguf
---

# focalcodec-50hz (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 |
|---|---|---|
| `focalcodec-50hz.gguf` | 542.2 MB | `3d19613193fe8cd4f3725209fa83c278e33d8b1e96fde43594b6c4328cf18d93` |

## Usage

```bash
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o focalcodec-50hz.gguf \
  https://huggingface.co/vokra/focalcodec-50hz/resolve/main/focalcodec-50hz.gguf
```

```bash
vokra-cli run --model focalcodec-50hz.gguf --input input.wav
```

## Provenance

| Field | Value |
|---|---|
| Architecture | `focalcodec` |
| Tensors | 354 |
| Upstream source | lucadellalib/focalcodec_50hz (FocalCodec 50 Hz single-codebook audio codec, apache-2.0; base wavlm-large is MIT) |
| Upstream licence | `apache-2.0` |
| Licence class | `permissive` |
| Registry model id | `focalcodec-50hz` |
| 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 focalcodec-50hz.gguf
# expect: 3d19613193fe8cd4f3725209fa83c278e33d8b1e96fde43594b6c4328cf18d93
```