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

# frcrn (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 |
|---|---|---|
| `frcrn.gguf` | 54.9 MB | `04b8810e3f9e6391d9b95158fc34a2050bcac8618a3b25deb534a1b9cd42d7b6` |

## Usage

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

```bash
vokra-cli run --model frcrn.gguf --input input.wav
```

## Provenance

| Field | Value |
|---|---|
| Architecture | `frcrn` |
| Tensors | 812 |
| Upstream source | alibabasglab/FRCRN (Complex U-Net + frequency-recurrent LSTM, DNS Challenge 2022, apache-2.0; also distributed via modelscope/ClearerVoice-Studio) |
| Upstream licence | `apache-2.0` |
| Licence class | `permissive` |
| Registry model id | `frcrn` |
| 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 frcrn.gguf
# expect: 04b8810e3f9e6391d9b95158fc34a2050bcac8618a3b25deb534a1b9cd42d7b6
```