File size: 1,530 Bytes
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license: mit
library_name: vokra
tags:
- vokra
- gguf
---
# bark (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 |
|---|---|---|
| `model.gguf` | 4259.5 MB | `fd628312ce7d8e1cbc41718741614116d5c7f08d0763f81622edbac320b208ec` |
## Usage
```bash
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o model.gguf \
https://huggingface.co/vokra/bark/resolve/main/model.gguf
```
```bash
vokra-cli run --model model.gguf --input input.wav
```
## Provenance
| Field | Value |
|---|---|
| Architecture | `bark` |
| Tensors | 758 |
| Upstream source | suno/bark |
| Upstream licence | `mit` |
| Licence class | `permissive` |
| Registry model id | `bark` |
| 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 **mit**, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.
## Verifying this file
```bash
shasum -a 256 model.gguf
# expect: fd628312ce7d8e1cbc41718741614116d5c7f08d0763f81622edbac320b208ec
```
|