| --- |
| license: mit |
| library_name: vokra |
| tags: |
| - vokra |
| - gguf |
| --- |
| |
| # wavtokenizer-large (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 | |
| |---|---|---| |
| | `wavtokenizer-large.gguf` | 807.2 MB | `99b7dce0426266f7f2f6615091d832cea71387ce57edfae66666143a5c33a36b` | |
|
|
| ## Usage |
|
|
| ```bash |
| # Download (any HTTP client works — the file is a plain GGUF) |
| curl -L -o wavtokenizer-large.gguf \ |
| https://huggingface.co/vokra/wavtokenizer-large/resolve/main/wavtokenizer-large.gguf |
| ``` |
|
|
| ```bash |
| vokra-cli run --model wavtokenizer-large.gguf --input input.wav |
| ``` |
|
|
| ## Provenance |
|
|
| | Field | Value | |
| |---|---| |
| | Architecture | `wavtokenizer` | |
| | Tensors | 1091 | |
| | Upstream source | novateur/WavTokenizer-large-speech-75token (single-codebook FSQ audio codec, 24 kHz, hop 320 → 75 tok/s, arXiv:2408.16532, MIT) | |
| | Upstream licence | `mit` | |
| | Licence class | `permissive` | |
| | Registry model id | `wavtokenizer-large-speech-75token` | |
| | 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 wavtokenizer-large.gguf |
| # expect: 99b7dce0426266f7f2f6615091d832cea71387ce57edfae66666143a5c33a36b |
| ``` |
|
|
