--- license: cc-by-nc-4.0 library_name: vokra tags: - vokra - gguf --- # facebook-denoiser (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 | |---|---|---| | `facebook-denoiser.gguf` | 72.0 MB | `c0b23707a2f255b5eb108c5b08b92f310fede6870106e799b195282d6a375e74` | ## Usage ```bash # Download (any HTTP client works — the file is a plain GGUF) curl -L -o facebook-denoiser.gguf \ https://huggingface.co/vokra/facebook-denoiser/resolve/main/facebook-denoiser.gguf ``` ```bash vokra-cli run --model facebook-denoiser.gguf --input input.wav ``` ## Provenance | Field | Value | |---|---| | Architecture | `facebook_denoiser` | | Tensors | 48 | | Upstream source | github.com/facebookresearch/denoiser (Meta real-time speech-enhancement waveform U-Net + LSTM, Defossez et al. 2020, CC-BY-NC-4.0 — owner §3.1 sign-off required, publish requires --allow-noncommercial) | | Upstream licence | `cc-by-nc-4.0` | | Licence class | `non-commercial` | | Registry model id | `facebook_denoiser` | | 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 **cc-by-nc-4.0**, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author. ### ⛔ Non-commercial — you may not use this weight commercially The upstream weight is **cc-by-nc-4.0**. It is republished here so the model can be evaluated and used for research, and the licence is unchanged by conversion. - **Do not use this in a commercial product or service.** That restriction is upstream's, not Vokra's, and Vokra cannot waive it. - Vokra's engine is Apache-2.0 and imposes no such limit — the limit is on **this weight**. Other models in this organisation are permissively licensed; check each one's card. - Vokra's runtime refuses to load a non-commercial weight unless an explicit research flag is set, so this restriction is enforced at load time rather than left to the reader. ## Verifying this file ```bash shasum -a 256 facebook-denoiser.gguf # expect: c0b23707a2f255b5eb108c5b08b92f310fede6870106e799b195282d6a375e74 ```