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Browse files- .gitattributes +1 -0
- LICENSE +21 -0
- NOTICE +5 -0
- README.md +59 -0
- SOURCE.md +22 -0
- dac-24khz.gguf +3 -0
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dac-24khz.gguf filter=lfs diff=lfs merge=lfs -text
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LICENSE
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MIT License
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Copyright (c) 2023-present, Descript
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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NOTICE
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vokra/dac-24khz
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This artifact is a format conversion of an upstream weight.
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Upstream: descriptinc/descript-audio-codec GitHub release (prepared via dac_prepare_checkpoint.py)
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Upstream licence: MIT
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README.md
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---
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license: mit
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library_name: vokra
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tags:
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- vokra
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- gguf
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- neural-audio-codec
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---
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# dac-24khz (Vokra GGUF)
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Neural audio codec model, converted to the Vokra GGUF format for [Vokra](https://github.com/ayutaz/vokra), a zero-dependency speech-AI inference runtime.
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**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.
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## Files
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| File | Size | SHA-256 |
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|---|---|---|
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| `dac-24khz.gguf` | 287.2 MB | `c2a603c74acacbe359b0a8a7b9e9bb03ddc4e0b9e95123b8e02c6b16ddd8d4f2` |
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## Usage
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```bash
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# Download (any HTTP client works — the file is a plain GGUF)
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curl -L -o dac-24khz.gguf \
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https://huggingface.co/vokra/dac-24khz/resolve/main/dac-24khz.gguf
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```
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```bash
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# This artifact is consumed by another engine rather than run
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# standalone — see the Vokra docs for the CODEC pipeline.
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```
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## Provenance
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| Field | Value |
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|---|---|
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| Architecture | `dac` |
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| Tensors | 558 |
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| Upstream source | descriptinc/descript-audio-codec GitHub release (prepared via dac_prepare_checkpoint.py) |
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| Upstream licence | `MIT` |
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| Licence class | `permissive` |
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| Registry model id | `dac` |
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| Vokra GGUF schema | 1 |
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| Converted by | vokra-core 0.1.0-alpha.0 |
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Every row above is read out of this file's own `vokra.*` metadata, so the card cannot claim something the artifact does not carry.
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## Licence
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The weights are distributed under **MIT**, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.
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## Verifying this file
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```bash
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shasum -a 256 dac-24khz.gguf
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# expect: c2a603c74acacbe359b0a8a7b9e9bb03ddc4e0b9e95123b8e02c6b16ddd8d4f2
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```
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SOURCE.md
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# Provenance — vokra/dac-24khz
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| Field | Value |
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|---|---|
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| Upstream source | descriptinc/descript-audio-codec GitHub release (prepared via dac_prepare_checkpoint.py) |
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| Upstream licence | `MIT` |
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| Architecture | `dac` |
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| Tensors | 558 |
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| SHA-256 | `c2a603c74acacbe359b0a8a7b9e9bb03ddc4e0b9e95123b8e02c6b16ddd8d4f2` |
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| Converted by | vokra-core 0.1.0-alpha.0 |
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| GGUF schema generation | 1 |
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Every row is read from the artifact's own `vokra.*` metadata; none of it
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is supplied by hand, so this file cannot disagree with the weight it
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describes.
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## Reproducing
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```bash
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vokra-cli convert --model <kind> --input <upstream> --output dac-24khz.gguf
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shasum -a 256 dac-24khz.gguf # expect c2a603c74acacbe359b0a8a7b9e9bb03ddc4e0b9e95123b8e02c6b16ddd8d4f2
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```
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dac-24khz.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:c2a603c74acacbe359b0a8a7b9e9bb03ddc4e0b9e95123b8e02c6b16ddd8d4f2
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size 301108032
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