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- [ ] CMakeLists | ||
- [ ] GitHub reference to GGML | ||
- [ ] Generate one binary large file for the weights | ||
# bark.cpp (coming soon!) | ||
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Inference of SunoAI's bark model in pure C/C++ using [ggml](https://github.com/ggerganov/ggml). | ||
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## Description | ||
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The main goal of `bark.cpp` is to synthesize audio from a textual input with the [Bark](https://github.com/suno-ai/bark) model using 4-bit quantization on a MacBook. | ||
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Bark has essentially 4 components: | ||
- [x] Semantic model to encode the text input | ||
- [x] Coarse model | ||
- [x] Fine model | ||
- [ ] Encoder (quantizer + decoder) to generate the waveform from the tokens | ||
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## Roadmap | ||
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- [ ] Quantization | ||
- [ ] FP16 | ||
- [ ] Swift package | ||
- [ ] Swift package for iOS devices |