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  ```
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  ## Available DistilCodec models
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- 🤗 links to the Huggingface model hub.
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- |Model Version| Huggingface | Corpus | Token/s | Domain | Open-Source |
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- |-----------------------|---------|---------------|---------------|-----------------------------------|---------------|
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- | DistilCodec-v1.0 | [🤗](https://huggingface.co/IDEA-Emdoor/DistilCodec-v1.0) | Universal Audio | 93 | Audiobook、Speech、Audio Effects | √ |
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  ## References
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  The overall training pipeline of DistilCodec draws inspiration from AcademiCodec, while its encoder and decoder design is adapted from fish-speech. The Vector Quantization (VQ) component implements GRFVQ using the vector-quantize-pytorch framework. These three exceptional works have provided invaluable assistance in our implementation of DistilCodec. Below are links to these reference projects:
 
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  ```
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  ## Available DistilCodec models
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+ Huggingface links to the Huggingface model hub.
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+ |Model Version| Huggingface | Corpus | Token/s | Domain |
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+ |-----------------------|---------|---------------|---------------|-----------------------------------|
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+ | DistilCodec-v1.0 | [HF](https://huggingface.co/IDEA-Emdoor/DistilCodec-v1.0) | Universal Audio | 93 | Audiobook、Speech、Audio Effects |
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  ## References
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  The overall training pipeline of DistilCodec draws inspiration from AcademiCodec, while its encoder and decoder design is adapted from fish-speech. The Vector Quantization (VQ) component implements GRFVQ using the vector-quantize-pytorch framework. These three exceptional works have provided invaluable assistance in our implementation of DistilCodec. Below are links to these reference projects: