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license: other
license_name: per-codec
license_link: https://huggingface.co/BricksDisplay/codec.cpp-gguf#license
tags:
- codec.cpp
- gguf
- audio
- neural-audio-codec
---
# codec.cpp GGUFs
Neural audio codecs for [codec.cpp](https://github.com/mybigday/codec.cpp): turn
speech into discrete tokens and back, offline on CPU or GPU.
| Codec | Sample rate | Token rate | Files |
|---|---|---|---|
| [IBM DAC.speech v1.0](https://huggingface.co/ibm-research/DAC.speech.v1.0) | 24 kHz | 75 frames/s | `ibm-research--DAC.speech*.gguf` |
| [NVIDIA NeMo Nano Codec](https://huggingface.co/nvidia/nemo-nano-codec-22khz-0.6kbps-12.5fps) | 22.05 kHz | 12.5 frames/s (0.6 kbps) | `nemo-nano-codec-22khz-0.6kbps-12.5fps*.gguf` |
| [WavTokenizer large (speech)](https://huggingface.co/novateur/WavTokenizer-large-speech-75token) | 24 kHz | 75 tokens/s | `wavtokenizer-large-speech-75tokens*.gguf` |
Each codec comes in several precisions: the file without a suffix is F16
(recommended), `-F32` is full precision, `-Q8_0` / `-Q5_K_M` / `-Q4_K_M` are
smaller and faster at some quality cost.
## Run
```bash
hf download BricksDisplay/codec.cpp-gguf ibm-research--DAC.speech.gguf --local-dir codecs
./build/codec-cli encode --model codecs/ibm-research--DAC.speech.gguf --in speech.wav --out codes.npy
./build/codec-cli decode --model codecs/ibm-research--DAC.speech.gguf --codes codes.npy --out decoded.wav
```
Python (`pip install .` in a codec.cpp checkout; see
[python/README.md](https://github.com/mybigday/codec.cpp/blob/main/python/README.md)):
```python
import codec_cpp, soundfile as sf
ctx = codec_cpp.Model("codecs/ibm-research--DAC.speech.gguf").context()
pcm, sr = sf.read("speech.wav", dtype="float32")
codes = ctx.encode(pcm, sr) # int32 (n_frames, n_q)
audio, sr = ctx.decode(codes)
```
Build instructions and GPU flags are in the
[codec.cpp README](https://github.com/mybigday/codec.cpp).
These codecs are also the audio side of TTS models: there a llama.cpp LM
backbone writes the codes and codec.cpp turns them into audio (see the
`*-GGUF` TTS repos of this organization).
## License
Each codec keeps its original license: DAC.speech CDLA-Permissive-2.0, NeMo Nano Codec the NVIDIA Open Model License, WavTokenizer MIT.
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