metadata
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: turn speech into discrete tokens and back, offline on CPU or GPU.
| Codec | Sample rate | Token rate | Files |
|---|---|---|---|
| IBM DAC.speech v1.0 | 24 kHz | 75 frames/s | ibm-research--DAC.speech*.gguf |
| NVIDIA NeMo Nano Codec | 22.05 kHz | 12.5 frames/s (0.6 kbps) | nemo-nano-codec-22khz-0.6kbps-12.5fps*.gguf |
| WavTokenizer large (speech) | 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
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
Build instructions, GPU flags and the Python API are in the codec.cpp README.
License
Each codec keeps its original license: DAC.speech CDLA-Permissive-2.0, NeMo Nano Codec the NVIDIA Open Model License, WavTokenizer MIT.