Instructions to use audio-cpp/audio.cpp-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use audio-cpp/audio.cpp-gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="audio-cpp/audio.cpp-gguf", filename="HTDemucs-GGUF/htdemucs-f16.gguf", )
llm.create_chat_completion( messages = "\"The answer to the universe is 42\"" )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use audio-cpp/audio.cpp-gguf with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf audio-cpp/audio.cpp-gguf:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf audio-cpp/audio.cpp-gguf:UD-Q4_K_XL
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf audio-cpp/audio.cpp-gguf:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf audio-cpp/audio.cpp-gguf:UD-Q4_K_XL
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf audio-cpp/audio.cpp-gguf:UD-Q4_K_XL # Run inference directly in the terminal: ./llama-cli -hf audio-cpp/audio.cpp-gguf:UD-Q4_K_XL
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf audio-cpp/audio.cpp-gguf:UD-Q4_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf audio-cpp/audio.cpp-gguf:UD-Q4_K_XL
Use Docker
docker model run hf.co/audio-cpp/audio.cpp-gguf:UD-Q4_K_XL
- LM Studio
- Jan
- Ollama
How to use audio-cpp/audio.cpp-gguf with Ollama:
ollama run hf.co/audio-cpp/audio.cpp-gguf:UD-Q4_K_XL
- Unsloth Studio
How to use audio-cpp/audio.cpp-gguf with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for audio-cpp/audio.cpp-gguf to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for audio-cpp/audio.cpp-gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for audio-cpp/audio.cpp-gguf to start chatting
- Atomic Chat new
- Docker Model Runner
How to use audio-cpp/audio.cpp-gguf with Docker Model Runner:
docker model run hf.co/audio-cpp/audio.cpp-gguf:UD-Q4_K_XL
- Lemonade
How to use audio-cpp/audio.cpp-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull audio-cpp/audio.cpp-gguf:UD-Q4_K_XL
Run and chat with the model
lemonade run user.audio.cpp-gguf-UD-Q4_K_XL
List all available models
lemonade list
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for audio-cpp/audio.cpp-gguf to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for audio-cpp/audio.cpp-gguf to start chattingaudio.cpp GGUF Model Packages
This directory contains audio.cpp-native GGUF conversions of multiple speech models. These files are intended for use with audio.cpp.
For conversion details, supported layouts, direct-file loading, sidecar embedding, and the latest compatibility notes, see the audio.cpp GGUF guide:
!!! Automated audio checks are intentionally strict and may flag length, log-mel, or transcript drift that can still sound acceptable to human listeners. Validate the exact file, backend, and route you plan to use. These converted weights are provided as-is; use them at your own risk.
Files
| Directory | Files | audio.cpp family | Original model license |
|---|---|---|---|
HTDemucs-GGUF |
htdemucs-f16.gguf, htdemucs-q8_0.gguf |
htdemucs |
See original model package |
Higgs-Audio-v3-STT-GGUF |
higgs-audio-v3-stt-f16.gguf, higgs-audio-v3-stt-q8_0.gguf |
higgs_audio_stt |
Apache-2.0 |
IndexTTS2-GGUF |
index-tts2-orig.gguf, index-tts2-f16.gguf, index-tts2-q8_0.gguf |
index_tts2 |
bilibili Model Use License Agreement |
Irodori-TTS-500M-v3-GGUF |
irodori-tts-500m-v3-f16.gguf, irodori-tts-500m-v3-q8_0.gguf |
irodori_tts |
MIT |
Irodori-TTS-600M-v3-VoiceDesign-GGUF |
irodori-tts-600m-v3-voicedesign-f16.gguf, irodori-tts-600m-v3-voicedesign-q8_0.gguf |
irodori_tts |
MIT |
MOSS-TTS-Local-v1.5-GGUF |
moss-tts-local-v1.5-bf16.gguf, moss-tts-local-v1.5-q8_0.gguf |
moss_tts_local |
Apache-2.0 |
MOSS-TTS-Nano-100M-GGUF |
moss-tts-nano-100m-bf16.gguf, moss-tts-nano-100m-q8_0.gguf |
moss_tts_nano |
Apache-2.0 |
Mel-Band-RoFormer-GGUF |
mel-band-roformer-f16.gguf, mel-band-roformer-q8_0.gguf |
mel_band_roformer |
MIT |
MioCodec-25Hz-44.1kHz-v2-GGUF |
miocodec-25hz-44khz-v2-orig.gguf, miocodec-25hz-44khz-v2-f16.gguf, miocodec-25hz-44khz-v2-q8_0.gguf |
miocodec |
MIT |
MioTTS-1.7B-GGUF |
miotts-1.7b-orig.gguf, miotts-1.7b-bf16.gguf, miotts-1.7b-q8_0.gguf |
miotts |
Apache-2.0 |
Nemotron-3.5-ASR-Streaming-0.6B-GGUF |
nemotron-3.5-asr-streaming-0.6b-f16.gguf, nemotron-3.5-asr-streaming-0.6b-q8_0.gguf |
nemotron_asr |
OpenMDW-1.1 |
OmniVoice-GGUF |
omnivoice-f16.gguf, omnivoice-q8_0.gguf |
omnivoice |
Apache-2.0 |
Qwen3-ASR-0.6B-GGUF |
qwen3-asr-0.6b-f16.gguf, qwen3-asr-0.6b-q8_0.gguf |
qwen3_asr |
Apache-2.0 |
Qwen3-ASR-1.7B-GGUF |
qwen3-asr-1.7b-f16.gguf, qwen3-asr-1.7b-q8_0.gguf |
qwen3_asr |
Apache-2.0 |
Qwen3-ForcedAligner-0.6B-GGUF |
qwen3-forced-aligner-0.6b-f16.gguf, qwen3-forced-aligner-0.6b-q8_0.gguf |
qwen3_forced_aligner |
Apache-2.0 |
Qwen3-TTS-12Hz-1.7B-Base-GGUF |
qwen3-tts-12hz-1.7b-base-orig.gguf, qwen3-tts-12hz-1.7b-base-bf16.gguf, qwen3-tts-12hz-1.7b-base-q8_0.gguf |
qwen3_tts |
Apache-2.0 |
Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF |
qwen3-tts-12hz-1.7b-customvoice-bf16.gguf, qwen3-tts-12hz-1.7b-customvoice-q8_0.gguf |
qwen3_tts |
Apache-2.0 |
Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF |
qwen3-tts-12hz-1.7b-voicedesign-bf16.gguf, qwen3-tts-12hz-1.7b-voicedesign-q8_0.gguf |
qwen3_tts |
Apache-2.0 |
Stable-Audio-3-Medium-GGUF |
stable-audio-3-medium-f16.gguf, stable-audio-3-medium-q8_0.gguf |
stable_audio |
Stability AI Community License |
Stable-Audio-3-Small-Music-GGUF |
stable-audio-3-small-music-f16.gguf, stable-audio-3-small-music-q8_0.gguf |
stable_audio |
Stability AI Community License |
Stable-Audio-3-Small-SFX-GGUF |
stable-audio-3-small-sfx-f16.gguf, stable-audio-3-small-sfx-q8_0.gguf |
stable_audio |
Stability AI Community License |
Supertonic-3-GGUF |
supertonic-3-orig.gguf, supertonic-3-f16.gguf, supertonic-3-q8_0.gguf |
supertonic |
BigScience Open RAIL-M |
VibeVoice-ASR-GGUF |
vibevoice-asr-f16.gguf, vibevoice-asr-q8_0.gguf |
vibevoice_asr |
MIT |
VoxCPM2-GGUF |
voxcpm2-orig.gguf, voxcpm2-bf16.gguf, voxcpm2-q8_0.gguf |
voxcpm2 |
Apache-2.0 |
Usage
Pass a GGUF file directly as --model:
audiocpp_cli --task tts --family supertonic --model Supertonic-3-GGUF/supertonic-3-orig.gguf --backend cuda --language en --text "Hello." --voice-id M1 --out out.wav
For ASR:
audiocpp_cli --task asr --family qwen3_asr --model Qwen3-ASR-0.6B-GGUF/qwen3-asr-0.6b-f16.gguf --backend cuda --audio speech.wav --text "" --text-out transcript.txt
License
Each GGUF file is a converted form of its original model. Use and redistribution are governed by the corresponding original model license listed above. Please review the original model card and license terms before using or redistributing any converted weights.
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Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for audio-cpp/audio.cpp-gguf to start chatting