Instructions to use wkwong/Lunavox-Qwen3-TTS-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use wkwong/Lunavox-Qwen3-TTS-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 wkwong/Lunavox-Qwen3-TTS-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf wkwong/Lunavox-Qwen3-TTS-GGUF:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf wkwong/Lunavox-Qwen3-TTS-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf wkwong/Lunavox-Qwen3-TTS-GGUF:Q8_0
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 wkwong/Lunavox-Qwen3-TTS-GGUF:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf wkwong/Lunavox-Qwen3-TTS-GGUF:Q8_0
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 wkwong/Lunavox-Qwen3-TTS-GGUF:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf wkwong/Lunavox-Qwen3-TTS-GGUF:Q8_0
Use Docker
docker model run hf.co/wkwong/Lunavox-Qwen3-TTS-GGUF:Q8_0
- LM Studio
- Jan
- Ollama
How to use wkwong/Lunavox-Qwen3-TTS-GGUF with Ollama:
ollama run hf.co/wkwong/Lunavox-Qwen3-TTS-GGUF:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use wkwong/Lunavox-Qwen3-TTS-GGUF with Docker Model Runner:
docker model run hf.co/wkwong/Lunavox-Qwen3-TTS-GGUF:Q8_0
- Lemonade
How to use wkwong/Lunavox-Qwen3-TTS-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull wkwong/Lunavox-Qwen3-TTS-GGUF:Q8_0
Run and chat with the model
lemonade run user.Lunavox-Qwen3-TTS-GGUF-Q8_0
List all available models
lemonade list
- Atomic Chat
LunaVox Runtime Models
This directory contains converted runtime artifacts (ONNX and GGUF) for various Qwen3-TTS model variants. These artifacts are generated from original Hugging Face checkpoints to be used by the LunaVox inference engine.
Downloading and Setup
1. Automatic Source Download in pull-model
lunavox pull-model is the only model preparation entrypoint.
If required Hugging Face source weights are missing, CLI prompts in English and downloads after confirmation.
2. Model Cache
Original model weights are cached in the standard Hugging Face directory:
~/.cache/huggingface/hub/models--Qwen--...
Directory Structure
Each model variant subfolder (e.g., models/base_small/) typically contains:
qwen3_tts_talker.q5_k.gguf: Quantized Talker model (Llama-based).qwen3_tts_predictor.q8_0.gguf: Quantized Predictor model (Llama-based).qwen3_tts_codec_encoder.fp16.onnx: Audio Tokenizer (Mimi-based).qwen3_tts_speaker_encoder.fp16.onnx: Reference Audio Speaker Encoder.qwen3_tts_decoder.fp16.onnx: Audio Decoder (Mimi-based).embeddings/: Projected text and codec embeddings.tokenizer.json: Hugging Face text tokenizer configuration.
Available Variants
base: Qwen3-TTS-12Hz-1.7B-Basebase_small: Qwen3-TTS-12Hz-0.6B-Basecustom: Qwen3-TTS-12Hz-1.7B-CustomVoicecustom_small: Qwen3-TTS-12Hz-0.6B-CustomVoicedesign: Qwen3-TTS-12Hz-1.7B-VoiceDesign
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