How to use Zyphra/ZONOS3-Mini with Zonos:
# pip install git+https://github.com/Zyphra/Zonos.git import torchaudio from zonos.model import Zonos from zonos.conditioning import make_cond_dict model = Zonos.from_pretrained("Zyphra/ZONOS3-Mini", device="cuda") wav, sr = torchaudio.load("speaker.wav") # 5-10s reference clip speaker = model.make_speaker_embedding(wav, sr) cond = make_cond_dict(text="Hello, world!", speaker=speaker, language="en-us") codes = model.generate(model.prepare_conditioning(cond)) audio = model.autoencoder.decode(codes)[0].cpu() torchaudio.save("sample.wav", audio, model.autoencoder.sampling_rate)
How to use Zyphra/ZONOS3-Mini with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Zyphra/ZONOS3-Mini # Run inference directly in the terminal: llama cli -hf Zyphra/ZONOS3-Mini
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Zyphra/ZONOS3-Mini # Run inference directly in the terminal: llama cli -hf Zyphra/ZONOS3-Mini
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf Zyphra/ZONOS3-Mini # Run inference directly in the terminal: ./build/bin/llama cli -hf Zyphra/ZONOS3-Mini
docker model run hf.co/Zyphra/ZONOS3-Mini
How to use Zyphra/ZONOS3-Mini with Ollama:
ollama run hf.co/Zyphra/ZONOS3-Mini
How to use Zyphra/ZONOS3-Mini with Docker Model Runner:
How to use Zyphra/ZONOS3-Mini with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Zyphra/ZONOS3-Mini
lemonade run user.ZONOS3-Mini-{{QUANT_TAG}}
lemonade list
