Instructions to use Zyphra/ZONOS3-Mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Zonos
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) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Zyphra/ZONOS3-Mini 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 Zyphra/ZONOS3-Mini # Run inference directly in the terminal: llama cli -hf Zyphra/ZONOS3-Mini
Install from WinGet (Windows)
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
Build from source code
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
Use Docker
docker model run hf.co/Zyphra/ZONOS3-Mini
- Llama new
- LM Studio
- Jan
- Ollama
How to use Zyphra/ZONOS3-Mini with Ollama:
ollama run hf.co/Zyphra/ZONOS3-Mini
- Unsloth Desktop
- Docker Model Runner
How to use Zyphra/ZONOS3-Mini with Docker Model Runner:
docker model run hf.co/Zyphra/ZONOS3-Mini
- Lemonade
How to use Zyphra/ZONOS3-Mini with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Zyphra/ZONOS3-Mini
Run and chat with the model
lemonade run user.ZONOS3-Mini-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Model card: point at gguf/, web/ and the default voices by language
Browse files
README.md
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@@ -75,6 +75,9 @@ covers voice cloning, streaming and the sampling options.
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The [ZONOS3-Mini GitHub repository](https://github.com/Zyphra/ZONOS3-Mini) holds Zyphra's own runtimes, which share one HTTP
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API and serve the Zonos Voice Studio: a CUDA server for NVIDIA GPUs, an MLX server for Apple Silicon, a C++/ggml server and CLI
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(CPU, CUDA, Metal or Vulkan), and the in-browser WebGPU build.
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## Architecture (rough outline)
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The [ZONOS3-Mini GitHub repository](https://github.com/Zyphra/ZONOS3-Mini) holds Zyphra's own runtimes, which share one HTTP
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API and serve the Zonos Voice Studio: a CUDA server for NVIDIA GPUs, an MLX server for Apple Silicon, a C++/ggml server and CLI
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(CPU, CUDA, Metal or Vulkan), and the in-browser WebGPU build.
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They load the GGUF files in [`gguf/`](https://huggingface.co/Zyphra/ZONOS3-Mini/tree/main/gguf) and the WebGPU shards in
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[`web/`](https://huggingface.co/Zyphra/ZONOS3-Mini/tree/main/web); the 27 default voices, grouped by language, are in
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[`gguf/voices/`](https://huggingface.co/Zyphra/ZONOS3-Mini/blob/main/gguf/voices/README.md).
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## Architecture (rough outline)
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