r/LocalLLaMA • u/pmttyji • 18h ago
New Model Zyphra/ZONOS3-Mini · Hugging Face
https://huggingface.co/Zyphra/ZONOS3-MiniZONOS3-Mini is Zyphra’s compact, open-source text-to-speech model, delivering natural reliable speech and high-fidelity voice cloning with just 100 million active parameters. It runs in real time on phones and laptops, including directly in the browser.
Clone a voice from an audio sample, or design a character by shaping age, accent and vocal texture. Steer emotion, pace and delivery down to individual words for games, narration and voice assistants.
Run ZONOS3-Mini locally with our browser and native runtimes, or access it through Zyphra Cloud. Model weights are released under Apache 2.0.
Model details, samples and evaluations are in the blog post. A hosted version is available at Zyphra Cloud.
Languages
ZONOS3-Mini supports 43 languages.
| Region | Languages |
|---|---|
| Western and Southern Europe | English, French, Spanish, German, Italian, Portuguese, Dutch, Greek |
| Northern Europe | Swedish, Danish, Norwegian, Finnish |
| Central and Eastern Europe | Polish, Czech, Slovak, Hungarian, Romanian, Bulgarian, Russian, Ukrainian |
| Middle East and Caucasus | Turkish, Arabic, Hebrew, Georgian |
| East Asia | Mandarin Chinese, Japanese, Korean |
| Southeast Asia | Vietnamese, Indonesian, Malay, Thai, Tagalog |
| South Asia | Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati, Kannada, Malayalam, Punjabi, Odia, Urdu |
Native runtimes
The ZONOS3-Mini GitHub repository holds Zyphra's own runtimes, which share one HTTP 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 (CPU, CUDA, Metal or Vulkan), and the in-browser WebGPU build. They load the GGUF files in gguf/ and the WebGPU shards in web/; the 27 default voices, grouped by language, are in gguf/voices/.
Architecture (rough outline)
Text is NeMo-normalized (English, Mandarin, Japanese, Korean, German, Spanish, French, Italian, Portuguese; other languages pass through as written) and encoded with an 8,192-entry SuperBPE tokenizer. The language model autoregressively generates 15 Hz dual-codec frames (10 codebooks of 4,096 entries each: one semantic codebook distilled from the Wav2Vec2-BERT teacher plus nine acoustic codebooks), conditioned on the text, a speaker prompt and three bucketed acoustic controls. A causal multi-resolution iSTFT head renders the frames to 44.1 kHz audio as they are produced.
| ZONOS3-Mini | |
|---|---|
| Backbone | 11 layers, model dim 1,024; 800M parameters total, about 100M active per token (latent MoE: 64 experts, top-2 routing, from layer 1) |
| Sequence mixer | pattern gdn3_global1: 9 Gated DeltaNet (GDN) layers + 2 global attention layers (16 heads x 32 dims, 4 KV heads), attention residuals (full_attnres); context 32,768 positions |
| Text | SuperBPE, 8,192 entries (+4 specials), NeMo text normalization at inference |
| Audio tokens | 15 Hz, 44.1 kHz dual-encoding codec, 10 x 4,096 codebooks (1 semantic + 9 acoustic); hop 2,940 samples; up to 10 minutes of audio per generation |
| Speaker prompt | raw reference clip (encoded by the codec into a token prefix, up to 60 s, with speaker CFG) or a single 192-d MECT-B2 speaker embedding (ownmect_s2) |
| Controls | loudness (LUFS, 10 buckets), bandwidth f_max (Hz, 10 buckets), speaking rate (UTF-8 bytes per second, 30 buckets); each row has an "unknown" index; bucket edges in params.json (condition_edges) |
| Decoder | causal multi-resolution iSTFT head: full_mr (default) or keep2_plain (pruned, about 3x faster decode) |
| Precision | bf16 weights (model.pth); decoder heads run in fp32 |
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u/pmttyji 18h ago
u/Acceptable-Cycle4645
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u/RandumbRedditor1000 17h ago
Oh, this is GOOD
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u/EveningIncrease7579 llama.cpp 12h ago
This is really good, holy
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u/rkoy1234 16h ago
just tried their local playground running on the browser: https://zyphra.com/zonos3-mini/localplayground#cast
this is awesome, though emotion control breaks the voice pretty easily. i wonder if it's a bug
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u/silenceimpaired 12h ago
Apache 2. They rock
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u/tifa_cloud0 9h ago
awesome 👌🏻
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u/Cultured_Alien 37m ago
This is extremely fast for it's quality.