ZeroTTS as GGUF for the ggml/WASM runtime

Repackaging of zeroweight-ai/ZeroTTS for the ggml runtime in the ZeroTTS repo's cpp/ directory. f32 is verified to produce frame codes bit-identical to the ONNX graphs; q8_0 and q4_0 trade download size for a measured drift in sampled codes (4.9% and 36.5%). The codec decoder stays ONNX.

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.gitignore

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+*.DS_Store

README.md

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+---
+license: mit
+language:
+  - vi
+library_name: gguf
+pipeline_tag: text-to-speech
+tags:
+  - text-to-speech
+  - tts
+  - vietnamese
+  - gguf
+  - ggml
+  - llama-cpp
+  - quantized
+  - webassembly
+  - zero-shot
+  - speech-synthesis
+  - voice-cloning
+  - vietnamese-tts
+  - tieng-viet
+metrics:
+  - wer
+model-index:
+  - name: ZeroTTS
+    results:
+      - task:
+          type: text-to-speech
+          name: Zero-Shot Text-to-Speech
+        dataset:
+          type: zeroweight-ai/ZeroBench-TTS
+          name: ZeroBench-TTS
+          split: test
+        metrics:
+          - type: wer
+            value: 1.03
+            name: WER (%) — raw text
+          - type: utmos
+            value: 2.91
+            name: UTMOSv2 naturalness MOS
+          - type: speaker_similarity
+            value: 0.936
+            name: Speaker similarity (WavLM-SV cosine)
+          - type: excess_silence
+            value: 0.029
+            name: Excess silence (s)
+      - task:
+          type: text-to-speech
+          name: Zero-Shot TTS — monolingual Vietnamese
+        dataset:
+          type: zeroweight-ai/ZeroBench-TTS
+          name: ZeroBench-TTS (vietnamese)
+          config: vietnamese
+          split: test
+        metrics:
+          - type: wer
+            value: 0.16
+            name: WER (%) — raw text
+      - task:
+          type: text-to-speech
+          name: Zero-Shot TTS — Vietnamese/English code-switching
+        dataset:
+          type: zeroweight-ai/ZeroBench-TTS
+          name: ZeroBench-TTS (code_switch)
+          config: code_switch
+          split: test
+        metrics:
+          - type: wer
+            value: 0.97
+            name: WER (%) — raw text
+      - task:
+          type: text-to-speech
+          name: Zero-Shot TTS — cross-lingual voice prompt
+        dataset:
+          type: zeroweight-ai/ZeroBench-TTS
+          name: ZeroBench-TTS (cross_lingual)
+          config: cross_lingual
+          split: test
+        metrics:
+          - type: wer
+            value: 1.42
+            name: WER (%) — raw text
+      - task:
+          type: text-to-speech
+          name: Zero-Shot TTS — acronyms, dates, numbers
+        dataset:
+          type: zeroweight-ai/ZeroBench-TTS
+          name: ZeroBench-TTS (challenging)
+          config: challenging
+          split: test
+        metrics:
+          - type: wer
+            value: 1.75
+            name: WER (%) — raw text
+---
+
+<img src="banner.png" alt="ZeroTTS — Vietnamese zero-shot text-to-speech" width="100%">
+
+# ZeroTTS — GGUF
+
+### The ZeroTTS weights packaged as GGUF, for the [ggml](https://github.com/ggml-org/ggml) runtime instead of onnxruntime. Same model, ~4× smaller download, and it runs in the browser under WebAssembly.
+
+This is a **repackaging**, not a different model. The weights are the same ones
+in [`zeroweight-ai/ZeroTTS`](https://huggingface.co/zeroweight-ai/ZeroTTS); the
+`f32` file here is verified to produce **bit-identical frame codes** to the ONNX
+graphs for the same text, voice and random draws. If you want the ONNX runtime
+or the `zerotts` pip package, use that repo — this one is for the ggml/WASM
+runtime in [`cpp/`](https://github.com/zeroweight-ai/ZeroTTS/tree/main/cpp).
+
+**The most accurate open Vietnamese TTS we know of — 4× fewer word errors than
+the next best model**, and it runs faster than real time on a laptop CPU.
+
+* 🎯 **Ultra-natural** — 2.91 UTMOS above every other open Vietnamese
+  system, with near-zero dead air (0.029 s).
+* 🗣️ **Zero-shot voice cloning** — a voice is a small latent array; drop it in
+  and the model speaks in it, cloned from as little as 3 seconds of reference
+  audio (up to 30 seconds). No fine-tuning, no per-speaker training.
+* ⚡ **Real-time on CPU, streaming** — ~2× faster than real time (RTF 0.5×),
+  first audio chunk in ~70 ms. No GPU required.
+* 🇻🇳 **Built for Vietnamese** — tones, code-switched English, and 
+  reads `31/12/2025` and `ZeroTTS` without text normalizer.
+
+* Code, examples, browser demo: **https://github.com/zeroweight-ai/ZeroTTS**
+* Benchmark dataset: **https://huggingface.co/datasets/zeroweight-ai/ZeroBench-TTS**
+* Blogpost: **https://zeroweight.ai/blog/zero-tts**
+
+## Samples
+
+**Two-speaker conversation**
+
+<audio controls><source src="https://huggingface.co/zeroweight-ai/ZeroTTS/resolve/main/samples/conversation.mp3" type="audio/mpeg"></audio>
+
+**Long-form narration**
+
+<audio controls><source src="https://huggingface.co/zeroweight-ai/ZeroTTS/resolve/main/samples/storytelling.mp3" type="audio/mpeg"></audio>
+
+**News read, code-switched English**
+
+<audio controls><source src="https://huggingface.co/zeroweight-ai/ZeroTTS/resolve/main/samples/news-code-switch.mp3" type="audio/mpeg"></audio>
+
+**Cross-lingual**
+
+Reference audio (Vietnamese) 
+
+<audio controls><source src="https://huggingface.co/zeroweight-ai/ZeroTTS/resolve/main/samples/cross-lingual-reference-vi.mp3" type="audio/mpeg"></audio>
+
+Output (English) 
+
+<audio controls><source src="https://huggingface.co/zeroweight-ai/ZeroTTS/resolve/main/samples/cross-lingual-english.mp3" type="audio/mpeg"></audio>
+
+## Files
+
+| path | what it is |
+|---|---|
+| `gguf/zerotts-q8_0.gguf` | **the default** — 206 MB, the text encoder, global decoder and depth decoder |
+| `gguf/zerotts-q4_0.gguf` | 124 MB, when the download budget is tight |
+| `gguf/zerotts-f32.gguf` | 772 MB, unquantized; the reference the others are measured against |
+| `onnx/codec/` | the MOSS audio-tokenizer **decoder**, still ONNX (Apache-2.0, ~45 MB) — it is not on the per-frame hot path |
+| `voices/` | the voice latents; a voice is a 10×768 float32 array |
+| `tokenizer.json`, `config.json`, `null_voice_emb.npy`, `silence_frame.npy` | runtime side files, identical to the ONNX repo |
+
+You need **one** `.gguf` plus `onnx/codec/`, `voices/` and the side files.
+
+### Which one to take
+
+Measured in Chrome on a 14-core Apple-silicon laptop, one 3.2 s utterance,
+frame generation only. "drift" is the share of sampled codes that come out
+differently from `f32` when both are driven along the same code sequence — the
+`<eoa>` stop decision was identical in every build.
+
+| file | size | drift vs f32 | 1 thread | 4 threads | 8 threads |
+|---|---:|---:|---:|---:|---:|
+| `f32` | 772 MB | — | **2.40×** | **6.1×** | **6.2×** |
+| `q8_0` | 206 MB | 4.9% | 1.06× | 3.6× | 5.3× |
+| `q4_0` | 124 MB | 36.5% | 1.27× | 4.1× | 5.8× |
+
+For reference, the ONNX graphs in
+[`zeroweight-ai/ZeroTTS`](https://huggingface.co/zeroweight-ai/ZeroTTS) run at
+4.2× on the same machine, at the 4 threads onnxruntime-web caps itself to.
+
+**Quantization here buys download size, not speed.** WebAssembly's SIMD has no
+integer dot-product instruction, so a `q8_0` block costs roughly 20 SIMD ops per
+32 multiply-accumulates where `f32` costs 8 fused multiply-adds — on a machine
+with memory bandwidth to spare the extra instructions cost more than the saved
+bytes. Take `q8_0` unless you have a reason not to: it is 4× smaller than the
+ONNX graphs and faster than them at the thread counts each actually uses (5.3×
+on 8 threads against 4.2× on 4). Take `f32` if you want bit-exactness, the
+highest speed at any thread count, or you are running on very few cores — it is
+the fastest build here, just the largest. `q4_0` changes a third of the drawn
+codes, which is audible as a different take rather than a broken one, but it is
+the wrong trade unless 124 MB is the binding constraint.
+
+Numbers on hardware that is genuinely short of *bandwidth* rather than compute
+should look different; the benchmark page in the repo re-runs this table in one
+click.
+
+## Usage
+
+The runtime is [`cpp/`](https://github.com/zeroweight-ai/ZeroTTS/tree/main/cpp)
+in the main repository — a ggml implementation of the generation loop, building
+natively and to WebAssembly.
+
+```bash
+git clone --recurse-submodules https://github.com/zeroweight-ai/ZeroTTS
+cd ZeroTTS/cpp
+cmake -B build -DCMAKE_BUILD_TYPE=Release . && cmake --build build -j
+./build/zerotts-bench /path/to/zerotts-q8_0.gguf voice.bin text_ids.txt
+```
+
+In the browser, the demo in [`js/`](https://github.com/zeroweight-ai/ZeroTTS/tree/main/js)
+uses this repo by default:
+
+```bash
+cd ZeroTTS/js && npm install && npm run dev
+```
+
+`voice.bin` is the raw little-endian float32 blob under `voices/<name>/` —
+`voice.npz` is the same latents for numpy callers.
+
+For the Python package, the ONNX graphs and `pip install zerotts`, use
+[`zeroweight-ai/ZeroTTS`](https://huggingface.co/zeroweight-ai/ZeroTTS) instead.
+
+## Benchmarks
+
+These are the unquantized model's quality numbers, measured through the
+PyTorch runtime. `f32` here is that model exactly; see the drift column above
+for what the quantized files change.
+
+
+Measured on **[ZeroBench-TTS](https://huggingface.co/datasets/zeroweight-ai/ZeroBench-TTS)**
+
+Every system reads **raw text** — dates, numbers and acronyms verbatim, exactly
+as they appear in the wild, with no text frontend in front of the model. 
+
+| | **ZeroTTS** | OmniVoice | XTTS-v2-vietnamse | viXTTS |
+|---|:-:|:-:|:-:|:-:|
+| **WER** ↓ | **1.03 %** | 4.13 % | 16.42 % | 18.40 % |
+| **Naturalness** (UTMOS) ↑ | **2.91** | 2.76 | 2.43 | 2.35 |
+| **Voice similarity** (SSIM) ↑ | 0.936 | **0.950** | 0.940 | 0.935 |
+| **Dead air** (excess silence) ↓ | **0.029 s** | 0.340 s | 0.532 s | 0.233 s |
+| **RTF, CPU** ↓ | **0.50×** | 6.12× | 0.71× | 0.73× |
+| **Time to first audio, CPU** ↓ | **~70 ms** | ~34 s | ~6.1 s | ~5.1 s |
+| **Parameters**  ↓ | **202 M** | 775 M | 467 M | 467 M |
+
+**4× fewer word errors than the next-best system**, and the fastest of the four
+on CPU. The gap is much wider in latency than in throughput: the two XTTS
+fine-tunes also beat real time (0.71×) but need seconds to emit their first
+sample, while OmniVoice is 6× *slower* than real time. All three are sized and
+tuned for a GPU, and it shows.
+
+Full comparison tables, per-subset breakdowns, and CPU speed methodology:
+**[docs/BENCHMARKS.md](https://github.com/zeroweight-ai/ZeroTTS/blob/main/docs/BENCHMARKS.md)**
+
+### Speed — CPU
+
+RTF (realtime factor, wall-clock synthesis time ÷ output audio duration — lower
+is faster; below 1× is faster than real time) and time-to-first-audio, all
+measured **on CPU**, single request, 8 inference threads pinned to a dedicated
+core pool (no other synthesis running concurrently). Three Vietnamese samples —
+short (26 chars), medium (77 chars), long (227 chars) — each run 6 times with
+the first 2 (cold-cache) discarded; figures below are the mean of the
+remaining 4.
+
+| | **ZeroTTS** | OmniVoice | XTTS-v2-vietnamse | viXTTS |
+|---|:-:|:-:|:-:|:-:|
+| RTF — short | **0.51×** | 10.87× | 0.70× | 0.71× |
+| RTF — medium | **0.47×** | 4.82× | 0.70× | 0.70× |
+| RTF — long | **0.53×** | 2.67× | 0.71× | 0.78× |
+| TTFA — short | **53 ms** | 21.7 s | 4.02 s | 2.45 s |
+| TTFA — medium | **66 ms** | 28.9 s | 4.02 s | 3.72 s |
+| TTFA — long | **89 ms** | 52.3 s | 10.3 s | 9.22 s |
+
+ZeroTTS's time-to-first-audio comes from its real streaming path — first audio frame,
+not first full utterance. The three baselines have no working CPU streaming
+path, so their TTFA is the time to the complete utterance. 
+
+## Voices, and voice cloning
+
+A voice is a small array of speaker latents, `(1, n_voice_queries, d_model)`,
+shipped as a `.npz` under `voices/`. That array is the entire speaker
+conditioning — no reference transcript, no audio prompt.
+
+> **Voice cloning is not available in this release.** Those latents come from a
+> voice encoder that reads a reference clip, and that encoder is not published.
+> This repository ships ready-to-use voices; it cannot create new ones from
+> audio.
+>
+> To get latents for your own speaker, see **[zeroweight.ai](https://zeroweight.ai)**
+> or get in touch.
+
+Because a voice is just an array, latents obtained that way drop into
+`voices/<name>/voice.npz` and work with no code change.
+
+## Intended use and limitations
+
+Built for **Vietnamese**. It handles English words embedded in Vietnamese text
+(`code_switch`), but it is not an English TTS system and is not evaluated as one.
+
+Do not use it to impersonate a real person, to generate speech attributed to
+someone without their consent, or to produce audio intended to deceive. The
+shipped voices are for evaluation and demos.
+
+Synthetic speech should be disclosed as synthetic wherever a listener might
+reasonably assume otherwise.
+
+## Credits
+
+Speech codec: **MOSS-Audio-Tokenizer-Nano** by the OpenMOSS team, Apache-2.0.
+Its ONNX **decoder** graphs are redistributed under `onnx/codec/` so ZeroTTS has
+no external runtime dependency; the encoder is not included. See
+`onnx/codec/LICENSE-Apache-2.0.txt`.
+
+```bibtex
+@misc{gong2026mossaudiotokenizerscalingaudiotokenizers,
+  title={MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models},
+  author={Yitian Gong and Kuangwei Chen and Zhaoye Fei and Xiaogui Yang and Ke Chen
+          and Yang Wang and Kexin Huang and Mingshu Chen and Ruixiao Li
+          and Qingyuan Cheng and Shimin Li and Xipeng Qiu},
+  year={2026}, eprint={2602.10934}, archivePrefix={arXiv}, primaryClass={cs.SD}
+}
+```
+
+## License
+
+ZeroTTS weights and code: **MIT**.
+
+The ZeroBench-TTS *dataset* is CC-BY-NC-4.0 because it redistributes reference
+audio from VIVOS, viVoice, phoaudiobook and Emilia. That license applies to the
+benchmark dataset only — **not** to these weights.

config.json

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+  "text_format": "bpe",
+  "vocab_size": 8192,
+  "num_codebooks": 16,
+  "codebook_size": 1024,
+  "d_model": 768,
+  "n_heads": 12,
+  "n_layers": 9,
+  "n_voice_queries": 10,
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+    "<bos>": 1,
+    "<eot>": 2,
+    "<soa>": 3,
+    "<slot>": 4,
+    "<eoa>": 5,
+    "<en>": 6,
+    "<vi>": 7
+  },
+  "sample_rate": 48000,
+  "codec_frame_rate": 12.5
+}

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onnx/codec/LICENSE-Apache-2.0.txt

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+MOSS-Audio-Tokenizer-Nano
+Copyright the OpenMOSS Team.
+Licensed under the Apache License, Version 2.0.
+https://www.apache.org/licenses/LICENSE-2.0
+
+Source: https://huggingface.co/OpenMOSS-Team/MOSS-Audio-Tokenizer-Nano-ONNX
+        https://github.com/OpenMOSS/MOSS-Audio-Tokenizer
+
+Only the DECODER graphs are redistributed here; the encoder is not included.

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+  ]
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+  "sample_rate": 48000,
+  "channels": 2,
+  "downsample_rate": 3840,
+  "num_quantizers": 16
+ },
+ "onnx": {
+  "opset": 17,
+  "decode_input_names": [
+   "audio_codes",
+   "audio_code_lengths"
+  ],
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+      ]
+    },
+    {
+      "name": "kimoanh",
+      "display_name": "Kim Oanh",
+      "language": "vi",
+      "gender": "nữ",
+      "description": "nữ, trung niên, kể chuyện, ấm áp, truyền cảm",
+      "tags": [
+        "nữ",
+        "trung niên",
+        "kể chuyện",
+        "ấm áp",
+        "truyền cảm"
+      ],
+      "n_voice_queries": 10,
+      "shape": [
+        1,
+        10,
+        768
+      ]
+    },
+    {
+      "name": "giahuy",
+      "display_name": "Gia Huy",
+      "language": "vi",
+      "gender": "nam",
+      "description": "nam, trẻ, kể chuyện, trầm ấm, tâm tình",
+      "tags": [
+        "nam",
+        "trẻ",
+        "kể chuyện",
+        "trầm ấm",
+        "tâm tình"
+      ],
+      "n_voice_queries": 10,
+      "shape": [
+        1,
+        10,
+        768
+      ]
+    },
+    {
+      "name": "huuduc",
+      "display_name": "Hữu Đức",
+      "language": "vi",
+      "gender": "nam",
+      "description": "nam, lớn tuổi, kể chuyện, trầm, điềm đạm",
+      "tags": [
+        "nam",
+        "lớn tuổi",
+        "kể chuyện",
+        "trầm",
+        "điềm đạm"
+      ],
+      "n_voice_queries": 10,
+      "shape": [
+        1,
+        10,
+        768
+      ]
+    },
+    {
+      "name": "quangminh",
+      "display_name": "Quang Minh",
+      "language": "vi",
+      "gender": "nam",
+      "description": "nam, trẻ, tin tức, rõ ràng, dứt khoát",
+      "tags": [
+        "nam",
+        "trẻ",
+        "tin tức",
+        "rõ ràng",
+        "dứt khoát"
+      ],
+      "n_voice_queries": 10,
+      "shape": [
+        1,
+        10,
+        768
+      ]
+    },
+    {
+      "name": "tiendat",
+      "display_name": "Tiến Đạt",
+      "language": "vi",
+      "gender": "nam",
+      "description": "nam, trẻ, bình luận, sôi nổi, năng lượng cao",
+      "tags": [
+        "nam",
+        "trẻ",
+        "bình luận",
+        "sôi nổi",
+        "năng lượng cao"
+      ],
+      "n_voice_queries": 10,
+      "shape": [
+        1,
+        10,
+        768
+      ]
+    },
+    {
+      "name": "hamy",
+      "display_name": "Hà My",
+      "language": "vi",
+      "gender": "nữ",
+      "description": "nữ, trẻ, hoạt hình, cao, biểu cảm",
+      "tags": [
+        "nữ",
+        "trẻ",
+        "hoạt hình",
+        "cao",
+        "biểu cảm"
+      ],
+      "n_voice_queries": 10,
+      "shape": [
+        1,
+        10,
+        768
+      ]
+    }
+  ]
+}

voices/kimoanh/meta.json

@@ -0,0 +1,15 @@
+{
+  "name": "kimoanh",
+  "display_name": "Kim Oanh",
+  "language": "vi",
+  "gender": "nữ",
+  "description": "nữ, trung niên, kể chuyện, ấm áp, truyền cảm",
+  "tags": [
+    "nữ",
+    "trung niên",
+    "kể chuyện",
+    "ấm áp",
+    "truyền cảm"
+  ],
+  "n_voice_queries": 10
+}

voices/kimoanh/preview.wav

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+version https://git-lfs.github.com/spec/v1
+oid sha256:235bbe6aac7abbac191b2302ff52e51422076bf8117cd4142de1da7fe837a806
+size 721964

voices/kimoanh/voice.bin

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+oid sha256:125a9dd8580ee96902868ea75ace8f572950a80a03b49e1cf4583332668844a0
+size 30720

voices/kimoanh/voice.npz

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+size 31262

voices/maichi/meta.json

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+{
+  "name": "maichi",
+  "display_name": "Mai Chi",
+  "language": "vi",
+  "gender": "nữ",
+  "description": "nữ, trẻ, kể chuyện, nhẹ nhàng, thân thiện",
+  "tags": [
+    "nữ",
+    "trẻ",
+    "kể chuyện",
+    "nhẹ nhàng",
+    "thân thiện"
+  ],
+  "n_voice_queries": 10
+}

voices/maichi/preview.wav

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+size 491564

voices/maichi/voice.bin

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+size 30720

voices/maichi/voice.npz

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+size 31262

voices/quangminh/meta.json

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+{
+  "name": "quangminh",
+  "display_name": "Quang Minh",
+  "language": "vi",
+  "gender": "nam",
+  "description": "nam, trẻ, tin tức, rõ ràng, dứt khoát",
+  "tags": [
+    "nam",
+    "trẻ",
+    "tin tức",
+    "rõ ràng",
+    "dứt khoát"
+  ],
+  "n_voice_queries": 10
+}

voices/quangminh/preview.wav

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+size 391724

voices/quangminh/voice.bin

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+size 30720

voices/quangminh/voice.npz

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voices/tiendat/meta.json

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+{
+  "name": "tiendat",
+  "display_name": "Tiến Đạt",
+  "language": "vi",
+  "gender": "nam",
+  "description": "nam, trẻ, bình luận, sôi nổi, năng lượng cao",
+  "tags": [
+    "nam",
+    "trẻ",
+    "bình luận",
+    "sôi nổi",
+    "năng lượng cao"
+  ],
+  "n_voice_queries": 10
+}

voices/tiendat/preview.wav

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+size 483884

voices/tiendat/voice.bin

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+size 30720

voices/tiendat/voice.npz

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