pnnbao-ump/VieNeu-TTS-v3-Nano
text-to-speech model by pnnbao-ump
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
[](https://github.com/pnnbao97/VieNeu-TTS) [](https://huggingface.co/pnnbao-ump/VieNeu-TTS-v3-Nano) [](https://huggingface.co/pnnbao-ump/VieNeu-TTS-v3-Turbo) [](https://pypi.org/project/vieneu/) [](https://discord.gg/yJt8kzjzWZ) VieNeu-TTS v3 Nano is a 48M-parameter flow-matching TTS model for Vietnamese, built for edge devices and weak CPUs: old laptops, mini PCs, ARM single-board computers and Android phones. It ships as a handful of small ONNX graphs (≈280 MB at runtime), runs torch-free on ONNX Runtime, loads in about 3 seconds and synthesizes at roughly 3× the speed of v3 Turbo on the same CPU. It is a different architecture from v3 Turbo (a non-autoregressive flow model instead of an LLM-style autoregressive backbone), which is where the speed comes from — and also where the quality gap comes from. It supports 6 built-in preset voices, inline emotion cues ([cười], [thở dài], [hắng giọng]) and outputs 24 kHz audio. The reference implementation is the vieneu Python SDK (v3.5.0) via Vieneu(mode="v3nano"). Choose Nano when: you need speed on a weak CPU, you are deploying on Android /…
Read the full model card ↗ · Preview checked 2026-09-24T06:45:33.643Z
Inside the original model card — Document outline
- 🪶 VieNeu-TTS v3 Nano (preview)
- Overview
- ⚖️ Nano vs. Turbo at a glance
- 🏗️ Architecture & Credits
- 📦 Using the Python SDK (vieneu)
- 🔥 Web UI
- ⏱️ Speed
- ⚠️ Limitations (known issues)
- 🎭 Preset Voices (11)
- 📁 Files in this repository
- 🔬 Model Variants
- 📜 Usage Rights & Licensing FAQ
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
pnnbao-ump/VieNeu-TTS-v3-Nano is a text-to-speech model repository published by pnnbao-ump on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-speech
- Library
- Not reported
- Recent downloads (30 days)
- 8,933
- Cumulative likes
- 2
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-04T11:55:52.000Z
- Last modified
- 2026-09-05T05:58:31.000Z
Compatibility and lineage
Reported languages: vi
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-24T06:37:36.828Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.