MODEL PROFILE

VieNeu-TTS-v3-Nano

pnnbao-ump · VieNeu-TTS-v3-Nano

> [!WARNING] > **Preview release — still under active testing.** VieNeu-TTS v3 Nano is an experimental, lightweight model. It has known shortcomings (see *Limitations* below), its quality is **noticeably lower than v3 Turbo**, and weights, voices and the API may still change between revisions. **VieNeu-TTS v3 Turbo remains the default and recommended model.** Reach for Nano only when Turbo is too slow on your hardware or when you are deploying on a phone / edge device. **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.

Speech synthesislicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Audio
Model weightsNot verified
Profile updated2026/10/29 21:39:58
OVERVIEW

Model overview

> [!WARNING] > **Preview release — still under active testing.** VieNeu-TTS v3 Nano is an experimental, lightweight model. It has known shortcomings (see *Limitations* below), its quality is **noticeably lower than v3 Turbo**, and weights, voices and the API may still change between revisions. **VieNeu-TTS v3 Turbo remains the default and recommended model.** Reach for Nano only when Turbo is too slow on your hardware or when you are deploying on a phone / edge device. **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.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。