MODEL PROFILE

Audar-TTS-V1-Turbo

audarai · Audar-TTS-V1-Turbo

Audar-TTS-V1-Turbo is the **balanced production tier** of the Audar-TTS family — a **~1.64B-parameter** community-licensed speech model that trades a little of Flash's raw speed for higher fidelity and steadier prosody, while staying efficient. It is **Arabic-first** (including Gulf/Emirati and other dialects), fully **bilingual with English**, and **clones any voice from a 5–15 second reference clip** with no per-speaker fine-tuning. This repository ships it as **GGUF quantizations** for `llama.cpp`. Turbo treats speech synthesis as **next-token prediction**: a language-model backbone predicts discrete **audar-codec** acoustic tokens, which a lightweight neural codec decodes to **24 kHz** audio. There is **no phonemizer and no per-language G2P** — so Arabic dialects and Arabic⇄English code-switching are handled from data rather than brittle pronunciation rules. > **GGUF weights** under the **AudarAI Community License v1.0** — free for research and limited > commercial use by smaller organizations; larger/enterprise use needs an AudarAI Enterprise > License. See License.

Speech synthesislicense:other
Context windowNot disclosed
Input → OutputText → Audio
Model weightsNot verified
Profile updated2026/11/2 19:16:01
OVERVIEW

Model overview

Audar-TTS-V1-Turbo is the **balanced production tier** of the Audar-TTS family — a **~1.64B-parameter** community-licensed speech model that trades a little of Flash's raw speed for higher fidelity and steadier prosody, while staying efficient. It is **Arabic-first** (including Gulf/Emirati and other dialects), fully **bilingual with English**, and **clones any voice from a 5–15 second reference clip** with no per-speaker fine-tuning. This repository ships it as **GGUF quantizations** for `llama.cpp`. Turbo treats speech synthesis as **next-token prediction**: a language-model backbone predicts discrete **audar-codec** acoustic tokens, which a lightweight neural codec decodes to **24 kHz** audio. There is **no phonemizer and no per-language G2P** — so Arabic dialects and Arabic⇄English code-switching are handled from data rather than brittle pronunciation rules. > **GGUF weights** under the **AudarAI Community License v1.0** — free for research and limited > commercial use by smaller organizations; larger/enterprise use needs an AudarAI Enterprise > License. See License.

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

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PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

许可证:other。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。