Local TTS model

Audar-TTS-V1-Turbo

Q: Can Audar-TTS-V1-Turbo run locally?

Audar-TTS-V1-Turbo is listed by LocalClaw as a local TTS option. Hardware fit depends on runtime, model size and backend support.

Catalogue summary: Arabic-first bilingual expressive TTS model packaged as official GGUF weights for llama.cpp. It predicts neural-codec speech tokens, clones a voice from a 5-15 second reference clip without per-speaker fine-tuning, supports inline expression tags, and targets Arabic MSA/dialects plus English code-switching with 24 kHz output.

Repository editorial metadata; verify comparative claims in the linked upstream material.

Edge readytext-to-speech generation2 languagesAudarAI Community License v1.0

Choose an app

Start with the recommended app, or choose another supported option.

Compare speech models

Open model filesRecommended verified starting point Open in UnslothLaunches Unsloth Desktop on this model Open Python packageVerified package page without exposing a command Open on Hugging FaceFiles, licence and model card Check my machineOptional: verify the fit with your saved hardware

Desktop app links require the app to be installed. If nothing opens, LocalClaw will show app-download and model-file fallbacks.

Catalogue quality

9.2/10

Catalogue speed

8/10

Model size

1.64B params; 1.07 GB Q4, 1.21 GB Q5 or 1.75 GB Q8 GGUF

Voices

Zero-shot cloning from a 5-15 s reference clip

Can Audar-TTS-V1-Turbo run locally?

Audar-TTS-V1-Turbo can generate speech locally for private voice workflows. Use the verified setup options on this page; no terminal command is required to choose the right path.

AudarAI Community License v1.0 license. Review upstream restrictions before commercial use.

Upstream source

cloningemotionmultilingualcontrollable

Audio profile

Cat. quality

9.2

Cat. speed

Audio

8.8

Best fit

Audar-TTS-V1-Turbo is best for local voice cloning and expressive speech generation.

Hardware: cpugpuedge

Model details

Type

Local TTS model

Family

audar

Latency

low

Formats

ggufllama.cpp

Languages

ar, en

Context

Qwen2.5-1.5B-class decoder predicts audar-codec tokens; official README shows llama.cpp loading via hf_hub_download and notes limited Community License terms

Install locally

Check runtimeConfirm the backend supports gguf, llama.cpp on your machine.

Open recommended setupUse the app and model links above. LocalClaw does not expose a terminal command.

Test locallyRun a short private audio prompt before moving into production workflows.

Good for

text-to-speech generation
Edge ready local workflows
cloning, emotion, multilingual

Watch before shipping

Validate pronunciation, latency and artifacts with your own voice samples.
Review the upstream license and acceptable-use notes.
Benchmark on your target CPU, Apple Silicon or GPU setup.

Related TTS and speech models

CompareBrowse all TTS models Local AIBrowse LLM models macOS appGet LocalClaw