Local TTS model

SILMA TTS

Q: Can SILMA TTS run locally?

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

Catalogue summary: Lightweight Arabic and English zero-shot TTS built from scratch on the F5-TTS architecture. The 150M parameter release supports voice cloning from a short reference clip and is practical on modest local hardware.

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

CPU friendlytext-to-speech generation2 languagesApache 2.0

Choose an app

Start with Recommended. No terminal commands are shown.

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

8.7/10

Catalogue speed

8.8/10

Model size

0.6 GB

Voices

Zero-shot voice cloning from a 5-10 second reference

Can SILMA TTS run locally?

SILMA TTS 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.

Apache 2.0 license. Still verify upstream usage notes before shipping.

Upstream source

cloningmultilinguallow-latency

Audio profile

Cat. quality

8.7

Cat. speed

8.8

Audio

8.7

Best fit

SILMA TTS is best for local voice cloning and expressive speech generation.

Hardware: cpugpuapple

Model details

Type

Local TTS model

Family

silma

Latency

low

Formats

pytorch

Languages

ar, en

Context

150M parameters, Arabic/English, F5-style local inference

Install locally

Check runtimeConfirm the backend supports pytorch 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
CPU friendly local workflows
cloning, multilingual, low-latency

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