Local TTS model

Moshi

Q: Can Moshi run locally?

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

Catalogue summary: Full-duplex spoken dialogue model - listens and speaks simultaneously with ~160 ms latency. Not just a TTS but a real-time conversational speech model. Runs on a single L4 GPU or Mac M3 Pro.

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

GPU recommendedtext-to-speech generation1 languagesCC-BY-4.0

Choose an app

Start with Recommended. No terminal commands are shown.

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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

9/10

Catalogue speed

9.5/10

Model size

7.5 GB

Voices

Full-duplex conversational

Can Moshi run locally?

Moshi 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.

CC-BY-4.0 license. Review upstream restrictions before commercial use.

Upstream source

dialoguestreamingrealtimelow-latencyemotion

Audio profile

Cat. quality

Cat. speed

9.5

Audio

9.2

Best fit

Moshi is best for fast on-device voice responses and local assistants.

Hardware: gpuapple

Model details

Type

Local TTS model

Family

moshi

Latency

ultra-low

Formats

pytorchsafetensorsmlx

Languages

Context

Listens + speaks simultaneously, 160 ms latency

Install locally

Check runtimeConfirm the backend supports pytorch, safetensors, mlx 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
GPU recommended local workflows
dialogue, streaming, realtime

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.

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