LocalClaw/TTS/FireRedTTS3
Local TTS model

FireRedTTS3

Catalogue summary: Official Apache-licensed unified speech generation and editing model from the FireRed Team. FireRedTTS3 covers multilingual zero-shot voice cloning, voice design and semantic/acoustic speech editing with downloadable safetensors weights and a local PyTorch runtime.

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

GPU recommendedtext-to-speech generation24 languagesApache 2.0
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Compare speech models
Open model filesRecommended verified starting pointOpen in UnslothLaunches Unsloth Desktop on this modelOpen on Hugging FaceFiles, licence and model cardCheck my machineOptional: verify the fit with your saved hardware

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Catalogue quality
9.4/10
Catalogue speed
7.2/10
Model size
8.48 GB base checkpoint; 5.7 GiB third-party MLX BF16 conversion available
Voices
Zero-shot cloning, voice design and semantic/acoustic speech editing

Can FireRedTTS3 run locally?

FireRedTTS3 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
cloningmultilingualcontrollableemotionediting

Audio profile

Cat. quality
9.4
Cat. speed
7.2
Audio
8.7

Best fit

FireRedTTS3 is best for local voice cloning and expressive speech generation.

Hardware: gpuapple

Model details

Type
Local TTS model
Family
firered
Latency
medium
Formats
pytorchsafetensorsmlx
Languages
en, zh, multilingual
Context
Base and Instruct checkpoints; official Python requirements plus optional FastText language ID; generation use requires authorized reference audio

Install locally

01
Check runtimeConfirm the backend supports pytorch, safetensors, mlx on your machine.
02
Open recommended setupUse the app and model links above. LocalClaw does not expose a terminal command.
03
Test locallyRun a short private audio prompt before moving into production workflows.

Good for

  • text-to-speech generation
  • GPU recommended local workflows
  • cloning, multilingual, controllable

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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