Local TTS model

Gepard 1.0

Q: Can Gepard 1.0 run locally?

Gepard 1.0 is listed by LocalClaw as a local TTS option. Hardware fit depends on runtime, model size and backend support.

Catalogue summary: Apache-licensed autoregressive TTS model built for real-time dialogue. Gepard streams audio frames as text arrives, supports short-clip voice cloning, and ships downloadable safetensors weights with official PyTorch and vLLM inference paths.

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

GPU recommendedtext-to-speech generation4 languagesApache 2.0 model; NVIDIA Open Model License codec

Choose an app

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Open model filesRecommended verified starting point Open in UnslothLaunches Unsloth Desktop on this model Open official projectApplication source and guided setup 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

8.9/10

Catalogue speed

9.2/10

Model size

2.3 GB

Voices

Zero-shot voice cloning from a short reference clip

Can Gepard 1.0 run locally?

Gepard 1.0 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 model; NVIDIA Open Model License codec license. Still verify upstream usage notes before shipping.

Upstream source

cloningstreamingrealtimelow-latencymultilingual

Audio profile

Cat. quality

8.9

Cat. speed

9.2

Audio

9.0

Best fit

Gepard 1.0 is best for local voice cloning and expressive speech generation.

Hardware: gpu

Model details

Type

Local TTS model

Family

gepard

Latency

ultra-low

Formats

pytorchsafetensorsvllm

Languages

en, es, pt, nl

Context

555.7M params, 22.05 kHz output, real-time vLLM path reports about 50 ms first audio chunk on RTX 5090; NVIDIA NanoCodec dependency uses NVIDIA Open Model License

Install locally

Check runtimeConfirm the backend supports pytorch, safetensors, vllm 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
cloning, 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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