LocalClaw/TTS/Granite Speech 4.1 2B
Local ASR model

Granite Speech 4.1 2B

Catalogue summary: Compact Apache 2.0 speech-language model for multilingual ASR and bidirectional speech translation. Adds punctuation, truecasing, keyword biasing and Japanese ASR improvements.

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

GPU recommendedspeech-to-text transcription6 languagesApache 2.0
Choose an app

Start with Recommended. No terminal commands are shown.

Compare speech models
Open model filesRecommended verified starting pointOpen in UnslothLaunches Unsloth Desktop on this modelOpen Python packageVerified package page without exposing a commandOpen on Hugging FaceFiles, licence and model cardCheck 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
4 GB
Voices
N/A (ASR/AST: outputs text or translation)

Can Granite Speech 4.1 2B run locally?

Granite Speech 4.1 2B can run locally for offline speech-to-text. 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
streamingrealtimemultilingual

Audio profile

Cat. quality
9.2
Cat. speed
8
Audio
8.8

Best fit

Granite Speech 4.1 2B is best for offline transcription, speech indexing and local voice pipelines.

Hardware: gpuapple

Model details

Type
Local ASR model
Family
granite-speech
Latency
low
Formats
pytorchsafetensors
Languages
en, fr, de, es, pt, ja
Context
2B speech-language model for ASR, AST, punctuation, truecasing and keyword-biased recognition

Install locally

01
Check runtimeConfirm the backend supports pytorch, safetensors 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

  • speech-to-text transcription
  • GPU recommended local workflows
  • streaming, realtime, 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.

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