Local ASR model

Higgs Audio v3 8B STT v2

Catalogue summary: Official Boson English speech-to-text checkpoint that combines a Whisper-Large-v3 encoder with a Qwen3-8B decoder. It is heavier than compact ASR models, but gives LocalClaw a canonical open-weight Higgs STT path through Transformers remote-code inference.

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

GPU recommendedspeech-to-text transcription1 languagesApache 2.0
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Catalogue quality
9.1/10
Catalogue speed
7.2/10
Model size
17.82 GB
Voices
N/A (ASR: outputs text)

Can Higgs Audio v3 8B STT v2 run locally?

Higgs Audio v3 8B STT v2 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.

low-latency

Audio profile

Cat. quality
9.1
Cat. speed
7.2
Audio
8.5

Best fit

Higgs Audio v3 8B STT v2 is best for offline transcription, speech indexing and local voice pipelines.

Hardware: gpu

Model details

Type
Local ASR model
Family
higgs
Latency
medium
Formats
transformerssafetensors
Languages
en
Context
8.91B BF16 params, 17.82GB safetensors storage, English ASR benchmarks reported on LibriSpeech, AMI, Earnings-22 and VoxPopuli

Install locally

01
Check runtimeConfirm the backend supports transformers, 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
  • 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.

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