Local ASR model

Nemotron 3.5 ASR Streaming 0.6B

Catalogue summary: NVIDIA multilingual streaming ASR model using a cache-aware FastConformer-RNNT architecture with language-ID prompting. Runs locally through NeMo-Speech.cpp with a Q8_0 GGUF, NVIDIA NeMo, or Transformers, and supports configurable 80 ms to 1.12 s streaming chunks plus automatic language detection.

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

CPU friendlyspeech-to-text transcription40 languagesOpenMDW 1.1
Choose an app

Start with Recommended. No terminal commands are shown.

Compare speech models

Desktop app links require the app to be installed. If nothing opens, LocalClaw will show app-download and model-file fallbacks.

Catalogue quality
9.4/10
Catalogue speed
9.3/10
Model size
0.75 GB
Voices
N/A (streaming ASR: outputs punctuated text and optional language tags)

Can Nemotron 3.5 ASR Streaming 0.6B run locally?

Nemotron 3.5 ASR Streaming 0.6B 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.

OpenMDW 1.1 license. Review upstream restrictions before commercial use.

streamingrealtimemultilinguallow-latency

Audio profile

Cat. quality
9.4
Cat. speed
9.3
Audio
9.4

Best fit

Nemotron 3.5 ASR Streaming 0.6B is best for offline transcription, speech indexing and local voice pipelines.

Hardware: cpugpuapple

Model details

Type
Local ASR model
Family
nemotron
Latency
ultra-low
Formats
nemogguftransformerssafetensors
Languages
en, es, fr, it, pt, nl, de, tr, ru, ar, hi, ja, ko, vi, uk, pl, sv, cs, no, da, bg, fi, hr, sk, zh, hu, ro, et, el, lt, lv, mt, sl, he, th
Context
600M params, 741MB Q8_0 GGUF, 2.55GB safetensors, 40 language-locales

Install locally

01
Check runtimeConfirm the backend supports nemo, gguf, 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
  • CPU friendly 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.

Related TTS and speech models

CompareBrowse all TTS models Local AIBrowse LLM models macOS appGet LocalClaw