LocalClaw/TTS/Fun-ASR-MLT-Nano-2512
Local ASR model

Fun-ASR-MLT-Nano-2512

Catalogue summary: Apache-licensed multilingual ASR checkpoint in the FunASR ecosystem. The 800M model covers 31 languages, exposes hotword and ITN controls through the official FunASR runtime, and ships a downloadable model.pt plus Qwen3-0.6B tokenizer assets for local PyTorch inference.

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

GPU recommendedspeech-to-text transcription31 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
9.2/10
Catalogue speed
9.2/10
Model size
800M params; 1.97 GB model.pt
Voices
N/A (ASR: outputs text)

Can Fun-ASR-MLT-Nano-2512 run locally?

Fun-ASR-MLT-Nano-2512 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
streamingrealtimemultilinguallow-latency

Audio profile

Cat. quality
9.2
Cat. speed
9.2
Audio
9.2

Best fit

Fun-ASR-MLT-Nano-2512 is best for offline transcription, speech indexing and local voice pipelines.

Hardware: gpucpu

Model details

Type
Local ASR model
Family
funasr
Latency
low
Formats
pytorch
Languages
zh, en, ja, ko, vi, id, th, ms, tl, ar, hi, bg, hr, cs, da, nl, et, fi, el, hu, ga, lv, lt, mt, pl, pt, ro, sk, sl, sv, multilingual
Context
FunASR AutoModel path, 31 languages, hotwords, ITN and VAD integration; timestamp and diarization support are listed as future TODOs

Install locally

01
Check runtimeConfirm the backend supports pytorch 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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