Project AURIONAI Use-Cases Research & Innovation
speech recognition

Fun-ASR-MLT-Nano

Multilingual Fun-ASR-Nano version (31 languages).

Alibaba (Qwen)Alibaba (Qwen)China
Alibaba (Qwen)
Levelmodel
Classspeech recognition
Parameters800M
Contextnot in the notes
Releasednot in the notes
Opennessunknown
Runs onsingle datacentre GPU
Statusactive

R&D Topics

Massively multilingual speech recognitionproduced by

Identity

Developer
Alibaba (Qwen)
Family
not in the notes
Released
– sources
Weights published
–
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
other
Total parameters
800M sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
audio
Output
text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
unknown
Licence
not in the notes sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
single datacentre GPU
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
31 languages
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. GitHub - modelscope/FunASR: Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diariza github.com https://github.com/modelscope/FunASR

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Fun-ASR-MLT-Nano", https://aurion.semai.id/models/alibaba-fun-asr-mlt-nano/, records of October 2026.