wav2vec2-large-xlsr-53-gender-recognition-librispeech vs MuQ-large-msd-iter

Specs, VRAM requirements and download trends — updated 10 November 2026.

alefiury · A · Open weights
Params
320 M
Context
—
30d
835 K
apache-2.0 · commercial OK
OpenMuQ · B · Open weights
Params
330 M
Context
—
30d
208 K
cc-by-nc-4.0 · non-commercial

Specification comparison

Differences are highlighted; identical values are muted.

Specification wav2vec2-large-xlsr-53-gender-recognition-librispeech MuQ-large-msd-iter
Parameters 320 M 330 M
Architecture Wav2Vec2ForSequenceClassification —
Context length — —
Licence apache-2.0 cc-by-nc-4.0
Commercial use Allowed Not allowed
Languages — 2
Downloads 30d 834,791 207,949
Downloads all time 10.4 M 12.5 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2023-04-24 2024-12-17

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

1.1 M204 K
wav2vec2-large-xlsr-53-gender-recognition-librispeech MuQ-large-msd-iter

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

wav2vec2-large-xlsr-53-gender-recognition-librispeech · fp16 1.9 GB / 24 GB
✅ Runs comfortably
MuQ-large-msd-iter · fp16 2.0 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons