wav2vec2-large-xlsr-53-gender-recognition-librispeech vs MERT-v1-330M

Specs, VRAM requirements and download trends — updated 6 August 2026.

alefiury · A
Params
320 M
Context
30d
626 K
apache-2.0 · commercial OK
m-a-p · B
Params
Context
30d
560 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 MERT-v1-330M
Parameters 320 M
Architecture Wav2Vec2ForSequenceClassification MERTModel
Context length
Licence apache-2.0 cc-by-nc-4.0
Commercial use Allowed Not allowed
Languages
Downloads 30d 626,341 559,539
Downloads all time 7.9 M 2.4 M
Quantizations on the Hub SAFETENSORS
Gated No No
First seen on the Hub 2023-04-24 2023-03-17

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

911 K554 K
wav2vec2-large-xlsr-53-gender-recognition-librispeech MERT-v1-330M

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

Adjacent comparisons