wav2vec2-large-xlsr-53-gender-recognition-librispeech vs mms-lid-1024

Specs, VRAM requirements and download trends — updated 24 October 2026.

alefiury · A · Open weights
Params
320 M
Context
—
30d
540 K
apache-2.0 · commercial OK
facebook · B · Open weights
Params
967 M
Context
—
30d
345 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 mms-lid-1024
Parameters 320 M 967 M
Architecture Wav2Vec2ForSequenceClassification Wav2Vec2ForSequenceClassification
Context length — —
Licence apache-2.0 cc-by-nc-4.0
Commercial use Allowed Not allowed
Languages — 158
Downloads 30d 540,246 344,957
Downloads all time 9.8 M 1.1 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2023-04-24 2023-06-13

Download trend

Daily snapshots, last 89 days (28 Jul – 24 Oct)

1.1 M196 K
wav2vec2-large-xlsr-53-gender-recognition-librispeech mms-lid-1024

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
mms-lid-1024 · fp16 4.9 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons