MuQ-large-msd-iter vs mms-lid-1024
Specs, VRAM requirements and download trends — updated 24 October 2026.
OpenMuQ · A · Open weights
Params
330 M
Context
—
30d
352 K
cc-by-nc-4.0 · non-commercial
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 | MuQ-large-msd-iter | mms-lid-1024 |
|---|---|---|
| Parameters | 330 M | 967 M |
| Architecture | — | Wav2Vec2ForSequenceClassification |
| Context length | — | — |
| Licence | cc-by-nc-4.0 | cc-by-nc-4.0 |
| Commercial use | Not allowed | Not allowed |
| Languages | 2 | 158 |
| Downloads 30d | 351,562 | 344,957 |
| Downloads all time | 12.4 M | 1.1 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-12-17 | 2023-06-13 |
Download trend
Daily snapshots, last 89 days (28 Jul – 24 Oct)
462 K196 K
MuQ-large-msd-iter
mms-lid-1024
A overtook B on 23 Oct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
MuQ-large-msd-iter · fp16
2.0 GB / 24 GB
mms-lid-1024 · fp16
4.9 GB / 24 GB
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clap-htsat-fused vs MuQ-large-msd-iter
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clap-htsat-fused vs mms-lid-1024
wav2vec2-large-robust-24-ft-age-gender vs mms-lid-1024
wav2vec2-large-xlsr-53-gender-recognition-librispeech vs MuQ-large-msd-iter
ast-finetuned-audioset-10-10-0.4593 vs MuQ-large-msd-iter