wav2vec2-large-robust-12-ft-emotion-msp-dim vs MuQ-large-msd-iter
Specs, VRAM requirements and download trends — updated 6 August 2026.
audeering · A
Params
170 M
Context
—
30d
751 K
cc-by-nc-sa-4.0 · non-commercial
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | wav2vec2-large-robust-12-ft-emotion-msp-dim | MuQ-large-msd-iter |
|---|---|---|
| Parameters | 170 M | 330 M |
| Architecture | Wav2Vec2ForSpeechClassification | — |
| Context length | — | — |
| Licence | cc-by-nc-sa-4.0 | cc-by-nc-4.0 |
| Commercial use | Not allowed | Not allowed |
| Languages | 1 | 2 |
| Downloads 30d | 751,189 | 291,843 |
| Downloads all time | 15.1 M | 11.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-04-06 | 2024-12-17 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
751 K289 K
wav2vec2-large-robust-12-ft-emotion-msp-dim
MuQ-large-msd-iter
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
wav2vec2-large-robust-12-ft-emotion-msp-dim · fp16
1.3 GB / 24 GB
MuQ-large-msd-iter · fp16
2.0 GB / 24 GB
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wav2vec2-large-robust-12-ft-emotion-msp-dim vs MERT-v1-330M
wav2vec2-large-xlsr-53-gender-recognition-librispeech vs wav2vec2-large-robust-12-ft-emotion-msp-dim
wav2vec2-large-xlsr-53-gender-recognition-librispeech vs MuQ-large-msd-iter