MuQ-large-msd-iter vs hubert-large-speech-emotion-recognition-russian-dusha-finetuned
Specs, VRAM requirements and download trends — updated 6 August 2026.
xbgoose · B
Params
320 M
Context
—
30d
248 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | MuQ-large-msd-iter | hubert-large-speech-emotion-recognition-russian-dusha-finetuned |
|---|---|---|
| Parameters | 330 M | 320 M |
| Architecture | — | HubertForSequenceClassification |
| Context length | — | — |
| Licence | cc-by-nc-4.0 | apache-2.0 |
| Commercial use | Not allowed | Allowed |
| Languages | 2 | 1 |
| Downloads 30d | 291,843 | 247,910 |
| Downloads all time | 11.4 M | 4.1 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-12-17 | 2023-05-28 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
304 K248 K
MuQ-large-msd-iter
hubert-large-speech-emotion-recognition-russian-dusha-finetuned
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
hubert-large-speech-emotion-recognition-russian-dusha-finetuned · fp16
1.9 GB / 24 GB
MuQ-large-msd-iter · fp16
2.0 GB / 24 GB
Adjacent comparisons
clap-htsat-fused vs MuQ-large-msd-iter
clap-htsat-fused vs hubert-large-speech-emotion-recognition-russian-dusha-finetuned
wav2vec2-large-xlsr-53-gender-recognition-librispeech vs MuQ-large-msd-iter
MERT-v1-330M vs MuQ-large-msd-iter
wav2vec2-large-xlsr-53-gender-recognition-librispeech vs hubert-large-speech-emotion-recognition-russian-dusha-finetuned
MERT-v1-330M vs hubert-large-speech-emotion-recognition-russian-dusha-finetuned