MERT-v1-330M vs hubert-large-speech-emotion-recognition-russian-dusha-finetuned
Specs, VRAM requirements and download trends — updated 2 September 2026.
xbgoose · B · Open weights
Params
320 M
Context
—
30d
214 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | MERT-v1-330M | hubert-large-speech-emotion-recognition-russian-dusha-finetuned |
|---|---|---|
| Parameters | — | 320 M |
| Architecture | MERTModel | HubertForSequenceClassification |
| Context length | — | — |
| Licence | cc-by-nc-4.0 | apache-2.0 |
| Commercial use | Not allowed | Allowed |
| Languages | — | 1 |
| Downloads 30d | 207,370 | 214,389 |
| Downloads all time | 2.5 M | 4.8 M |
| Quantizations on the Hub | — | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-03-17 | 2023-05-28 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
571 K207 K
MERT-v1-330M
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
Adjacent comparisons
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MERT-v1-330M vs wav2vec2-large-robust-24-ft-age-gender
MERT-v1-330M vs ced-gguf
wav2vec2-large-robust-12-ft-emotion-msp-dim vs MERT-v1-330M