MERT-v1-330M vs hubert-large-speech-emotion-recognition-russian-dusha-finetuned

Specs, VRAM requirements and download trends — updated 6 August 2026.

m-a-p · A
Params
Context
30d
560 K
cc-by-nc-4.0 · non-commercial
xbgoose · B
Params
320 M
Context
30d
248 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 559,539 247,910
Downloads all time 2.4 M 4.1 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 10 days (28 Jul – 6 Aug)

581 K248 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
✅ Runs comfortably

Adjacent comparisons