ast-finetuned-audioset-10-10-0.4593 vs hubert-large-speech-emotion-recognition-russian-dusha-finetuned

Specs, VRAM requirements and download trends — updated 2 November 2026.

MIT · A · Open weights
Params
90 M
Context
—
30d
1.9 M
bsd-3-clause · commercial OK
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 ast-finetuned-audioset-10-10-0.4593 hubert-large-speech-emotion-recognition-russian-dusha-finetuned
Parameters 90 M 320 M
Architecture ASTForAudioClassification HubertForSequenceClassification
Context length — —
Licence bsd-3-clause apache-2.0
Commercial use Allowed Allowed
Languages — 1
Downloads 30d 1,897,822 214,389
Downloads all time 2.2 B 4.8 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2022-11-14 2023-05-28

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

1.9 M213 K
ast-finetuned-audioset-10-10-0.4593 hubert-large-speech-emotion-recognition-russian-dusha-finetuned

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

ast-finetuned-audioset-10-10-0.4593 · fp16 0.9 GB / 24 GB
✅ Runs comfortably
hubert-large-speech-emotion-recognition-russian-dusha-finetuned · fp16 1.9 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons