bertweet-base-sentiment-analysis vs roberta-base-go_emotions

Specs, VRAM requirements and download trends — updated 10 November 2026.

finiteautomata · A · Open weights
Params
—
Context
128
30d
216 K
SamLowe · B · Open weights
Params
120 M
Context
512
30d
4.7 M
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification bertweet-base-sentiment-analysis roberta-base-go_emotions
Parameters — 120 M
Architecture RobertaForSequenceClassification RobertaForSequenceClassification
Context length 128 512
Licence — mit
Commercial use Unknown Allowed
Languages 1 1
Downloads 30d 216,066 4,662,377
Downloads all time 37.9 M 106.9 M
Quantizations on the Hub — SAFETENSORS
Gated No No
First seen on the Hub 2022-03-02 2022-09-15

Download trend

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

5.4 M209 K
bertweet-base-sentiment-analysis roberta-base-go_emotions

VRAM side by side

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

roberta-base-go_emotions · fp16 1.1 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons