finbert vs bertweet-base-sentiment-analysis

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

ProsusAI · A · Open weights
Params
110 M
Context
512
30d
3.3 M
cc-by-nc-sa-4.0 · non-commercial
finiteautomata · B · Open weights
Params
—
Context
128
30d
216 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification finbert bertweet-base-sentiment-analysis
Parameters 110 M —
Architecture BertForSequenceClassification RobertaForSequenceClassification
Context length 512 128
Licence cc-by-nc-sa-4.0 —
Commercial use Not allowed Unknown
Languages 1 1
Downloads 30d 3,256,194 216,066
Downloads all time 127.0 M 37.9 M
Quantizations on the Hub SAFETENSORS —
Gated No No
First seen on the Hub 2022-03-02 2022-03-02

Download trend

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

5.5 M209 K
finbert bertweet-base-sentiment-analysis

VRAM side by side

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

finbert · fp16 1.0 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons