bge-reranker-v2-m3 vs bertweet-base-sentiment-analysis

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

BAAI · A
Params
570 M
Context
8,192
30d
19.2 M
apache-2.0 · commercial OK
finiteautomata · B
Params
Context
128
30d
1.5 M

Specification comparison

Differences are highlighted; identical values are muted.

Specification bge-reranker-v2-m3 bertweet-base-sentiment-analysis
Parameters 570 M
Architecture XLMRobertaForSequenceClassification RobertaForSequenceClassification
Context length 8,192 128
Licence apache-2.0
Commercial use Allowed Unknown
Languages 1 1
Downloads 30d 19,224,490 1,483,885
Downloads all time 111.6 M 36.6 M
Quantizations on the Hub SAFETENSORS
Gated No No
First seen on the Hub 2024-03-15 2022-03-02

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

19.3 M1.5 M
bge-reranker-v2-m3 bertweet-base-sentiment-analysis

VRAM side by side

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

bge-reranker-v2-m3 · fp16 3.1 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons