bge-reranker-v2-m3 vs twitter-xlm-roberta-base-sentiment

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

BAAI · A · Open weights
Params
570 M
Context
8,192
30d
14.8 M
apache-2.0 · commercial OK
cardiffnlp · B · Open weights
Params
—
Context
512
30d
613 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification bge-reranker-v2-m3 twitter-xlm-roberta-base-sentiment
Parameters 570 M —
Architecture XLMRobertaForSequenceClassification XLMRobertaForSequenceClassification
Context length 8,192 512
Licence apache-2.0 —
Commercial use Allowed Unknown
Languages 1 1
Downloads 30d 14,772,977 613,002
Downloads all time 166.8 M 56.6 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 90 days (13 Aug – 10 Nov)

18.9 M613 K
bge-reranker-v2-m3 twitter-xlm-roberta-base-sentiment

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