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

Specs, VRAM requirements and download trends — updated 22 September 2026.

BAAI · A
Params
570 M
Context
8,192
30d
17.4 M
apache-2.0 · commercial OK
cardiffnlp · B
Params
Context
512
30d
229 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification bge-reranker-v2-m3 twitter-xlm-roberta-base-sentiment-multilingual
Parameters 570 M
Architecture XLMRobertaForSequenceClassification XLMRobertaForSequenceClassification
Context length 8,192 512
Licence apache-2.0
Commercial use Allowed Unknown
Languages 1
Downloads 30d 17,385,800 228,782
Downloads all time 141.1 M 11.5 M
Quantizations on the Hub SAFETENSORS
Gated No No
First seen on the Hub 2024-03-15 2022-12-01

Download trend

57 days of snapshots recorded — chart in 0 days.

141.1 M
bge-reranker-v2-m3 · all-time downloads
11.5 M
twitter-xlm-roberta-base-sentiment-multilingual · all-time downloads

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