bge-reranker-base vs Bangla-twoclass-Sentiment-Analyzer

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

BAAI · A
Params
280 M
Context
512
30d
4.6 M
mit · commercial OK
Arunavaonly · B
Params
280 M
Context
512
30d
454 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification bge-reranker-base Bangla-twoclass-Sentiment-Analyzer
Parameters 280 M 280 M
Architecture XLMRobertaForSequenceClassification XLMRobertaForSequenceClassification
Context length 512 512
Licence mit mit
Commercial use Allowed Allowed
Languages 2
Downloads 30d 4,552,180 454,067
Downloads all time 43.5 M 2.7 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2023-09-11 2023-09-03

Download trend

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

4.9 M453 K
bge-reranker-base Bangla-twoclass-Sentiment-Analyzer

VRAM side by side

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

bge-reranker-base · fp16 1.8 GB / 24 GB
✅ Runs comfortably
Bangla-twoclass-Sentiment-Analyzer · fp16 1.8 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons