bge-reranker-v2-m3 vs Bangla-twoclass-Sentiment-Analyzer
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
Arunavaonly · B · Open weights
Params
280 M
Context
512
30d
3.4 M
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | bge-reranker-v2-m3 | Bangla-twoclass-Sentiment-Analyzer |
|---|---|---|
| Parameters | 570 M | 280 M |
| Architecture | XLMRobertaForSequenceClassification | XLMRobertaForSequenceClassification |
| Context length | 8,192 | 512 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 14,772,977 | 3,368,929 |
| Downloads all time | 166.8 M | 7.5 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-03-15 | 2023-09-03 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
18.9 M381 K
bge-reranker-v2-m3
Bangla-twoclass-Sentiment-Analyzer
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Bangla-twoclass-Sentiment-Analyzer · fp16
1.8 GB / 24 GB
bge-reranker-v2-m3 · fp16
3.1 GB / 24 GB