bge-reranker-v2-m3 vs Bangla-twoclass-Sentiment-Analyzer
Specs, VRAM requirements and download trends — updated 21 September 2026.
Arunavaonly · B
Params
280 M
Context
512
30d
422 K
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 | 17,465,321 | 421,675 |
| Downloads all time | 140.6 M | 3.4 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 56 days (28 Jul – 21 Sep)
19.3 M419 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