bge-reranker-v2-m3 vs multilingual-sentiment-analysis
Specs, VRAM requirements and download trends — updated 6 August 2026.
tabularisai · B
Params
140 M
Context
512
30d
399 K
cc-by-nc-4.0 · non-commercial
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | bge-reranker-v2-m3 | multilingual-sentiment-analysis |
|---|---|---|
| Parameters | 570 M | 140 M |
| Architecture | XLMRobertaForSequenceClassification | DistilBertForSequenceClassification |
| Context length | 8,192 | 512 |
| Licence | apache-2.0 | cc-by-nc-4.0 |
| Commercial use | Allowed | Not allowed |
| Languages | 1 | 23 |
| Downloads 30d | 19,224,490 | 398,660 |
| Downloads all time | 111.6 M | 5.9 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-03-15 | 2024-12-07 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
19.3 M399 K
bge-reranker-v2-m3
multilingual-sentiment-analysis
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
multilingual-sentiment-analysis · fp16
1.1 GB / 24 GB
bge-reranker-v2-m3 · fp16
3.1 GB / 24 GB