bge-reranker-v2-m3 vs bert-base-multilingual-uncased-sentiment
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
nlptown · B · Open weights
Params
170 M
Context
512
30d
571 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | bge-reranker-v2-m3 | bert-base-multilingual-uncased-sentiment |
|---|---|---|
| Parameters | 570 M | 170 M |
| Architecture | XLMRobertaForSequenceClassification | BertForSequenceClassification |
| Context length | 8,192 | 512 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 6 |
| Downloads 30d | 14,772,977 | 570,734 |
| Downloads all time | 166.8 M | 68.6 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-03-15 | 2022-03-02 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
18.9 M571 K
bge-reranker-v2-m3
bert-base-multilingual-uncased-sentiment
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
bert-base-multilingual-uncased-sentiment · fp16
1.3 GB / 24 GB
bge-reranker-v2-m3 · fp16
3.1 GB / 24 GB