bge-reranker-base vs bert-base-multilingual-uncased-sentiment
Specs, VRAM requirements and download trends — updated 10 November 2026.
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-base | bert-base-multilingual-uncased-sentiment |
|---|---|---|
| Parameters | 280 M | 170 M |
| Architecture | XLMRobertaForSequenceClassification | BertForSequenceClassification |
| Context length | 512 | 512 |
| Licence | mit | mit |
| Commercial use | Allowed | Allowed |
| Languages | 2 | 6 |
| Downloads 30d | 2,364,917 | 570,734 |
| Downloads all time | 54.6 M | 68.6 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-09-11 | 2022-03-02 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
4.2 M571 K
bge-reranker-base
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-base · fp16
1.8 GB / 24 GB