bge-reranker-base vs roberta-base-openai-detector
Specs, VRAM requirements and download trends — updated 24 October 2026.
openai-community · B · Open weights
Params
125 M
Context
512
30d
381 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | bge-reranker-base | roberta-base-openai-detector |
|---|---|---|
| Parameters | 280 M | 125 M |
| Architecture | XLMRobertaForSequenceClassification | RobertaForSequenceClassification |
| Context length | 512 | 512 |
| Licence | mit | mit |
| Commercial use | Allowed | Allowed |
| Languages | 2 | 1 |
| Downloads 30d | 3,029,737 | 380,744 |
| Downloads all time | 53.1 M | 9.9 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 89 days (28 Jul – 24 Oct)
4.9 M223 K
bge-reranker-base
roberta-base-openai-detector
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
roberta-base-openai-detector · fp16
1.1 GB / 24 GB
bge-reranker-base · fp16
1.8 GB / 24 GB