bge-reranker-v2-m3 vs roberta-base-openai-detector
Specs, VRAM requirements and download trends — updated 24 October 2026.
BAAI · A · Open weights
Params
570 M
Context
8,192
30d
14.7 M
apache-2.0 · commercial OK
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-v2-m3 | roberta-base-openai-detector |
|---|---|---|
| Parameters | 570 M | 125 M |
| Architecture | XLMRobertaForSequenceClassification | RobertaForSequenceClassification |
| Context length | 8,192 | 512 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 1 |
| Downloads 30d | 14,678,539 | 380,744 |
| Downloads all time | 157.5 M | 9.9 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 89 days (28 Jul – 24 Oct)
19.3 M223 K
bge-reranker-v2-m3
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-v2-m3 · fp16
3.1 GB / 24 GB