bge-reranker-large vs FRIDA

Specs, VRAM requirements and download trends — updated 24 October 2026.

BAAI · A · Open weights
Params
560 M
Context
512
30d
1.9 M
mit · commercial OK
ai-forever · B · Open weights
Params
823 M
Context
—
30d
524 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification bge-reranker-large FRIDA
Parameters 560 M 823 M
Architecture XLMRobertaForSequenceClassification T5EncoderModel
Context length 512 —
Licence mit mit
Commercial use Allowed Allowed
Languages 2 2
Downloads 30d 1,904,520 523,893
Downloads all time 37.0 M 4.2 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2023-09-12 2024-12-26

Download trend

Daily snapshots, last 89 days (28 Jul – 24 Oct)

2.8 M374 K
bge-reranker-large FRIDA

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

bge-reranker-large · fp16 3.0 GB / 24 GB
✅ Runs comfortably
FRIDA · fp16 4.2 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons