bge-reranker-large vs deepset-mxbai-embed-de-large-v1
Specs, VRAM requirements and download trends — updated 10 November 2026.
mixedbread-ai · B · Open weights
Params
487 M
Context
512
30d
504 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | bge-reranker-large | deepset-mxbai-embed-de-large-v1 |
|---|---|---|
| Parameters | 560 M | 487 M |
| Architecture | XLMRobertaForSequenceClassification | XLMRobertaModel |
| Context length | 512 | 512 |
| Licence | mit | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 2 | 2 |
| Downloads 30d | 2,041,111 | 504,335 |
| Downloads all time | 38.3 M | 4.3 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-09-12 | 2024-07-12 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
2.8 M354 K
bge-reranker-large
deepset-mxbai-embed-de-large-v1
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
deepset-mxbai-embed-de-large-v1 · fp16
1.6 GB / 24 GB
bge-reranker-large · fp16
3.0 GB / 24 GB