bge-m3 vs paraphrase-multilingual-mpnet-base-v2
Specs, VRAM requirements and download trends — updated 20 September 2026.
sentence-transformers · B
Params
280 M
Context
512
30d
9.9 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | bge-m3 | paraphrase-multilingual-mpnet-base-v2 |
|---|---|---|
| Parameters | — | 280 M |
| Architecture | XLMRobertaModel | XLMRobertaModel |
| Context length | 8,192 | 512 |
| Licence | mit | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | 50 |
| Downloads 30d | 38,045,991 | 9,891,491 |
| Downloads all time | 309.1 M | 133.4 M |
| Quantizations on the Hub | — | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-01-27 | 2022-03-02 |
Download trend
Daily snapshots, last 55 days (28 Jul – 20 Sep)
38.2 M9.2 M
bge-m3
paraphrase-multilingual-mpnet-base-v2
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
paraphrase-multilingual-mpnet-base-v2 · fp16
1.8 GB / 24 GB