paraphrase-multilingual-MiniLM-L12-v2 vs BioLORD-2023
Specs, VRAM requirements and download trends — updated 3 August 2026.
sentence-transformers · A
Params
120 M
Context
512
30d
58.2 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | paraphrase-multilingual-MiniLM-L12-v2 | BioLORD-2023 |
|---|---|---|
| Parameters | 120 M | 110 M |
| Architecture | BertModel | MPNetModel |
| Context length | 512 | 512 |
| Licence | apache-2.0 | other |
| Commercial use | Allowed | Unknown |
| Languages | 50 | 1 |
| Downloads 30d | 58,154,897 | 446,147 |
| Downloads all time | 535.9 M | 2.3 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2023-11-27 |
Download trend
Daily snapshots, last 11 days (28 Jul – 7 Aug)
60.0 M436 K
paraphrase-multilingual-MiniLM-L12-v2
BioLORD-2023
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
paraphrase-multilingual-MiniLM-L12-v2 · fp16
1.0 GB / 24 GB
BioLORD-2023 · fp16
1.0 GB / 24 GB
Adjacent comparisons
all-MiniLM-L6-v2 vs paraphrase-multilingual-MiniLM-L12-v2
paraphrase-multilingual-MiniLM-L12-v2 vs bge-m3
paraphrase-multilingual-MiniLM-L12-v2 vs all-mpnet-base-v2
paraphrase-multilingual-MiniLM-L12-v2 vs multilingual-e5-small
paraphrase-multilingual-MiniLM-L12-v2 vs nomic-embed-text-v1.5
paraphrase-multilingual-MiniLM-L12-v2 vs paraphrase-multilingual-mpnet-base-v2