paraphrase-multilingual-MiniLM-L12-v2 vs all_miniLM_L6_v2_with_attentions
Specs, VRAM requirements and download trends — updated 24 October 2026.
sentence-transformers · A · Open weights
Params
120 M
Context
512
30d
40.6 M
apache-2.0 · commercial OK
Qdrant · B · Open weights
Params
—
Context
512
30d
753 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | paraphrase-multilingual-MiniLM-L12-v2 | all_miniLM_L6_v2_with_attentions |
|---|---|---|
| Parameters | 120 M | — |
| Architecture | BertModel | BertModel |
| Context length | 512 | 512 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 50 | 1 |
| Downloads 30d | 40,633,685 | 753,166 |
| Downloads all time | 655.9 M | 7.1 M |
| Quantizations on the Hub | SAFETENSORS | — |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2024-05-09 |
Download trend
Daily snapshots, last 89 days (28 Jul – 24 Oct)
60.0 M450 K
paraphrase-multilingual-MiniLM-L12-v2
all_miniLM_L6_v2_with_attentions
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
paraphrase-multilingual-MiniLM-L12-v2 · 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 nomic-embed-text-v1.5
paraphrase-multilingual-MiniLM-L12-v2 vs multilingual-e5-small
paraphrase-multilingual-MiniLM-L12-v2 vs bge-base-en-v1.5-course-recommender-v5