all-mpnet-base-v2 vs paraphrase-multilingual-MiniLM-L12-v2-onnx-Q
Specs, VRAM requirements and download trends — updated 24 October 2026.
sentence-transformers · A · Open weights
Params
110 M
Context
512
30d
17.9 M
apache-2.0 · commercial OK
Qdrant · B · Open weights
Params
—
Context
512
30d
378 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | all-mpnet-base-v2 | paraphrase-multilingual-MiniLM-L12-v2-onnx-Q |
|---|---|---|
| Parameters | 110 M | — |
| Architecture | MPNetForMaskedLM | BertModel |
| Context length | 512 | 512 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 17,881,048 | 377,967 |
| Downloads all time | 1.4 B | 2.2 M |
| Quantizations on the Hub | SAFETENSORS | — |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2024-01-16 |
Download trend
Daily snapshots, last 89 days (28 Jul – 24 Oct)
28.0 M363 K
all-mpnet-base-v2
paraphrase-multilingual-MiniLM-L12-v2-onnx-Q
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
all-mpnet-base-v2 · fp16
1.0 GB / 24 GB