paraphrase-MiniLM-L3-v2 vs bge-small-en-v1.5-onnx-Q
Specs, VRAM requirements and download trends — updated 10 November 2026.
sentence-transformers · A · Open weights
Params
20 M
Context
512
30d
919 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | paraphrase-MiniLM-L3-v2 | bge-small-en-v1.5-onnx-Q |
|---|---|---|
| Parameters | 20 M | — |
| Architecture | BertModel | BertModel |
| Context length | 512 | 512 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 919,051 | 1,964,421 |
| Downloads all time | 25.5 M | 13.4 M |
| Quantizations on the Hub | SAFETENSORS | — |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2024-01-15 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
2.2 M574 K
paraphrase-MiniLM-L3-v2
bge-small-en-v1.5-onnx-Q
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
paraphrase-MiniLM-L3-v2 · fp16
0.6 GB / 24 GB