nomic-embed-text-v1.5 vs paraphrase-multilingual-MiniLM-L12-v2-onnx-Q
Specs, VRAM requirements and download trends — updated 24 October 2026.
nomic-ai · A · Open weights
Params
140 M
Context
2,048
30d
12.4 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 | nomic-embed-text-v1.5 | paraphrase-multilingual-MiniLM-L12-v2-onnx-Q |
|---|---|---|
| Parameters | 140 M | — |
| Architecture | NomicBertModel | BertModel |
| Context length | 2,048 | 512 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 12,422,865 | 377,967 |
| Downloads all time | 170.9 M | 2.2 M |
| Quantizations on the Hub | SAFETENSORS | — |
| Gated | No | No |
| First seen on the Hub | 2024-02-10 | 2024-01-16 |
Download trend
Daily snapshots, last 89 days (28 Jul – 24 Oct)
16.6 M363 K
nomic-embed-text-v1.5
paraphrase-multilingual-MiniLM-L12-v2-onnx-Q
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
nomic-embed-text-v1.5 · fp16
1.1 GB / 24 GB