paraphrase-multilingual-MiniLM-L12-v2 vs nomic-embed-text-v1.5-GGUF
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
nomic-ai · B · Open weights
Params
140 M
Context
2,048
30d
538 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | paraphrase-multilingual-MiniLM-L12-v2 | nomic-embed-text-v1.5-GGUF |
|---|---|---|
| Parameters | 120 M | 140 M |
| Architecture | BertModel | — |
| Context length | 512 | 2,048 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 50 | 1 |
| Downloads 30d | 40,633,685 | 538,242 |
| Downloads all time | 655.9 M | 2.0 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2024-02-14 |
Download trend
Daily snapshots, last 89 days (28 Jul – 24 Oct)
60.0 M375 K
paraphrase-multilingual-MiniLM-L12-v2
nomic-embed-text-v1.5-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
nomic-embed-text-v1.5-GGUF · Q4_0
0.6 GB / 24 GB
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