paraphrase-multilingual-MiniLM-L12-v2 vs nomic-embed-text-v1

Specs, VRAM requirements and download trends — updated 10 November 2026.

sentence-transformers · A · Open weights
Params
120 M
Context
512
30d
27.1 M
apache-2.0 · commercial OK
nomic-ai · B · Open weights
Params
140 M
Context
8,192
30d
836 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
Parameters 120 M 140 M
Architecture BertModel NomicBertModel
Context length 512 8,192
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages 50 1
Downloads 30d 27,107,729 835,626
Downloads all time 671.8 M 60.0 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2022-03-02 2024-01-31

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

57.1 M781 K
paraphrase-multilingual-MiniLM-L12-v2 nomic-embed-text-v1

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

paraphrase-multilingual-MiniLM-L12-v2 · fp16 1.0 GB / 24 GB
✅ Runs comfortably
nomic-embed-text-v1 · fp16 1.1 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons