paraphrase-multilingual-MiniLM-L12-v2 vs Nemotron-3-Embed-1B-BF16

Specs, VRAM requirements and download trends — updated 6 August 2026.

sentence-transformers · A
Params
120 M
Context
512
30d
59.4 M
apache-2.0 · commercial OK
nvidia · B
Params
1.1 B
Context
262,144
30d
456 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification paraphrase-multilingual-MiniLM-L12-v2 Nemotron-3-Embed-1B-BF16
Parameters 120 M 1.1 B
Architecture BertModel Ministral3Model
Context length 512 262,144
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages 50 34
Downloads 30d 59,393,322 455,847
Downloads all time 535.2 M 457 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2022-03-02 2026-07-14

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

60.0 M446 K
paraphrase-multilingual-MiniLM-L12-v2 Nemotron-3-Embed-1B-BF16

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
Nemotron-3-Embed-1B-BF16 · fp16 @ 256K ctx 8.5 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons