paraphrase-multilingual-MiniLM-L12-v2 vs pubmedbert-base-embeddings

Specs, VRAM requirements and download trends — updated 21 September 2026.

sentence-transformers · A
Params
120 M
Context
512
30d
45.7 M
apache-2.0 · commercial OK
NeuML · B
Params
110 M
Context
512
30d
941 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification paraphrase-multilingual-MiniLM-L12-v2 pubmedbert-base-embeddings
Parameters 120 M 110 M
Architecture BertModel BertModel
Context length 512 512
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages 50 1
Downloads 30d 45,742,916 941,036
Downloads all time 608.7 M 16.1 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2022-03-02 2023-10-18

Download trend

Daily snapshots, last 56 days (28 Jul – 21 Sep)

60.0 M764 K
paraphrase-multilingual-MiniLM-L12-v2 pubmedbert-base-embeddings

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
pubmedbert-base-embeddings · fp16 1.0 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons