all-MiniLM-L6-v2 vs multi-qa-mpnet-base-dot-v1

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

sentence-transformers · A · Open weights
Params
20 M
Context
512
30d
177.6 M
apache-2.0 · commercial OK
sentence-transformers · B · Open weights
Params
110 M
Context
512
30d
1.5 M

Specification comparison

Differences are highlighted; identical values are muted.

Specification all-MiniLM-L6-v2 multi-qa-mpnet-base-dot-v1
Parameters 20 M 110 M
Architecture BertModel MPNetForMaskedLM
Context length 512 512
Licence apache-2.0 —
Commercial use Allowed Unknown
Languages 1 1
Downloads 30d 177,602,109 1,476,000
Downloads all time 4.2 B 81.5 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2022-03-02 2022-03-02

Download trend

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

259.7 M1.4 M
all-MiniLM-L6-v2 multi-qa-mpnet-base-dot-v1

VRAM side by side

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

all-MiniLM-L6-v2 · fp16 0.6 GB / 24 GB
✅ Runs comfortably
multi-qa-mpnet-base-dot-v1 · fp16 1.0 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons