nomic-embed-text-v1.5 vs multi-qa-MiniLM-L6-cos-v1

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

nomic-ai · A
Params
140 M
Context
2,048
30d
14.5 M
apache-2.0 · commercial OK
sentence-transformers · B
Params
20 M
Context
512
30d
805 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification nomic-embed-text-v1.5 multi-qa-MiniLM-L6-cos-v1
Parameters 140 M 20 M
Architecture NomicBertModel BertModel
Context length 2,048 512
Licence apache-2.0
Commercial use Allowed Unknown
Languages 1 1
Downloads 30d 14,480,893 804,974
Downloads all time 156.5 M 111.4 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-02-10 2022-03-02

Download trend

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

16.6 M751 K
nomic-embed-text-v1.5 multi-qa-MiniLM-L6-cos-v1

VRAM side by side

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

multi-qa-MiniLM-L6-cos-v1 · fp16 0.6 GB / 24 GB
✅ Runs comfortably
nomic-embed-text-v1.5 · fp16 1.1 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons