nomic-embed-text-v1.5 vs embeddinggemma-300m

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

nomic-ai · A
Params
140 M
Context
2,048
30d
15.7 M
apache-2.0 · commercial OK
google · B
Params
300 M
Context
30d
2.1 M
gemma licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification nomic-embed-text-v1.5 embeddinggemma-300m
Parameters 140 M 300 M
Architecture NomicBertModel Gemma3TextModel
Context length 2,048
Licence apache-2.0 gemma
Commercial use Allowed Conditional
Languages 1
Downloads 30d 15,688,935 2,060,232
Downloads all time 132.5 M 14.4 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No Yes — accept licence
First seen on the Hub 2024-02-10 2025-07-17

Download trend

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

15.7 M1.9 M
nomic-embed-text-v1.5 embeddinggemma-300m

VRAM side by side

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

nomic-embed-text-v1.5 · fp16 1.1 GB / 24 GB
✅ Runs comfortably
embeddinggemma-300m · fp16 1.9 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons