nomic-embed-text-v1.5 vs bge-base-en-v1.5-course-recommender-v5

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
datasocietyco · B
Params
110 M
Context
512
30d
1.8 M

Specification comparison

Differences are highlighted; identical values are muted.

Specification nomic-embed-text-v1.5 bge-base-en-v1.5-course-recommender-v5
Parameters 140 M 110 M
Architecture NomicBertModel BertModel
Context length 2,048 512
Licence apache-2.0
Commercial use Allowed Unknown
Languages 1
Downloads 30d 15,688,935 1,819,048
Downloads all time 132.5 M 6.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-02-10 2025-01-09

Download trend

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

15.7 M779 K
nomic-embed-text-v1.5 bge-base-en-v1.5-course-recommender-v5

VRAM side by side

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

bge-base-en-v1.5-course-recommender-v5 · fp16 1.0 GB / 24 GB
✅ Runs comfortably
nomic-embed-text-v1.5 · fp16 1.1 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons