nomic-embed-text-v1.5 vs embeddinggemma-300m
Specs, VRAM requirements and download trends — updated 10 November 2026.
nomic-ai · A · Open weights
Params
140 M
Context
2,048
30d
11.9 M
apache-2.0 · commercial OK
google · B · Open weights
Params
300 M
Context
—
30d
1.2 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 | 11,931,543 | 1,160,876 |
| Downloads all time | 178.2 M | 22.1 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 90 days (13 Aug – 10 Nov)
16.6 M1.2 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
embeddinggemma-300m · fp16
1.9 GB / 24 GB