nomic-embed-text-v1.5 vs LaBSE
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
sentence-transformers · B · Open weights
Params
470 M
Context
512
30d
965 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | nomic-embed-text-v1.5 | LaBSE |
|---|---|---|
| Parameters | 140 M | 470 M |
| Architecture | NomicBertModel | BertModel |
| Context length | 2,048 | 512 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 110 |
| Downloads 30d | 11,931,543 | 965,309 |
| Downloads all time | 178.2 M | 29.2 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 90 days (13 Aug – 10 Nov)
16.6 M540 K
nomic-embed-text-v1.5
LaBSE
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
nomic-embed-text-v1.5 · fp16
1.1 GB / 24 GB
LaBSE · fp16
2.6 GB / 24 GB