nomic-embed-text-v1.5 vs text2vec-base-chinese

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
shibing624 · B
Params
100 M
Context
512
30d
824 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification nomic-embed-text-v1.5 text2vec-base-chinese
Parameters 140 M 100 M
Architecture NomicBertModel BertModel
Context length 2,048 512
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages 1 1
Downloads 30d 15,688,935 824,155
Downloads all time 132.5 M 34.7 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 10 days (28 Jul – 6 Aug)

15.7 M784 K
nomic-embed-text-v1.5 text2vec-base-chinese

VRAM side by side

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

text2vec-base-chinese · fp16 1.0 GB / 24 GB
✅ Runs comfortably
nomic-embed-text-v1.5 · fp16 1.1 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons