bge-base-en-v1.5 vs sentence-bert-base-ja-mean-tokens-v2

Specs, VRAM requirements and download trends — updated 21 September 2026.

Xenova · A
Params
110 M
Context
512
30d
2.5 M
mit · commercial OK
sonoisa · B
Params
110 M
Context
512
30d
474 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification bge-base-en-v1.5 sentence-bert-base-ja-mean-tokens-v2
Parameters 110 M 110 M
Architecture BertModel BertModel
Context length 512 512
Licence mit cc-by-sa-4.0
Commercial use Allowed Unknown
Languages 1
Downloads 30d 2,477,276 473,919
Downloads all time 32.5 M 10.0 M
Quantizations on the Hub SAFETENSORS
Gated No No
First seen on the Hub 2023-09-13 2022-03-02

Download trend

Daily snapshots, last 56 days (28 Jul – 21 Sep)

2.5 M467 K
bge-base-en-v1.5 sentence-bert-base-ja-mean-tokens-v2

VRAM side by side

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

sentence-bert-base-ja-mean-tokens-v2 · fp16 1.0 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons