bge-large-en-v1.5 vs MedCPT-Query-Encoder

Specs, VRAM requirements and download trends — updated 10 November 2026.

BAAI · A · Open weights
Params
340 M
Context
512
30d
8.2 M
mit · commercial OK
ncbi · B · Open weights
Params
110 M
Context
512
30d
454 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification bge-large-en-v1.5 MedCPT-Query-Encoder
Parameters 340 M 110 M
Architecture BertModel BertModel
Context length 512 512
Licence mit other
Commercial use Allowed Unknown
Languages 1 —
Downloads 30d 8,166,171 453,977
Downloads all time 179.7 M 4.2 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2023-09-12 2023-10-24

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

13.8 M454 K
bge-large-en-v1.5 MedCPT-Query-Encoder

VRAM side by side

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

MedCPT-Query-Encoder · fp16 1.0 GB / 24 GB
✅ Runs comfortably
bge-large-en-v1.5 · fp16 2.0 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons