ms-marco-MiniLM-L-6-v2 vs prokbert-mini-promoter

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

Xenova · A · Open weights
Params
—
Context
512
30d
710 K
neuralbioinfo · B · Open weights
Params
20 M
Context
1,024
30d
302 K
cc-by-nc-4.0 · non-commercial

Specification comparison

Differences are highlighted; identical values are muted.

Specification ms-marco-MiniLM-L-6-v2 prokbert-mini-promoter
Parameters — 20 M
Architecture BertForSequenceClassification ProkBertForSequenceClassification
Context length 512 1,024
Licence — cc-by-nc-4.0
Commercial use Unknown Not allowed
Languages — —
Downloads 30d 710,456 302,206
Downloads all time 3.4 M 637 K
Quantizations on the Hub — SAFETENSORS
Gated No No
First seen on the Hub 2024-01-04 2024-01-31

Download trend

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

1.2 M302 K
ms-marco-MiniLM-L-6-v2 prokbert-mini-promoter A overtook B on 19 Aug

VRAM side by side

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

prokbert-mini-promoter · fp16 0.6 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons