wikineural-multilingual-ner vs llmlingua-2-bert-base-multilingual-cased-meetingbank

Specs, VRAM requirements and download trends — updated 6 August 2026.

Babelscape · A
Params
180 M
Context
512
30d
273 K
cc-by-nc-sa-4.0 · non-commercial
microsoft · B
Params
180 M
Context
512
30d
493 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification wikineural-multilingual-ner llmlingua-2-bert-base-multilingual-cased-meetingbank
Parameters 180 M 180 M
Architecture BertForTokenClassification BertForTokenClassification
Context length 512 512
Licence cc-by-nc-sa-4.0 apache-2.0
Commercial use Not allowed Allowed
Languages 10
Downloads 30d 273,362 493,156
Downloads all time 16.7 M 3.6 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2022-03-02 2024-03-17

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

493 K273 K
wikineural-multilingual-ner llmlingua-2-bert-base-multilingual-cased-meetingbank

VRAM side by side

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

wikineural-multilingual-ner · fp16 1.3 GB / 24 GB
✅ Runs comfortably
llmlingua-2-bert-base-multilingual-cased-meetingbank · fp16 1.3 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons