bert-large-cased-finetuned-conll03-english vs wikineural-multilingual-ner

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

dbmdz · A
Params
330 M
Context
512
30d
3.3 M
Babelscape · B
Params
180 M
Context
512
30d
675 K
cc-by-nc-sa-4.0 · non-commercial

Specification comparison

Differences are highlighted; identical values are muted.

Specification bert-large-cased-finetuned-conll03-english wikineural-multilingual-ner
Parameters 330 M 180 M
Architecture BertForTokenClassification BertForTokenClassification
Context length 512 512
Licence cc-by-nc-sa-4.0
Commercial use Unknown Not allowed
Languages 10
Downloads 30d 3,301,943 674,857
Downloads all time 56.3 M 17.7 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2022-03-02 2022-03-02

Download trend

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

4.5 M241 K
bert-large-cased-finetuned-conll03-english wikineural-multilingual-ner

VRAM side by side

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

wikineural-multilingual-ner · fp16 1.3 GB / 24 GB
✅ Runs comfortably
bert-large-cased-finetuned-conll03-english · fp16 2.0 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons