bert-large-cased-finetuned-conll03-english vs OpenMed-NER-PharmaDetect-SuperClinical-434M

Specs, VRAM requirements and download trends — updated 7 August 2026.

dbmdz · A
Params
330 M
Context
512
30d
684 K
OpenMed · B
Params
430 M
Context
512
30d
214 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification bert-large-cased-finetuned-conll03-english OpenMed-NER-PharmaDetect-SuperClinical-434M
Parameters 330 M 430 M
Architecture BertForTokenClassification DebertaV2ForTokenClassification
Context length 512 512
Licence apache-2.0
Commercial use Unknown Allowed
Languages 1
Downloads 30d 684,173 213,618
Downloads all time 51.4 M 4.6 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2022-03-02 2025-07-16

Download trend

Daily snapshots, last 11 days (28 Jul – 7 Aug)

738 K214 K
bert-large-cased-finetuned-conll03-english OpenMed-NER-PharmaDetect-SuperClinical-434M

VRAM side by side

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

OpenMed-NER-PharmaDetect-SuperClinical-434M · fp16 1.5 GB / 24 GB
✅ Runs comfortably
bert-large-cased-finetuned-conll03-english · fp16 2.0 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons