bert-large-cased-finetuned-conll03-english vs OpenMed-NER-PharmaDetect-BigMed-278M
Specs, VRAM requirements and download trends — updated 10 November 2026.
OpenMed · B · Open weights
Params
278 M
Context
512
30d
219 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-BigMed-278M |
|---|---|---|
| Parameters | 330 M | 278 M |
| Architecture | BertForTokenClassification | XLMRobertaForTokenClassification |
| Context length | 512 | 512 |
| Licence | — | apache-2.0 |
| Commercial use | Unknown | Allowed |
| Languages | — | 1 |
| Downloads 30d | 718,986 | 219,203 |
| Downloads all time | 57.5 M | 3.6 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 90 days (13 Aug – 10 Nov)
4.5 M209 K
bert-large-cased-finetuned-conll03-english
OpenMed-NER-PharmaDetect-BigMed-278M
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
OpenMed-NER-PharmaDetect-BigMed-278M · fp16
1.2 GB / 24 GB
bert-large-cased-finetuned-conll03-english · fp16
2.0 GB / 24 GB
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bert-large-cased-finetuned-conll03-english vs piiranha-v1-detect-personal-information
bert-large-cased-finetuned-conll03-english vs ner-german-large
bert-large-cased-finetuned-conll03-english vs punctuate-all
bert-large-cased-finetuned-conll03-english vs llmlingua-2-bert-base-multilingual-cased-meetingbank