wikineural-multilingual-ner vs privacy-filter-multilingual-GGUF
Specs, VRAM requirements and download trends — updated 7 October 2026.
Babelscape · A · Open weights
Params
180 M
Context
512
30d
649 K
cc-by-nc-sa-4.0 · non-commercial
LocalAI-io · B · Open weights
Params
—
Context
—
30d
216 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | wikineural-multilingual-ner | privacy-filter-multilingual-GGUF |
|---|---|---|
| Parameters | 180 M | — |
| Architecture | BertForTokenClassification | — |
| Context length | 512 | — |
| Licence | cc-by-nc-sa-4.0 | apache-2.0 |
| Commercial use | Not allowed | Allowed |
| Languages | 10 | 16 |
| Downloads 30d | 649,452 | 215,696 |
| Downloads all time | 18.8 M | 656 K |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2026-06-04 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
693 K216 K
wikineural-multilingual-ner
privacy-filter-multilingual-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
wikineural-multilingual-ner · fp16
1.3 GB / 24 GB
Adjacent comparisons
indonesian-roberta-base-posp-tagger vs wikineural-multilingual-ner
stanford-deidentifier-base vs wikineural-multilingual-ner
indonesian-roberta-base-posp-tagger vs privacy-filter-multilingual-GGUF
wikineural-multilingual-ner vs llmlingua-2-bert-base-multilingual-cased-meetingbank
wikineural-multilingual-ner vs ner-german-large
bert-base-NER vs wikineural-multilingual-ner