wikineural-multilingual-ner vs privacy-filter-nemotron-GGUF
Specs, VRAM requirements and download trends — updated 21 September 2026.
Babelscape · A
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 | wikineural-multilingual-ner | privacy-filter-nemotron-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 | 1 |
| Downloads 30d | 674,857 | 944,430 |
| Downloads all time | 17.7 M | 1.5 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2026-06-19 |
Download trend
Daily snapshots, last 56 days (28 Jul – 21 Sep)
963 K234 K
wikineural-multilingual-ner
privacy-filter-nemotron-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
bert-large-cased-finetuned-conll03-english vs privacy-filter-nemotron-GGUF
indonesian-roberta-base-posp-tagger vs privacy-filter-nemotron-GGUF
stanford-deidentifier-base vs privacy-filter-nemotron-GGUF
bert-base-NER vs privacy-filter-nemotron-GGUF
bert-large-cased-finetuned-conll03-english vs wikineural-multilingual-ner
indonesian-roberta-base-posp-tagger vs wikineural-multilingual-ner