1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
Token classification models
Every model in the catalog — open weights you can self-host and API-only models — with licence or API price, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 01 | indonesian-roberta-base-posp-tagger | 120 M | 512 | ✓ mit | 3.6 M | from 1.1 GB |
| 02 | stanford-deidentifier-base | — | 512 | ✓ mit | 1.5 M | — |
| 03 | bert-base-NER | 110 M | 512 | ✓ mit | 1.1 M | from 1.0 GB |
| 04 | llmlingua-2-bert-base-multilingual-cased-meetingbank | 180 M | 512 | ✓ apache-2.0 | 905 K | from 1.3 GB |
| 05 | ner-german-large | — | — | unknown | 754 K | — |
| 06 | bert-large-cased-finetuned-conll03-english | 330 M | 512 | unknown | 719 K | from 2.0 GB |
| 07 | wikineural-multilingual-ner | 180 M | 512 | ✗ cc-by-nc-sa-4.0 | 649 K | from 1.3 GB |
| 08 | punctuate-all | — | 512 | ✓ mit | 570 K | — |
| 09 | sat-3l-sm | 210 M | 514 | ✓ mit | 460 K | from 1.5 GB |
| 10 | deid_roberta_i2b2 | 350 M | 512 | ✓ mit | 369 K | from 2.1 GB |
| 11 | fullstop-punctuation-multilang-large | 560 M | 512 | ✓ mit | 363 K | from 3.0 GB |
| 12 | OpenMed-NER-PharmaDetect-SuperClinical-434M | 430 M | 512 | ✓ apache-2.0 | 279 K | from 1.5 GB |
| 13 | ner-english | — | — | unknown | 272 K | — |
| 14 | CodonTransformer | 90 M | 4 K | ✓ apache-2.0 | 270 K | from 0.9 GB |
| 15 | gliner2.5-multi-v1 | 287 M | — | ✓ apache-2.0 | 266 K | from 1.8 GB |
| 16 | ner-english-fast | — | — | unknown | 259 K | — |
| 17 | xlm-roberta-large-ner-hrl | 560 M | 512 | ✓ afl-3.0 | 246 K | from 3.0 GB |
| 18 | gliner_large-v2 | 460 M | — | ✓ apache-2.0 | 240 K | from 2.6 GB |
| 19 | OpenMed-NER-BloodCancerDetect-TinyMed-65M | 65 M | 512 | ✓ apache-2.0 | 222 K | from 0.7 GB |
| 20 | OpenMed-NER-ChemicalDetect-ModernMed-149M | 150 M | 8 K | ✓ apache-2.0 | 222 K | from 0.9 GB |
| 21 | OpenMed-NER-PharmaDetect-BigMed-278M | 278 M | 512 | ✓ apache-2.0 | 219 K | from 1.2 GB |
| 22 | OpenMed-NER-DiseaseDetect-BioMed-335M | 334 M | 512 | ✓ apache-2.0 | 214 K | from 1.3 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API; API prices (blended 3:1 input:output per 1M tokens) and Artificial Analysis indices from OpenRouter.