1,226 models · 1,226 open weights · 200 API-only · refreshed nightly
Open-weights models
Models whose weights are published on Hugging Face — download them and run them on your own hardware. Many are also served by hosted providers; those carry an "Also via API" badge with live prices.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 01 | indonesian-roberta-base-posp-tagger | 120 M | 512 | ✓ mit | 3.4 M | from 1.1 GB |
| 02 | stanford-deidentifier-base | — | 512 | ✓ mit | 1.4 M | — |
| 03 | bert-base-NER | 110 M | 512 | ✓ mit | 1.1 M | from 1.0 GB |
| 04 | bert-large-cased-finetuned-conll03-english | 330 M | 512 | unknown | 737 K | from 2.0 GB |
| 05 | llmlingua-2-bert-base-multilingual-cased-meetingbank | 180 M | 512 | ✓ apache-2.0 | 618 K | from 1.3 GB |
| 06 | punctuate-all | — | 512 | ✓ mit | 595 K | — |
| 07 | wikineural-multilingual-ner | 180 M | 512 | ✗ cc-by-nc-sa-4.0 | 583 K | from 1.3 GB |
| 08 | sat-3l-sm | 210 M | 514 | ✓ mit | 474 K | from 1.5 GB |
| 09 | deid_roberta_i2b2 | 350 M | 512 | ✓ mit | 352 K | from 2.1 GB |
| 10 | bert-small-pii-detection | 30 M | 512 | ✓ apache-2.0 | 342 K | from 0.6 GB |
| 11 | ner-english | — | — | unknown | 272 K | — |
| 12 | CodonTransformer | 90 M | 4 K | ✓ apache-2.0 | 270 K | from 0.9 GB |
| 13 | fullstop-punctuation-multilang-large | 560 M | 512 | ✓ mit | 269 K | from 3.0 GB |
| 14 | gliner2.5-multi-v1 | 287 M | — | ✓ apache-2.0 | 266 K | from 1.8 GB |
| 15 | ner-english-fast | — | — | unknown | 259 K | — |
| 16 | OpenMed-NER-PharmaDetect-SuperClinical-434M | 430 M | 512 | ✓ apache-2.0 | 250 K | from 1.5 GB |
| 17 | xlm-roberta-large-ner-hrl | 560 M | 512 | ✓ afl-3.0 | 246 K | from 3.0 GB |
| 18 | privacy-filter | 1.4 B | 131 K | ✓ apache-2.0 | 212 K | from 6.9 GB |
| 19 | OpenMed-NER-ChemicalDetect-ModernMed-149M | 150 M | 8 K | ✓ apache-2.0 | 212 K | from 0.9 GB |
| 20 | OpenMed-NER-BloodCancerDetect-TinyMed-65M | 65 M | 512 | ✓ apache-2.0 | 210 K | from 0.7 GB |
| 21 | OpenMed-NER-PharmaDetect-BigMed-278M | 278 M | 512 | ✓ apache-2.0 | 209 K | from 1.2 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.