Trending Models
Models with the strongest trending signal reported by the source right now. How this is measured
| # | Model | Task | DL 30D | 7D | Likes | Params |
|---|---|---|---|---|---|---|
| 1 | Aura-4B-GGUFbartowski | Text Generation | 0 | — | ||
| 2 | DataDecide-dclm-baseline-1Ballenai | — | 0 | 65.1%(up) | ||
| 3 | xtremedistil-l6-h256-mnli-fever-anli-ling-binaryMoritzLaurer | Zero-Shot Classification | 0 | 0.2%(up) | ||
| 4 | zoe-depth-controlnet-xlokaris | — | 0 | 0.1%(up) | ||
| 5 | InternVL3-9BOpenGVLab | Image Text to Text | 0 | 0.6%(up) | ||
| 6 | aquif-3.5-Max-42B-A3B-i1-GGUFmradermacher | — | 0 | 1.3%(up) | ||
| 7 | OlmoEarth-v1_2-Smallallenai | Image Feature Extraction | 0 | 27.5%(up) | ||
| 8 | DaringMaid-20B-GGUFTheBloke | Text Generation | 0 | — | ||
| 9 | whisper-small-nigerian-pidginocansey | Speech Recognition | 0 | — | ||
| 10 | Anima-2.9Bamiwqdqd | Text to Image | 0 | 0.7%(up) | ||
| 11 | prose-rewriter-4b-v2-i1-GGUFmradermacher | — | 0 | — | ||
| 12 | OpenMed-PII-Spanish-BiomedBERT-Base-110M-v1-mlxOpenMed | Token Classification | 0 | — | ||
| 13 | DictaLM-3.0-Nemotron-12B-Instructdicta-il | Text Generation | 0 | 1.0%(up) | ||
| 14 | arb-arab-100mb-100mb_seed3407fpadovani | Text Generation | 0 | — | ||
| 15 | RUNorm-taggerRUNorm | Token Classification | 0 | 0.8%(up) | ||
| 16 | OpenMed-PII-Telugu-SuperMedical-Large-355M-v1-mlxOpenMed | Token Classification | 0 | — |