| 1 | alibi_2_4_256_pile_seed43Lanni-ni | Text Generation | 0 | — | 0 | 27.4M |
| 2 | finbertXenova | Text Classification | 0 | ▲2.2%(up) | 2 | — |
| 3 | Qwen-Image-Edit-Rapid-AIO-GGUFqimlisky | Image Text To Image | 0 | ▲0.9%(up) | 2 | — |
| 4 | OpenMed-NER-OncologyDetect-BioPatient-108MOpenMed | Token Classification | 0 | ▲2.3%(up) | 0 | 108M |
| 5 | Loki-v5.1-i1-GGUFmradermacher | — | 0 | ▲11.0%(up) | 1 | — |
| 6 | Querit-4BQuerit | — | 0 | ▲8.3%(up) | 6 | 201.2K |
| 7 | bert_large_casedkerasformers | Fill Mask | 0 | — | 0 | — |
| 8 | my-setfit-classifier_toxicwaterabbit114 | Text Classification | 0 | ▲11.1%(up) | 0 | 109M |
| 9 | Gemopus-4-E4B-it-i1-GGUFmradermacher | — | 0 | — | 4 | — |
| 10 | LFM2.5-1.2B-Instruct-MLX-6bitlmstudio-community | Text Generation | 0 | ▲1.1%(up) | 3 | 1.2B |
| 11 | chilloutmix_NiPrunedFp32Fixnaonovn | — | 0 | — | 180 | — |
| 12 | OpenMed-PII-Portuguese-BiomedELECTRA-Base-110M-v1-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 13 | Athena-codegemma-2-9b-v1-i1-GGUFmradermacher | — | 0 | ▲9.6%(up) | 1 | — |
| 14 | Mistral-Nemo-Instruct-2407-FP8furiosa-ai | Text Generation | 0 | 0% | 0 | 12.2B |
| 15 | edsreugenesiow | — | 0 | ▲0.6%(up) | 4 | — |
| 16 | lsda-3b-turkish-devumitaksoylu | Text Generation | 0 | — | 3 | 3.1B |
| 17 | age-vitCivitai | — | 0 | ▲0.5%(up) | 2 | 85.8M |
| 18 | VibeVoice-7Bvibevoice | Text to Speech | 0 | ▲2.4%(up) | 215 | 9.3B |
| 19 | langcache-reranker-v1-bceredis | Text Ranking | 0 | ▲9.3%(up) | 0 | 150M |
| 20 | contriever-msmarcofacebook | Embeddings | 0 | ▲0.0%(up) | 33 | — |
| 21 | tiny-random-kimi-k3nikita-savelyev-cerebras | Image Text to Text | 0 | — | 0 | 214M |
| 22 | ArcANE-32B-RLVR-i1-GGUFmradermacher | — | 0 | ▲3.7%(up) | 0 | — |
| 23 | SenseNova-U1.5-8B-MoT-SFTsensenova | Any to Any | 0 | — | 26 | 17.5B |
| 24 | gradient-ai-text-detectorShantanuT01 | Text Classification | 0 | — | 3 | 435M |
| 25 | bert-portuguese-nerlfcc | Token Classification | 0 | ▲3.3%(up) | 9 | — |
| 26 | MiniLM-L12-H384-uncasedmicrosoft | Text Classification | 0 | ▲1.0%(up) | 114 | — |
| 27 | nougat-basefacebook | Image to Text | 0 | ▲1.0%(up) | 189 | 349M |
| 28 | gemma-4-31B-it-scotomaReadyArt | Text Generation | 0 | ▲1.1%(up) | 28 | 32.7B |
| 29 | Llama-3.1-8B-Instruct-Hardened-AnalystApolloRaines | Text Generation | 0 | — | 0 | 8B |
| 30 | vit_base_patch16_224.augreg_in21k_ft_in1ktimm | Image Classification | 0 | ▲2.9%(up) | 0 | 86.6M |
| 31 | whisper-large-v3litert-community | Speech Recognition | 0 | — | 2 | — |
| 32 | twitter-roberta-base-sentiment-latestcardiffnlp | Text Classification | 0 | ▲0.2%(up) | 834 | — |
| 33 | wam_ctxpool_avghmkang | Robotics | 0 | — | 1 | — |
| 34 | cogrpo-n3-ring-qwen25-3b-x-llama32-3b-x-phi4mini-math345-groupB-llama32-end-GGUFtinyopsec | Text Generation | 0 | — | 0 | — |
| 35 | calme-2.1-phi3.5-4b-GGUFbartowski | Text Generation | 0 | ▲3.5%(up) | 3 | — |
| 36 | MiroThinker-v1.5-235Bmiromind-ai | Text Generation | 0 | ▲0.5%(up) | 254 | 235B |
| 37 | qwen3-4b-transcodersmwhanna | — | 0 | ▲0.7%(up) | 7 | — |
| 38 | voiceclap-large-v2laion | Embeddings | 0 | ▲3.7%(up) | 12 | 8.9B |
| 39 | Ateron_Gemma-4-MoonGem-31B-GGUFbartowski | Any to Any | 0 | — | 3 | — |
| 40 | wav2vec2-large-xlsr-53-amharicagkphysics | Speech Recognition | 0 | ▲4.1%(up) | 5 | 316M |
| 41 | ultrareal-fine-tune-GGUFvoid-gryph | — | 0 | ▲0.4%(up) | 1 | — |
| 42 | Llama-3.1-SuperNova-Lite-IMat-GGUFlegraphista | Text Generation | 0 | ▲2.5%(up) | 1 | — |
| 43 | campplusfunasr | Audio Classification | 0 | ▲2.1%(up) | 26 | — |
| 44 | SOLID-StepORLMAIOR-Research | Text Generation | 0 | — | 0 | 8.2B |
| 45 | Exe-Core-Dynamic-V1-GGUFexeterminal | Text Generation | 0 | ▲5.5%(up) | 1 | — |
| 46 | Minos-v1NousResearch | Text Classification | 0 | ▲1.8%(up) | 180 | 396M |
| 47 | OpenMed-NER-SpeciesDetect-ModernClinical-395MOpenMed | Token Classification | 0 | ▲1.4%(up) | 0 | 396M |
| 48 | Europa-B1-i1-GGUFmradermacher | — | 0 | ▲2.8%(up) | 0 | — |
| 49 | deepseek_vit_412m_enc.deepseek_v4_1_flashtimm | Image Feature Extraction | 0 | — | 0 | 485M |
| 50 | OpenMed-NER-SpeciesDetect-ModernMed-149MOpenMed | Token Classification | 0 | ▲1.8%(up) | 0 | 150M |