| 1 | OpenMed-NER-PathologyDetect-SuperMedical-355M-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 2 | deberta-v3-large-zeroshot-v1MoritzLaurer | Zero-Shot Classification | 0 | ▲0.0%(up) | 19 | 435M |
| 3 | dinov3-vitl16-pretrain-lvd1689mkerasformers | Image Feature Extraction | 0 | — | 0 | — |
| 4 | Hulu-Med-235A22-i1-GGUFmradermacher | Image to Text | 0 | ▲0.6%(up) | 1 | — |
| 5 | Blue-Rose-Coder-12.3B-Instruct-i1-GGUFmradermacher | — | 0 | — | 3 | — |
| 6 | OCC-RAG-0.6Bocc-ai | Text Generation | 0 | 0% | 2 | 596M |
| 7 | gemma-2-27b-it-SimPO-37K-i1-GGUFmradermacher | — | 0 | ▲5.5%(up) | 5 | — |
| 8 | MiniMax-Music3-bf16mlx-community | Text to Audio | 0 | — | 2 | 11.7B |
| 9 | OpenMed-PII-ClinicalE5-Large-335M-v1-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 10 | NOESIS-Qwopus3.5-0.8B-v3-Inspector-MLXAMAImedia | Text Generation | 0 | — | 0 | 752M |
| 11 | robbertje-1-gb-mergedDTAI-KULeuven | Fill Mask | 0 | ▲0.0%(up) | 0 | — |
| 12 | wav2vec2-FR-7K-largeLeBenchmark | Embeddings | 0 | ▲0.1%(up) | 13 | 315M |
| 13 | convnext_xlarge.fb_in22k_ft_in1k_384timm | Image Classification | 0 | ▲0.1%(up) | 1 | 350M |
| 14 | TheDrummer_Big-Alice-28B-v1-GGUFbartowski | Text Generation | 0 | ▲2.9%(up) | 5 | — |
| 15 | Qwen3-30B-A3B-Thinking-2507unsloth | Text Generation | 0 | ▲0.5%(up) | 13 | 30.5B |
| 16 | Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS-i1-GGUFmarafx2007 | — | 0 | ▲5.0%(up) | 0 | — |
| 17 | DavidAU.L3.1-Dark-Reasoning-LewdPlay-evo-Hermes-R1-Uncensored-8B-GGUFDevQuasar | Text Generation | 0 | ▲1.4%(up) | 14 | — |
| 18 | OpenMed-NER-PharmaDetect-BioMed-335M-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 19 | table-transformer-structure-recognition-v1.1-finmicrosoft | Object Detection | 0 | ▲2.1%(up) | 2 | 28.8M |
| 20 | GLM-4.5-DRAFT-0.6B-v3.0-i1-GGUFmradermacher | — | 0 | — | 1 | — |
| 21 | Nemo-12b-TheAnswer-v0.1-E2-GGUFbartowski | Text Generation | 0 | — | 1 | — |
| 22 | NeuralDaredevil-8B-abliterated-x-Llama-3-8B-instruct-GGUFmradermacher | — | 0 | 0% | 0 | — |
| 23 | OpenMed-NER-OncologyDetect-ElectraMed-33M-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 24 | SomaliLM-150M-Instruct-GGUFmradermacher | — | 0 | — | 0 | — |
| 25 | Qwen3.6-27B-Claude-Mythos-Distilled-MTP-GGUFchatqaq | Image Text to Text | 0 | ▲0.8%(up) | 23 | — |
| 26 | Qwen2.5-VL-3B-Instruct-GGUFDhruvalLabs | Image Text to Text | 0 | ▲8.3%(up) | 0 | — |
| 27 | OpenModels4all_-_gemma-1.1-7b-it-ggufRichardErkhov | — | 0 | 0% | 0 | — |
| 28 | maskformer-swin-small-cocofacebook | Image Segmentation | 0 | ▲2.6%(up) | 4 | 63.1M |
| 29 | qwen3-4b-heretic-zimageLockout | — | 0 | ▲3.0%(up) | 40 | — |
| 30 | medibotPoorvaja | Text Generation | 0 | — | 0 | — |
| 31 | Qwen3-4B-abliterated-f32-GGUFsprithivMLmods | Text Generation | 0 | ▲5.1%(up) | 2 | — |
| 32 | Krakowiak-7B-v2-i1-GGUFmradermacher | — | 0 | — | 0 | — |
| 33 | udm_doc_extract_qwen3.5_2BoklenAI | Text Generation | 0 | — | 0 | 1.9B |
| 34 | Qwopus3.6-35B-A3B-Coder-FP8Jackrong | Text Generation | 0 | ▲0.4%(up) | 13 | 36B |
| 35 | mergekit-73MergekitCloud | Text Generation | 0 | — | 0 | 8B |
| 36 | Ministral-3-3B-Reasoning-2512litert-community | Text Generation | 0 | — | 3 | — |
| 37 | qwen3coder-calendar-agent-v49-lr2-step12penfever | Text Generation | 0 | — | 0 | 30.5B |
| 38 | Qwen3.5-2B-heretic-GGUFFadedRedStar | Image Text to Text | 0 | ▲8.5%(up) | 4 | — |
| 39 | WeSpeaker-ResNet34-LM-CoreMLaufklarer | Audio Classification | 0 | ▲0.5%(up) | 0 | — |
| 40 | FLUX.2-klein-base-4Bunsloth | Image To Image | 0 | ▲16.0%(up) | 5 | 3.9B |
| 41 | Llama-3-8B-Instruct-Finance-RAG-GGUFQuantFactory | Text Generation | 0 | ▲0.9%(up) | 64 | — |
| 42 | qwen4-exp-tiny-random-bf16malaiwah | Text Generation | 0 | — | 0 | 342.2K |
| 43 | MiniMax-M2.7-REAP-172B-bf16-i1-GGUFmradermacher | — | 0 | 0% | 3 | — |
| 44 | xlm-roberta-base-tweet-sentiment-encardiffnlp | Text Classification | 0 | — | 0 | — |
| 45 | ESMC-300M-sae-layer23-k64-codebook65536biohub | Embeddings | 0 | — | 0 | — |
| 46 | Mellum-4b-sft-pythonJetBrains | Text Generation | 0 | ▲0.3%(up) | 56 | 4B |
| 47 | tournament-tourn_5abc2fe9f0667979_20260914-d7ab189e-947e-401d-9f66-92aea124efdf-5GU4Xkd3gradients-io-tournaments | Text Generation | 0 | — | 0 | 8B |
| 48 | Qwen3-VL-2B-Thinking-FP8Qwen | Image Text to Text | 0 | ▲31.2%(up) | 33 | 2.4B |
| 49 | SPARC-Qwen3.5-0.8B-VTFTirl-kit | Image Text to Text | 0 | ▲31.0%(up) | 0 | 853M |
| 50 | shisa-v2-llama3.1-8b-i1-GGUFmradermacher | — | 0 | — | 1 | — |