| 1 | BioTakuya-GGUFmradermacher | — | 0 | ▲12.0%(up) | 1 | — |
| 2 | PP-OCRv6_tiny_recPaddlePaddle | Image to Text | 0 | ▲6.3%(up) | 15 | — |
| 3 | GLM-4.5-Air-DerestrictedArliAI | Text Generation | 0 | ▲0.6%(up) | 103 | 110B |
| 4 | Qwen3.8-9B-Distill-mlx-5BitkeXjos | Text Generation | 0 | ▲18.9%(up) | 3 | 9B |
| 5 | Qwen3.8-27B-NVFP4-Q5K-no-MTP-GGUFQQZ2026 | Image Text to Text | 0 | ▲2.1%(up) | 6 | — |
| 6 | GLM-4.7-Flash-ultra-uncensored-heretic-i1-GGUFmradermacher | — | 0 | — | 1 | — |
| 7 | PairRMllm-blender | Text Generation | 0 | ▲0.1%(up) | 209 | 436M |
| 8 | dlp-intent-classifierspidercob | Text Classification | 0 | — | 0 | 22.7M |
| 9 | bert-fa-base-uncased-clf-persiannewsHooshvareLab | Text Classification | 0 | ▲0.0%(up) | 14 | — |
| 10 | Vespera-Synapse-31B-GGUFmradermacher | — | 0 | ▲3.2%(up) | 0 | — |
| 11 | MoE-Study-RemasteredOliverSundaram | Text Generation | 0 | — | 1 | 201M |
| 12 | Infinity-Parser2-Flash-GGUFprithivMLmods | Image Text to Text | 0 | ▲17.7%(up) | 2 | — |
| 13 | mt-classify-3g-d-v2dasLOL | — | 0 | — | 0 | — |
| 14 | Qwen3-VL-4B-Instruct-heretic-Semantic-Same-i1-GGUFmradermacher | — | 0 | — | 0 | — |
| 15 | AnomalyThink-Qwen3-VL-8B-KCR-i1-GGUFmradermacher | — | 0 | — | 0 | — |
| 16 | convnext_large.fb_in22ktimm | Image Classification | 0 | ▲0.5%(up) | 0 | 230M |
| 17 | naps-llama-3_1-instruct-v0.5.0-i1-GGUFmradermacher | — | 0 | ▲0.2%(up) | 0 | — |
| 18 | Qwen3-1.7B-ONNXhb-dev | Text Generation | 0 | — | 0 | — |
| 19 | OpenCoder-1.5B-Instructinfly | Text Generation | 0 | ▲1.1%(up) | 49 | 1.9B |
| 20 | olmoe-base-GGUFmradermacher | — | 0 | — | 0 | — |
| 21 | LTX_23SexFromBehindlynaNSFW | Text to Image | 0 | ▲1.3%(up) | 0 | — |
| 22 | clip-vit-large-patch14_svhntanganke | Embeddings | 0 | ▲1.0%(up) | 0 | 303M |
| 23 | Step-Audio-R1.1stepfun-ai | Audio Text To Text | 0 | ▲0.7%(up) | 190 | 33.5B |
| 24 | deberta-v3-xsmall-with-biblio-context-finetuned-review_classifierdomenicrosati | Text Classification | 0 | — | 0 | — |
| 25 | sentence-bert-base-italian-uncasednickprock | Sentence Similarity | 0 | ▲0.0%(up) | 10 | 110M |
| 26 | llm-math345-gt-phi35mini-endpointlogan7000 | Text Generation | 0 | — | 0 | 199.7K |
| 27 | controlnet-canny-sdxl-1.0-middiffusers | Text to Image | 0 | ▲1.8%(up) | 18 | 273M |
| 28 | tinyllama-2.5T-Clinical-v2muzammil-eds | Text Generation | 0 | ▲1.2%(up) | 1 | 1.1B |
| 29 | gerpt2-largebenjamin | Text Generation | 0 | ▲0.2%(up) | 9 | 876M |
| 30 | Colossal-LLaMA-2-13b-base-i1-GGUFmradermacher | — | 0 | ▲10.1%(up) | 0 | — |
| 31 | arora-finetunedasmin444 | Text Generation | 0 | — | 1 | 1.8B |
| 32 | Gemma4-E2B-Heretic-Sinhala-i1-GGUFmradermacher | — | 0 | ▲1.9%(up) | 1 | — |
| 33 | LIama-3.2-test-GGUFbhanuripranathi | — | 0 | ▲2.7%(up) | 4 | — |
| 34 | ai9stars_G9v3-3B-GGUFbartowski | Text Generation | 0 | ▲4.5%(up) | 12 | — |
| 35 | IQuest-Coder-V1-40B-Instruct-i1-GGUFmradermacher | — | 0 | ▲1.0%(up) | 1 | — |
| 36 | thagiPo-llama3.2-1B-mathJoaoGuiAlves | Text Generation | 0 | — | 0 | 1.5B |
| 37 | Florence-2-large-ftmicrosoft | Image Text to Text | 0 | ▲0.6%(up) | 393 | 770M |
| 38 | huihui-ai_-_Qwen2.5-32B-Instruct-abliterated-ggufRichardErkhov | — | 0 | ▲1.4%(up) | 1 | — |
| 39 | ppt-pythia-160m-uniform250-current_mse-seed208-stage2qing-yao | Text Generation | 0 | — | 0 | 162M |
| 40 | Qwen3-Embedding-0.6B-GGUFCablepunkPress | — | 0 | — | 1 | — |
| 41 | Anything-PreservationAdamOswald1 | Text to Image | 0 | ▲0.2%(up) | 105 | 860M |
| 42 | gemma-2-mitra-e-fp8buddhist-nlp | Embeddings | 0 | ▲0.0%(up) | 1 | 9.2B |
| 43 | Muse-Glimmer-30B-Uncensored-xCloud-GGUFxCloudinfo | Image Text to Text | 0 | ▲11.6%(up) | 0 | — |
| 44 | tiny_vit_21m_224.dist_in22k_ft_in1ktimm | Image Classification | 0 | ▲0.7%(up) | 0 | 21.2M |
| 45 | gliner_multi-v2.1urchade | Token Classification | 0 | ▲3.9%(up) | 171 | 289M |
| 46 | YOLO26l-OptiQ-6bitmlx-community | Object Detection | 0 | — | 0 | — |
| 47 | Qwen3-VL-8B-Instruct-MLX-4bitlmstudio-community | Image Text to Text | 0 | ▲1.6%(up) | 4 | — |
| 48 | OpenMed-NER-AnatomyDetect-PubMed-335MOpenMed | Token Classification | 0 | ▲2.2%(up) | 2 | 334M |
| 49 | OpenMed-NER-SpeciesDetect-ElectraMed-560MOpenMed | Token Classification | 0 | ▲2.2%(up) | 0 | 559M |
| 50 | hate_speech_enIMSyPP | Text Classification | 0 | ▲0.1%(up) | 18 | — |