| 1 | Rio-3.5-Open-397Bprefeitura-rio | Image Text to Text | 0 | ▲0.0%(up) | 329 | 403B |
| 2 | MyAwesomeModel-TestRepotool02 | Embeddings | 0 | — | 0 | — |
| 3 | ESMC-6B-sae-layer60-k64-codebook65536biohub | Embeddings | 0 | — | 0 | — |
| 4 | Qwen3.5-27B-Gemini3-Pro-High-Reasoning-Compact-Thinking-i1-GGUFmradermacher | — | 0 | ▲3.4%(up) | 5 | — |
| 5 | Lamarck-14B-v0.7-Fusionsometimesanotion | Text Generation | 0 | ▲1.0%(up) | 10 | 14.8B |
| 6 | EleMo-V3Earlychildhoodeducation | Text Generation | 0 | — | 1 | — |
| 7 | Qwen3.6-35B-A3B-MTP-4bitmlx-community | Text Generation | 0 | ▲6.0%(up) | 5 | 845M |
| 8 | Analog-Diffusionwavymulder | Text to Image | 0 | ▲0.0%(up) | 879 | — |
| 9 | DeepSeek-R1-Distill-Llama-8B-3MPER0RR-abliterated-GGUFmradermacher | — | 0 | — | 0 | — |
| 10 | tt-x10-fsdp2-fa2-117-30Blaion | Text Generation | 0 | — | 0 | 30.5B |
| 11 | 4.2.0-Broken-Tutu-24b-i1-GGUFmradermacher | — | 0 | ▲0.3%(up) | 2 | — |
| 12 | sentence-bert-swedish-casedKBLab | Sentence Similarity | 0 | ▲2.2%(up) | 36 | 125M |
| 13 | Nohobby_L3.3-Prikol-70B-v0.5-GGUFbartowski | Text Generation | 0 | ▲2.1%(up) | 1 | — |
| 14 | Llama-3.1-Tulu-3-8B-SFT-no-safety-dataallenai | Text Generation | 0 | ▲1.5%(up) | 1 | 8B |
| 15 | controlnet-canny-sdxl-1.0diffusers | Text to Image | 0 | ▲0.7%(up) | 536 | 1.3B |
| 16 | HongLouMeng-6b-GGUFmradermacher | — | 0 | — | 0 | — |
| 17 | Dirty-Muse-Writer-v01-Uncensored-NSFW-GGUFSerchyk | — | 0 | ▲7.9%(up) | 0 | — |
| 18 | tiny-random-qwen-imagesnake7gun | Text to Image | 0 | ▲1.2%(up) | 1 | 92.6K |
| 19 | L3-Jamet-12.2B-MK.V-Blackroot-Instruct-i1-GGUFmradermacher | — | 0 | ▲3.9%(up) | 0 | — |
| 20 | reka-edge-2603RekaAI | Image Text to Text | 0 | ▲1.3%(up) | 133 | 7.1B |
| 21 | For-Her-Darkside-12B-v1.4-GGUFReadyArt | — | 0 | ▲2.3%(up) | 14 | — |
| 22 | Vega-SupraNeo-4M-Tetris-VerboseCNWPlayer | Text Generation | 0 | — | 0 | 4.1M |
| 23 | Laguna-S-2.1-AWQ-FP8cyankiwi | Text Generation | 0 | — | 1 | 118B |
| 24 | mythos-v2-8b-mergedKing3Djbl | Text Generation | 0 | ▲2.3%(up) | 4 | — |
| 25 | Realistic_Vision_V2.0SG161222 | Text to Image | 0 | ▲0.0%(up) | 335 | — |
| 26 | jina-embeddings-v5-omni-small-retrieval-NVFP4georgelpreput | — | 0 | ▲0.4%(up) | 0 | 1.2B |
| 27 | Maincoder-1BMaincode | Text Generation | 0 | ▲1.6%(up) | 96 | 1B |
| 28 | InternVL3_5-8B-GGUFlmstudio-community | Image Text to Text | 0 | ▲8.0%(up) | 1 | — |
| 29 | OpenMed-NER-DiseaseDetect-PubMed-335MOpenMed | Token Classification | 0 | ▲2.3%(up) | 0 | 334M |
| 30 | parakeet-tdt-1.1bmlx-community | Speech Recognition | 0 | ▲1.9%(up) | 0 | 1.1B |
| 31 | Imgscope-OCR-2B-0527prithivMLmods | Image Text to Text | 0 | 0% | 5 | 2.2B |
| 32 | Parakeet-TDT-v3-CoreML-INT8aufklarer | — | 0 | ▲5.7%(up) | 2 | — |
| 33 | Qwen3.5-27B-research-AWQsch0tten | Text Generation | 0 | 0% | 2 | 9.8B |
| 34 | Qwen3.8-27B-Heretic-Abliterated-MLX-6bitmlasli | Text Generation | 0 | ▲1.7%(up) | 1 | 26.9B |
| 35 | xlm-roberta-base-squad2-distilleddeepset | Question Answering | 0 | ▲0.2%(up) | 11 | 277M |
| 36 | pythia-14m-seed5EleutherAI | Text Generation | 0 | ▲2.0%(up) | 0 | — |
| 37 | SambaLingo-Arabic-Chatsambanovasystems | Text Generation | 0 | ▲0.0%(up) | 64 | 6.9B |
| 38 | stable-diffusion-v1-5-inpainting-GGUFgpustack | Text to Image | 0 | ▲17.0%(up) | 0 | — |
| 39 | Qwen3.8-Flash-Next-IQ3_S-GGUFboxrunner | Text Generation | 0 | — | 0 | — |
| 40 | Qwen3-VL-4B-Instruct-4bitmlx-community | Image Text to Text | 0 | ▲4.6%(up) | 9 | 4.4B |
| 41 | Liujgoj-Cantonese-Gemma4-12b-Base-GGUFmradermacher | Text Generation | 0 | — | 0 | — |
| 42 | Intern-S1-miniinternlm | Image Text to Text | 0 | ▲4.4%(up) | 114 | 8.5B |
| 43 | roberta_jan_512_nccNbAiLab | Fill Mask | 0 | ▲1.6%(up) | 0 | — |
| 44 | AliceAI-Foundation-80B-A3B-Base-GGUFYamada114514 | Text Generation | 0 | — | 9 | — |
| 45 | MiniArt-2.0Dev4285 | Text Generation | 0 | ▲8.8%(up) | 2 | — |
| 46 | GritLM-7B-vllmparasail-ai | Text Generation | 0 | ▲0.1%(up) | 2 | 7.2B |
| 47 | Riva-Translate-4B-Instruct-v2nvidia | Text Generation | 0 | ▲3.8%(up) | 20 | 4.2B |
| 48 | fuyu-8badept | Image Text to Text | 0 | ▲0.4%(up) | 1,020 | 9.4B |
| 49 | sdmodelsMWSAH | — | 0 | ▲1.2%(up) | 3 | 1.3B |
| 50 | policy-distilbert-7dMoritzLaurer | Text Classification | 0 | ▲0.0%(up) | 5 | — |