| 1 | ibm-granite_granite-3.3-2b-instruct-GGUFbartowski | Text Generation | 0 | ▲3.0%(up) | 5 | — |
| 2 | Gemma-4-Dark-Gemistry-31B-GGUFmradermacher | — | 0 | ▲10.8%(up) | 2 | — |
| 3 | clip-vit-base-patch16_sun397tanganke | — | 0 | ▲1.5%(up) | 0 | 85.8M |
| 4 | UniVideoKlingTeam | Any to Any | 0 | — | 105 | — |
| 5 | LFM2.5-2.6B-SFT-Fable5-GGUFmradermacher | — | 0 | ▲1.1%(up) | 1 | — |
| 6 | Juggernaut-RebornHyperX-Sentience | Text to Image | 0 | ▲1.6%(up) | 10 | — |
| 7 | distilbert-base-uncased-distilled-squadXenova | Question Answering | 0 | ▲0.8%(up) | 0 | — |
| 8 | news-title-generatorAteeqq | — | 0 | ▲3.7%(up) | 10 | 223M |
| 9 | Trouper-12B-i1-GGUFmradermacher | — | 0 | ▲4.7%(up) | 1 | — |
| 10 | OpenMed-NER-GenomicDetect-ElectraMed-33MOpenMed | Token Classification | 0 | ▲2.4%(up) | 0 | 33.2M |
| 11 | test-ttm-v1ibm-research | Time Series Forecasting | 0 | ▲0.2%(up) | 0 | 805.3K |
| 12 | ggml_llava-v1.5-13bmys | — | 0 | ▲0.1%(up) | 55 | — |
| 13 | OpenMed-NER-BloodCancerDetect-BioClinical-108MOpenMed | Token Classification | 0 | ▲2.6%(up) | 0 | 108M |
| 14 | Llama-3_3-Nemotron-Super-49B-v1_5-fit24gib-GGUFAlberto-Codes | Text Generation | 0 | — | 0 | — |
| 15 | Dirk-Qwen3.8-27B-MLX-oQ4epeculiar-ragdoll | Image Text to Text | 0 | ▲20.9%(up) | 16 | 27.8B |
| 16 | deepseek-moe-16b-chat-Q4_K_M-GGUFaclava | — | 0 | ▲1.3%(up) | 1 | — |
| 17 | cinnamon_mixnuigurumi | — | 0 | — | 103 | — |
| 18 | emotional-classificationKBLab | Text Classification | 0 | ▲0.7%(up) | 1 | — |
| 19 | gemma-4-E2B-it-OnlyTextOnlyTextLLMs | Text Generation | 0 | — | 0 | 4.6B |
| 20 | ClayStyleYntec | Text to Image | 0 | ▲0.3%(up) | 0 | 860M |
| 21 | F5-TTS-italianalien79 | Text to Speech | 0 | ▲0.6%(up) | 17 | — |
| 22 | ClaritynDimensional | Text to Image | 0 | ▲0.5%(up) | 35 | — |
| 23 | X-AuT-GGUFmradermacher | Speech Recognition | 0 | — | 0 | — |
| 24 | docling-nlp-modelsdocling-project | — | 0 | — | 1 | — |
| 25 | lilstorynavthings | Text Generation | 0 | — | 1 | 8.3M |
| 26 | hate_speech_enIMSyPP | Text Classification | 0 | ▲0.1%(up) | 18 | — |
| 27 | ichigoberry_-_MonarchPipe-7B-slerp-ggufRichardErkhov | — | 0 | ▲11.0%(up) | 0 | — |
| 28 | QwQ-32B-abliteratedhuihui-ai | Text Generation | 0 | ▲0.3%(up) | 111 | 32.8B |
| 29 | flux-krea-extracted-loravafipas663 | Image To Image | 0 | ▲6.5%(up) | 60 | — |
| 30 | wd-convnext-tagger-v3SmilingWolf | — | 0 | ▲0.2%(up) | 27 | 98.7M |
| 31 | lordx64_Qwable-v1-GGUFbartowski | Image Text to Text | 0 | ▲1.6%(up) | 8 | — |
| 32 | gme-Qwen2-VL-2B-InstructAlibaba-NLP | Sentence Similarity | 0 | ▲0.3%(up) | 135 | 2.2B |
| 33 | Qwen3.5-9B-Rollback-Fullmtybilly | Text Generation | 0 | — | 0 | 9B |
| 34 | LFM2.5-1.2B-CoreAImlboydaisuke | Text Generation | 0 | ▲14.9%(up) | 0 | — |
| 35 | ProjectKawaiYntec | Text to Image | 0 | ▲1.1%(up) | 2 | 860M |
| 36 | NTv3_100M_postInstaDeepAI | Fill Mask | 0 | ▲3.6%(up) | 4 | 120M |
| 37 | GLM-5.3-colibri-int4-g64Justvugg | Text Generation | 0 | — | 5 | — |
| 38 | RMBG-2.0yuvraj108c | Image Segmentation | 0 | 0% | 2 | 221M |
| 39 | caduceus-ps_seqlen-131k_d_model-256_n_layer-16kuleshov-group | Fill Mask | 0 | ▲29.9%(up) | 14 | 7.7M |
| 40 | flashzoi-replicate-3johahi | — | 0 | — | 0 | 197M |
| 41 | pygmalion-13b-4bit-128gnotstoic | Text Generation | 0 | ▲0.1%(up) | 150 | — |
| 42 | Llama-3.1-Taiwan-8B-Instruct-i1-GGUFmradermacher | — | 0 | ▲5.3%(up) | 1 | — |
| 43 | NeuralSpanish-7b-v1-GGUFmradermacher | — | 0 | ▲12.3%(up) | 0 | — |
| 44 | Qwen3.6-35B-A3B-MTP-GGUFbyteshape | Image Text to Text | 0 | ▲5.3%(up) | 89 | — |
| 45 | wav2vec2-large-xlsr-53-lithuanianDeividasM | Speech Recognition | 0 | ▲4.3%(up) | 2 | — |
| 46 | Qwen2.5-Coder-1.5B-Instruct-GGUFbartowski | Text Generation | 0 | ▲10.5%(up) | 15 | — |
| 47 | Qwen-Image-Studio-RealismprithivMLmods | Text to Image | 0 | ▲2.1%(up) | 23 | — |
| 48 | TemporalNetCiaraRowles | — | 0 | ▲0.0%(up) | 354 | 361M |
| 49 | albedo-qwen3.6-35b-784fc4e254musc1es | — | 0 | — | 0 | 36B |
| 50 | picur-120M-instructpicur | Text Generation | 0 | — | 0 | 120M |