| 1 | pyannote-speaker-diarization-3.1ivrit-ai | Speech Recognition | 208.9K | — | 5 | — |
| 2 | SmolLM2-1.7B-InstructHuggingFaceTB | Text Generation | 208.8K | — | 752 | 1.7B |
| 3 | MiniMax-H3-GGUFmolbal | Image To Video | 208.7K | — | 53 | — |
| 4 | pyannote-segmentation-3.0ivrit-ai | — | 208.6K | — | 2 | — |
| 5 | hallucination_evaluation_modelvectara | Text Classification | 208.5K | — | 364 | 110M |
| 6 | vram-24unslothai | Embeddings | 208.1K | — | 0 | — |
| 7 | MiniMax-H3-encoder-GGUFjoeygambino | Image To Video | 206.7K | — | 8 | — |
| 8 | MOSS-TTS-Local-Transformer-v1.5OpenMOSS-Team | Text to Speech | 206.6K | — | 69 | 4.6B |
| 9 | fullstop-punctuation-multilang-largeoliverguhr | Token Classification | 206.6K | — | 179 | 559M |
| 10 | Qwen2.5-Coder-3B-InstructQwen | Text Generation | 206.3K | — | 123 | 3.1B |
| 11 | Qwen3-Reranker-0.6B-seq-clstomaarsen | Text Ranking | 206.3K | — | 39 | 596M |
| 12 | unbiased-toxic-roberta-onnxprotectai | Token Classification | 206K | — | 7 | — |
| 13 | Nori-30MSynthefy | Tabular Classification | 205.8K | — | 5 | — |
| 14 | whisper-tiny.enopenai | Speech Recognition | 205.6K | — | 119 | 37.8M |
| 15 | tiny-DeepseekV3ForCausalLMtrl-internal-testing | Text Generation | 205.2K | — | 3 | 3.8M |
| 16 | pegasus_paraphrasetuner007 | — | 204.1K | — | 204 | — |
| 17 | Qwen-Image-Edit-2509-GGUFQuantStack | Image To Image | 203.8K | — | 352 | — |
| 18 | SapBERT-UMLS-2020AB-all-lang-from-XLMRcambridgeltl | Embeddings | 203.6K | — | 12 | 278M |
| 19 | deberta-large-mnlimicrosoft | Text Classification | 203.2K | — | 33 | — |
| 20 | yolov8m-table-extractionkeremberke | Object Detection | 203.2K | — | 44 | — |
| 21 | MiniMax-M3MiniMaxAI | Image Text to Text | 202.9K | — | 1,495 | 427B |
| 22 | SmolVLM2-2.2B-InstructHuggingFaceTB | Image Text to Text | 202.8K | — | 331 | 2.2B |
| 23 | Qwen3.5-35B-A3B-GGUFunsloth | Image Text to Text | 202.3K | — | 861 | — |
| 24 | t5-tiny-randompatrickvonplaten | — | 201.9K | — | 3 | — |
| 25 | gemma-4-26B-A4Bgoogle | Image Text to Text | 201.6K | — | 380 | 26.5B |
| 26 | pyannote-wespeaker-voxceleb-resnet34-LMRevai | — | 201.2K | — | 3 | — |
| 27 | Whisper-Hindi2Hinglish-PrimeOriserve | Speech Recognition | 201.1K | — | 16 | 1.5B |
| 28 | vllm-translategemma-12b-itchbae624 | Text Generation | 201.1K | — | 4 | 13.2B |
| 29 | llama2-embedding-1b-8kmesolitica | Embeddings | 201K | — | 3 | 947M |
| 30 | SmolLM-135MHuggingFaceTB | Text Generation | 200.9K | — | 266 | 135M |
| 31 | tiny-Qwen3ForCausalLM-Instruct-2507trl-internal-testing | Text Generation | 200.8K | — | 0 | 2.5M |
| 32 | Wan2.2-TI2V-5B-DiffusersWan-AI | Text to Video | 200.7K | — | 159 | 5B |
| 33 | Distill-Any-Depth-Large-hfxingyang1 | Depth Estimation | 200.4K | — | 6 | 335M |
| 34 | chronos-bolt-miniamazon | Time Series Forecasting | 200.1K | — | 14 | 21.2M |
| 35 | dino-vits16facebook | Image Feature Extraction | 199.4K | — | 16 | — |
| 36 | vibevoice.cpp-modelsmudler | — | 199.3K | — | 12 | — |
| 37 | OpenMed-NER-ChemicalDetect-ModernMed-395MOpenMed | Token Classification | 198.9K | — | 0 | 396M |
| 38 | Qwen3-4B-Instruct-2507-GGUFMaziyarPanahi | Text Generation | 198.7K | — | 3 | — |
| 39 | OpenMed-NER-PathologyDetect-TinyMed-135MOpenMed | Token Classification | 198.7K | — | 0 | 135M |
| 40 | vit_base_patch16_dinov3.lvd1689mtimm | Image Feature Extraction | 198.7K | — | 8 | 85.6M |
| 41 | xlnet-base-casedxlnet | Text Generation | 198.6K | — | 82 | — |
| 42 | sentence-bert-base-ja-mean-tokens-v2sonoisa | Embeddings | 198.4K | — | 51 | 111M |
| 43 | bert-base-turkish-uncaseddbmdz | — | 198.2K | — | 42 | — |
| 44 | OpenMed-NER-DNADetect-SuperMedical-125MOpenMed | Token Classification | 198.2K | — | 1 | 124M |
| 45 | Wan2.1-T2V-1.3B-DiffusersWan-AI | Text to Video | 198K | — | 149 | 1.4B |
| 46 | Qwen3.8_4B_Distilled_GGUFMa7ee7 | Text Generation | 198K | — | 33 | — |
| 47 | OpenMed-NER-OncologyDetect-BigMed-278MOpenMed | Token Classification | 197.7K | — | 0 | 277M |
| 48 | OpenMed-NER-OrganismDetect-BioPatient-108MOpenMed | Token Classification | 197.5K | — | 0 | 108M |
| 49 | OpenMed-NER-SpeciesDetect-ElectraMed-109MOpenMed | Token Classification | 197.3K | — | 0 | 109M |
| 50 | dummy-GPT2-correct-vocabtrl-internal-testing | Text Generation | 197.1K | — | 0 | 1.7M |