| 1 | bert-tiny-finetuned-enron-spam-detectionmrm8488 | Text Classification | 3,141 | +3,141 | 9 | 4.4M |
| 2 | vectionlabs_Salience-27B-R6-GGUFbartowski | Image Text to Text | 3,141 | +3,141 | 2 | — |
| 3 | pythia-2.8b-dedupedEleutherAI | Text Generation | 3,140 | +3,140 | 14 | 2.9B |
| 4 | wav2vec2-xls-r-300m-timit-phonemevitouphy | Speech Recognition | 3,139 | +3,139 | 33 | 315M |
| 5 | wav2vec2-deepfake-voice-detectorgarystafford | Audio Classification | 3,138 | +3,138 | 6 | 316M |
| 6 | phi3.5-gutenberg-4B-GGUFbartowski | Text Generation | 3,137 | +3,137 | 2 | — |
| 7 | OLMoE-1B-7B-0924-Instruct-GGUFbartowski | Text Generation | 3,136 | +3,136 | 11 | — |
| 8 | Qwen3-14B-abliterated-GGUFmradermacher | — | 3,135 | +3,135 | 6 | — |
| 9 | pplx-pii-masking-MLXperplexity-ai | Token Classification | 3,134 | +3,134 | 3 | — |
| 10 | Mamba-Codestral-7B-v0.1mistralai | — | 3,134 | +3,134 | 617 | 7.3B |
| 11 | IF-I-XL-v1.0DeepFloyd | Text to Image | 3,132 | +3,132 | 680 | 4.3B |
| 12 | vit_base_patch16_siglip_224.v2_weblitimm | Image Feature Extraction | 3,132 | +3,132 | 1 | 92.9M |
| 13 | triton-layer-normkernels-community | — | 3,132 | +3,132 | 0 | — |
| 14 | LFM2-VL-1.6B-GGUFLiquidAI | Image Text to Text | 3,131 | +3,131 | 62 | — |
| 15 | tabpfn_3_5Prior-Labs | Tabular Classification | 3,130 | +3,130 | 61 | — |
| 16 | tiny-random-SpeechT5ForTextToSpeech-openvinooptimum-internal-testing | — | 3,130 | +3,130 | 0 | — |
| 17 | h2ogpt-4096-llama2-7b-chath2oai | Text Generation | 3,130 | +3,130 | 15 | 6.7B |
| 18 | rubert-base-cased-sentenceDeepPavlov | Embeddings | 3,130 | +3,130 | 32 | — |
| 19 | Qwen3.8-9B-Distill-GGUFAtomic-Germ | Text Generation | 3,130 | +3,130 | 4 | — |
| 20 | beit_base_patch16_224.in22k_ft_in22k_in1ktimm | Image Classification | 3,129 | +3,129 | 1 | 87M |
| 21 | DanTagGen-delta-rev2KBlueLeaf | Text Generation | 3,128 | +3,128 | 42 | 393M |
| 22 | Llama-3-8B-Lexi-Uncensored-GGUFOrenguteng | — | 3,128 | +3,128 | 257 | — |
| 23 | whisper-small_timestampedonnx-community | Speech Recognition | 3,128 | +3,128 | 2 | — |
| 24 | BiRefNet_lite-ONNXonnx-community | Image Segmentation | 3,127 | +3,127 | 25 | — |
| 25 | persian-embeddingsheydariAI | Embeddings | 3,125 | +3,125 | 44 | 560M |
| 26 | qwen3.8-flash-next-nvfp4starkweatherdigital | — | 3,124 | +3,124 | 0 | 92.7B |
| 27 | Z-Image-Turbo-DeJPEG-Lorawcde | Text to Image | 3,123 | +3,123 | 52 | — |
| 28 | Style-Transferzooeyy | Text to Image | 3,122 | +3,122 | 24 | — |
| 29 | gemma-2-2bunsloth | Text Generation | 3,120 | +3,120 | 8 | 2.6B |
| 30 | cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp10-base-q4v3agurung | Text Generation | 3,119 | +3,119 | 0 | 4.4B |
| 31 | wav2vec2-large-ru-golos-with-lmbond005 | Speech Recognition | 3,117 | +3,117 | 19 | — |
| 32 | LocalMeshEngineQtn-Cls | Image To 3d | 3,116 | +3,116 | 8 | — |
| 33 | PP-OCRv3_mobile_detPaddlePaddle | Image to Text | 3,115 | +3,115 | 1 | — |
| 34 | Qwen3.8-27B-Uncensored-Genesis-V1-NVFP4-GGUFjan1k | Text Generation | 3,114 | +3,114 | 0 | — |
| 35 | gemma-4-26B-A4B-it-heretic-APEX-GGUFmudler | — | 3,114 | +3,114 | 56 | — |
| 36 | roberta-minusculelgrobol | Fill Mask | 3,112 | +3,112 | 1 | 121.3K |
| 37 | CLIP-ViT-B-32-DataComp.XL-s13B-b90Klaion | Zero-Shot Image Classification | 3,111 | +3,111 | 7 | — |
| 38 | SecRoBERTajackaduma | Fill Mask | 3,109 | +3,109 | 27 | 84.1M |
| 39 | PHS-BERTpublichealthsurveillance | Fill Mask | 3,109 | +3,109 | 7 | — |
| 40 | OpenMed-PII-SuperMedical-Base-125M-v1OpenMed | Token Classification | 3,109 | +3,109 | 0 | 124M |
| 41 | OpenMed-ZeroShot-NER-DNA-Base-220MOpenMed | Token Classification | 3,107 | +3,107 | 0 | — |
| 42 | blip-itm-base-cocoSalesforce | — | 3,107 | +3,107 | 29 | — |
| 43 | OpenMed-PII-Italian-FastClinical-Small-82M-v1OpenMed | Token Classification | 3,103 | +3,103 | 0 | 81.6M |
| 44 | Laguna-XS-2.1-GGUFbartowski | Text Generation | 3,103 | +3,103 | 20 | — |
| 45 | SOLAR-10.7B-v1.0upstage | Text Generation | 3,102 | +3,102 | 324 | 10.7B |
| 46 | faster-whisper-large-v3-turboPurfview | — | 3,102 | +3,102 | 7 | — |
| 47 | gemma-2-9b-itunsloth | Text Generation | 3,101 | +3,101 | 12 | 9.2B |
| 48 | Qwen3-VL-30B-A3B-ThinkingQwen | Image Text to Text | 3,099 | +3,099 | 203 | 31.1B |
| 49 | OpenMed-PII-Italian-ClinicalBGE-Large-568M-v1OpenMed | Token Classification | 3,099 | +3,099 | 0 | 567M |
| 50 | 01-ai_-_Yi-34B-ggufRichardErkhov | — | 3,099 | +3,099 | 0 | — |