| 1 | mamba2-130m-hfAntonV | — | 0 | ▲3.0%(up) | 7 | 129M |
| 2 | AltDiffusion-m9BAAI | Text to Image | 0 | ▲0.1%(up) | 70 | — |
| 3 | tiny-random-GPTNeoXForCausalLMpeft-internal-testing | Text Generation | 0 | ▲6.0%(up) | 0 | 99.5K |
| 4 | Qwen3-Embedding-Medical-0.6B-GGUFmradermacher | Embeddings | 0 | ▲1.5%(up) | 2 | — |
| 5 | OpenMed-PII-Vietnamese-BigMed-Large-278M-v1-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 6 | ppt-wc-zipf-newlex-nld-before-100mb-packed-bfd_seed3407francesca9805 | Text Generation | 0 | — | 0 | 86.5M |
| 7 | ai-human-generated-image-detectionaaronkantrowitz | Image Classification | 0 | ▲2.6%(up) | 3 | 85.8M |
| 8 | Qwen3-8B-Baseunsloth | Text Generation | 0 | ▲1.1%(up) | 5 | 8.2B |
| 9 | BananaMind-2.1-Lite-AdamWBanaxi-Tech | Text Generation | 0 | ▲2.1%(up) | 1 | 28.4M |
| 10 | vit-chest-xraycodewithdark | Image Classification | 0 | ▲0.6%(up) | 6 | 85.8M |
| 11 | flux2-klein9b-lora-mlsharp-3d-repaircyrildiagne | — | 0 | — | 126 | — |
| 12 | stable-diffusion-v1-5-inpaintingbotp | Text to Image | 0 | ▲0.8%(up) | 10 | — |
| 13 | qwen-demo-testpradm18 | Text Generation | 0 | — | 0 | 494M |
| 14 | KiwiMate-Image-Mini-1.0KiwiMate | Image To Image | 0 | — | 0 | — |
| 15 | TinyMistral-248M-v2-Instruct-GGUFM4-ai | — | 0 | ▲2.0%(up) | 6 | — |
| 16 | G4-Starry-Ocean-12B-heretic-i1-GGUFmradermacher | — | 0 | ▲5.3%(up) | 2 | — |
| 17 | lagernvs_general_512facebook | — | 0 | ▲7.1%(up) | 31 | — |
| 18 | edgenext_x_small.in1ktimm | Image Classification | 0 | ▲0.9%(up) | 1 | 2.3M |
| 19 | sage-fredt5-largeai-forever | — | 0 | — | 19 | 820M |
| 20 | Llama-3-SOVL-aaditya-OpenBioLLM-8B-GGUFmradermacher | — | 0 | ▲1.3%(up) | 0 | — |
| 21 | yolov8m-protective-equipment-detectionkeremberke | Object Detection | 0 | ▲0.2%(up) | 18 | — |
| 22 | gpt-oss-120b-GGUF-mirrorLukaMarkov | Text Generation | 0 | — | 1 | — |
| 23 | wav2vec2-xlsr-300m-finnish-lmFinnish-NLP | Speech Recognition | 0 | ▲0.2%(up) | 0 | 315M |
| 24 | tf_efficientnet_b2.ns_jft_in1ktimm | Image Classification | 0 | ▲0.8%(up) | 0 | 9.2M |
| 25 | S-PubMedBert-MS-MARCO-SCIFACTpritamdeka | Sentence Similarity | 0 | ▲0.1%(up) | 5 | — |
| 26 | py314-pylingual-v4-statementsyssec-utd | — | 0 | ▲2.9%(up) | 0 | 223M |
| 27 | Sonexa-2-TTS-GGUFmradermacher | — | 0 | — | 0 | — |
| 28 | OpenMed-PII-French-mSuperClinical-Large-279M-v1-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 29 | Meta-Llama-3-7B-29Layers-GGUFmradermacher | — | 0 | ▲2.3%(up) | 0 | — |
| 30 | ISTA-DASLab-Qwen3.8-27B-GSQ-RCO-GGUF-Unsloth-MTPcruizba | — | 0 | ▲36.6%(up) | 18 | — |
| 31 | qwen2-7b-instructkerasformers | Text Generation | 0 | 0% | 0 | — |
| 32 | glaive-function-calling-v1glaiveai | Text Generation | 0 | ▲0.5%(up) | 75 | — |
| 33 | frontdildoprofpeng | Text to Image | 0 | ▲3.5%(up) | 3 | — |
| 34 | gemma-4-E4B-it-OBLITERATEDchuckb80 | Text Generation | 0 | — | 0 | 8B |
| 35 | internlm-xcomposer2-vl-7b-4bitinternlm | Text Generation | 0 | ▲0.0%(up) | 27 | — |
| 36 | vicuna-7b-v1.3-i1-GGUFmradermacher | — | 0 | ▲9.2%(up) | 0 | — |
| 37 | Llama-3.1-8B-old-bird-names-v2-inoculation-prompting-seed2localized-ft | Text Generation | 0 | — | 0 | 8B |
| 38 | moss-tts-local-v1.5-GGUFcstr | — | 0 | ▲6.4%(up) | 0 | — |
| 39 | Metis-9BIAAR-Shanghai | Image Text to Text | 0 | ▲1.9%(up) | 5 | 9.2B |
| 40 | mochi-ggufcalcuis | Text to Video | 0 | ▲0.8%(up) | 9 | — |
| 41 | codegen-350M-multiSalesforce | Text Generation | 0 | ▲0.1%(up) | 61 | — |
| 42 | kanana-1.5-8b-instruct-2505-Safe-DPOohkwon | Text Generation | 0 | — | 0 | 8B |
| 43 | allenai_olmOCR-7B-0225-preview-GGUFbartowski | Image Text to Text | 0 | ▲1.4%(up) | 7 | — |
| 44 | deberta-v3-large-mnli-fever-anli-ling-wanli-binaryMoritzLaurer | Zero-Shot Classification | 0 | ▲0.7%(up) | 0 | 435M |
| 45 | LFM2.5-8B-A1B-Uncensored-Gaston-GGUFgaston-parravicini | Text Generation | 0 | ▲16.2%(up) | 29 | — |
| 46 | Qwen3.6-35B-A3B-MTP-APEX-I-MiniPlus-V2.1-GGUFIsValorum | Image Text to Text | 0 | — | 1 | — |
| 47 | Qwen3.6-27B-Claude-Opus-Reasoning-Distilledrico03 | Text Generation | 0 | ▲28.3%(up) | 14 | 27.8B |
| 48 | OpenMed-PII-SuperClinical-Base-184M-v1OpenMed | Token Classification | 0 | ▲3.8%(up) | 1 | 184M |
| 49 | senchronoagepyaging | — | 0 | — | 0 | — |
| 50 | hanpyaging | — | 0 | — | 0 | — |