| 1 | HyperCLOVA-X-SEED-Think-14B-minimal-sft-71875-71949-correct-540youngseok12 | Text Generation | 0 | — | 0 | 14.7B |
| 2 | Llama-3.1-Centaur-70B-adaptermarcelbinz | — | 0 | — | 180 | — |
| 3 | albedo-qwen3.6-35b-47e03bd0f8dives000 | — | 0 | — | 0 | 34.7B |
| 4 | Llama-3.2-1B-Instruct-GGUFMaziyarPanahi | Text Generation | 0 | ▲0.3%(up) | 18 | — |
| 5 | wav2vec2-base-da-ft-nstAlvenir | Speech Recognition | 0 | ▲0.3%(up) | 3 | — |
| 6 | Qwen2.5-72B-Instruct-GPTQ-Int8Qwen | Text Generation | 0 | ▲0.1%(up) | 29 | 73B |
| 7 | swin-tiny-patch4-window7-224microsoft | Image Classification | 0 | ▲0.2%(up) | 53 | 28.3M |
| 8 | xlm-clm-ende-1024FacebookAI | Fill Mask | 0 | ▲0.0%(up) | 0 | 209M |
| 9 | OpenMed-NER-DNADetect-ElectraMed-109MOpenMed | Token Classification | 0 | ▲2.2%(up) | 0 | 109M |
| 10 | BigBang-v1-heretic-GGUFmradermacher | — | 0 | ▲18.7%(up) | 0 | — |
| 11 | Qwopus3.6-35B-A3B-v1-APEX-GGUFmudler | — | 0 | ▲2.2%(up) | 23 | — |
| 12 | RMBG-2.01038lab | — | 0 | ▲2.1%(up) | 22 | 221M |
| 13 | Gemma4-12B-Uncensored-HauhauCS-1M-GGUFsatgeze | Text Generation | 0 | ▲2.6%(up) | 7 | — |
| 14 | opus-mt-en-huHelsinki-NLP | Translation | 0 | ▲0.1%(up) | 4 | — |
| 15 | ERNIE-4.5-21B-A3B-Thinkingbaidu | Text Generation | 0 | ▲7.0%(up) | 792 | 21.8B |
| 16 | Qwen3.5-4B-NVFP4AxionML | Image Text to Text | 0 | ▲2.1%(up) | 5 | 3.1B |
| 17 | OpenMed-NER-DiseaseDetect-ElectraMed-33MOpenMed | Token Classification | 0 | ▲2.4%(up) | 0 | 33.2M |
| 18 | demodokos-foundry-music-v4cmp-nct | Text to Audio | 0 | ▲3.2%(up) | 4 | — |
| 19 | Scram-0.8B-6bitnegativevoid | Text Generation | 0 | — | 0 | 752M |
| 20 | OpenMed-ZeroShot-NER-Protein-Small-166M-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 21 | bertweet-pt-sentimentpysentimiento | — | 0 | ▲0.2%(up) | 18 | 135M |
| 22 | Qwen1.5-MoE-A2.7B-Finetuningducanhdinh | Question Answering | 0 | ▲12.2%(up) | 1 | — |
| 23 | bge-large-zhBAAI | Embeddings | 0 | ▲0.2%(up) | 346 | 326M |
| 24 | Urdu-Punjabi-V2-GGUFmradermacher | — | 0 | — | 0 | — |
| 25 | mixtral-7b-8expertDiscoResearch | Text Generation | 0 | ▲0.0%(up) | 264 | — |
| 26 | Minime_base-GGUFmradermacher | — | 0 | — | 0 | — |
| 27 | Rocinante-XL-16B-v1-desiccated-i1-GGUFmradermacher | — | 0 | — | 1 | — |
| 28 | Qwen2.5-VL-7B-Instruct-AWQQwen | Image Text to Text | 0 | ▲3.0%(up) | 108 | 8.3B |
| 29 | Wan_2.2_ComfyUI_RepackagedWynandVervaart | — | 0 | — | 1 | — |
| 30 | Ministral-3-14B-Reasoning-2512-GGUFMungert | — | 0 | — | 0 | — |
| 31 | Muse-Glimmer-30B-hereticdarkc0de | Image Text to Text | 0 | ▲11.8%(up) | 16 | 29.8B |
| 32 | absolute-reality-1.81Lykon | Text to Image | 0 | ▲0.1%(up) | 8 | 860M |
| 33 | OpenMed-ZeroShot-NER-Genome-XLarge-770MOpenMed | Token Classification | 0 | ▲2.6%(up) | 0 | — |
| 34 | MiniMax-Music3-8bitmlx-community | Text to Audio | 0 | — | 6 | 11.7B |
| 35 | ner-multiflair | Token Classification | 0 | ▲0.1%(up) | 11 | — |
| 36 | PromptEnhancer-Img2img-Edit-GGUFmradermacher | Text to Image | 0 | ▲2.0%(up) | 0 | — |
| 37 | Muse-Glimmer-30B-Heretic-Abliterated-Q8_0-GGUFmlasli | Text Generation | 0 | ▲0.6%(up) | 1 | — |
| 38 | Qwen2.5-Coder-1.5B-Shellsmithajayk007 | Text Generation | 0 | — | 3 | 1.5B |
| 39 | OpenMed-PII-Telugu-SuperClinical-Small-44M-v1-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 40 | Allegrorhymes-ai | Text to Video | 0 | ▲0.2%(up) | 263 | 2.8B |
| 41 | Flex-public-7B-1T-i1-GGUFmradermacher | — | 0 | ▲1.3%(up) | 0 | — |
| 42 | Qwen3-Coder-30B-A3B-Instruct-AWQQuantTrio | Text Generation | 0 | ▲6.2%(up) | 11 | 30.5B |
| 43 | marigold-normals-v1-1prs-eth | Image To Image | 0 | ▲0.5%(up) | 11 | 866M |
| 44 | Ling-3.0-flash-VL-MTP-ROCmFP4-GGUFkingjones777 | Image Text to Text | 0 | — | 2 | — |
| 45 | Sentence-Level-Stereotype-Detectorwu981526092 | Text Classification | 0 | ▲2.8%(up) | 6 | — |
| 46 | OpenMed-NER-SpeciesDetect-SuperClinical-434MOpenMed | Token Classification | 0 | ▲2.3%(up) | 0 | 434M |
| 47 | d16_235m_seed5jkminder | Text Generation | 0 | — | 0 | 537M |
| 48 | Nous-Hermes-2-Mixtral-8x7B-SFT-GGUFsecond-state | Text Generation | 0 | ▲2.6%(up) | 4 | — |
| 49 | moirai-moe-1.0-R-baseSalesforce | Time Series Forecasting | 0 | ▲0.0%(up) | 19 | 935M |
| 50 | linguapal-e2btheroar | — | 0 | 0% | 0 | — |