| 1 | autismmixSDXL_autismmixConfettiLyliaEngine | Text to Image | 0 | ▲0.9%(up) | 6 | — |
| 2 | Realism-By-Stable-Yogi-Pony-LoRaincendies | Text to Image | 0 | ▲1.1%(up) | 1 | — |
| 3 | Kokoro-82M-bf16mlx-community | Text to Speech | 0 | ▲0.4%(up) | 66 | — |
| 4 | Vikhr-Nemo-12B-Instruct-R-21-09-24-Q4_K_M-GGUFVlSav | — | 0 | ▲1.1%(up) | 9 | — |
| 5 | Llama-3.1-8B-ascii-catsNeedless64 | — | 0 | ▲5.9%(up) | 0 | — |
| 6 | rana-shahroz_-_mistral-7b-openorca20k-ggufRichardErkhov | — | 0 | ▲10.0%(up) | 0 | — |
| 7 | Kilkenny-Poltergeist2023EarthnDusk | — | 0 | ▲0.9%(up) | 0 | — |
| 8 | tiny-random-JinaEmbeddingsV3ForQuestionAnsweringhf-tiny-v2 | — | 0 | ▲28.6%(up) | 0 | 4M |
| 9 | stable-diffusion-3-medium-ggufcity96 | Text to Image | 0 | ▲1.1%(up) | 7 | — |
| 10 | nb-sbert-baseNbAiLab | Sentence Similarity | 0 | ▲4.0%(up) | 24 | 178M |
| 11 | OpenMed-NER-DiseaseDetect-SuperClinical-434M-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 12 | AltCLIP-m9BAAI | Text to Image | 0 | ▲2.2%(up) | 8 | — |
| 13 | neuralmagic_-_Llama-2-7b-ultrachat200k-ggufRichardErkhov | — | 0 | ▲8.6%(up) | 0 | — |
| 14 | GLM-5.3-Flash-NVFP4RadixArk | Image Text to Text | 0 | ▲182.7%(up) | 7 | 168B |
| 15 | Llama-3-70B-Synthia-v3.5-i1-GGUFmradermacher | — | 0 | ▲9.7%(up) | 0 | — |
| 16 | Phi-4-mini-instruct-Q4_K_M-GGUFmatrixportalx | Text Generation | 0 | ▲3.4%(up) | 1 | — |
| 17 | biosyn-sapbert-bc2gndmis-lab | Embeddings | 0 | 0% | 1 | — |
| 18 | UCLA-AGI_-_Mistral7B-PairRM-SPPO-Iter3-ggufRichardErkhov | — | 0 | ▲12.1%(up) | 0 | — |
| 19 | Ministral-3-8B-Reasoning-2512-GGUFlmstudio-community | — | 0 | ▲3.0%(up) | 1 | — |
| 20 | FLux_Klein_9B_NSFWIcedSundae | Text to Image | 0 | ▲4.3%(up) | 1 | — |
| 21 | MiniLM-L3-H384-uncasednreimers | Embeddings | 0 | ▲3.1%(up) | 3 | — |
| 22 | aava-tts-persian-3bKEYHAN-A | Text to Speech | 0 | ▲21.0%(up) | 4 | 3.8B |
| 23 | dflash-qwen3-8b-speculatorsnm-testing | — | 0 | ▲2.6%(up) | 0 | 1.8B |
| 24 | VieNeu-TTS-v2-Turbo-GGUFpnnbao-ump | Text to Speech | 0 | ▲1.0%(up) | 4 | — |
| 25 | Qwen2.5-Coder-1.5B-Instruct-PollardPollardWeights | Text Generation | 0 | — | 1 | — |
| 26 | Qwen3.5-0.8B-Uncensored-GGUFmradermacher | — | 0 | — | 0 | — |
| 27 | Qwen3.5-9B-heretic-v2-GGUFfilvyb | Image Text to Text | 0 | ▲5.6%(up) | 7 | — |
| 28 | OpenELM-3B-Instruct-GGUFSanctumAI | — | 0 | ▲0.4%(up) | 1 | — |
| 29 | Llama-3.3-70B-Instruct-quantized.w8a8RedHatAI | Text Generation | 0 | ▲0.1%(up) | 14 | 70.6B |
| 30 | DocumentFigureClassifierdocling-project | — | 0 | ▲0.4%(up) | 19 | 4.1M |
| 31 | Protogen_x5.3_Official_Releasedarkstorm2150 | Text to Image | 0 | ▲0.2%(up) | 104 | — |
| 32 | d3LLM_Dreamd3LLM | Text Generation | 0 | ▲0.5%(up) | 3 | 7.6B |
| 33 | CLIP-ViT-L-scopelewington | — | 0 | ▲0.9%(up) | 6 | — |
| 34 | spark-13m-instructifx-pse-sys-ml | Text Generation | 0 | — | 0 | 13.2M |
| 35 | LLM2CLIP-Llama-3-8B-Instruct-CC-Finetunedmicrosoft | Zero-Shot Classification | 0 | ▲1.6%(up) | 43 | 7.5B |
| 36 | MARTHA-LXVII.8b-i1-GGUFmradermacher | — | 0 | ▲8.6%(up) | 1 | — |
| 37 | Retro-Pixel-Flux-LoRAprithivMLmods | Text to Image | 0 | ▲0.3%(up) | 92 | — |
| 38 | Barcenas-Qwen3.8-27B-Fable-i1-GGUFmradermacher | — | 0 | ▲45.1%(up) | 1 | — |
| 39 | bert-emotionboltuix | Text Classification | 0 | ▲0.3%(up) | 68 | 11.2M |
| 40 | sd-xl-alternative-basesbenjamin-paine | Text to Image | 0 | ▲0.2%(up) | 32 | — |
| 41 | gemma-4-31b-uncensored-heretic-testing-copyktakemoto | — | 0 | — | 0 | — |
| 42 | Berry-Spark-7B-Fix-i1-GGUFmradermacher | — | 0 | ▲12.5%(up) | 1 | — |
| 43 | OpenMed-PII-Telugu-mClinicalE5-Large-560M-v1-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 44 | coedit-large-onnxrayliuca | — | 0 | 0% | 1 | — |
| 45 | Kartoffel_Orpheus-3B_german_natural-v0.1SebastianBodza | Text to Speech | 0 | ▲92.3%(up) | 17 | 3.3B |
| 46 | Zhinao-ChineseModernBert-Embeddingqihoo360 | Sentence Similarity | 0 | ▲3.4%(up) | 2 | 227M |
| 47 | py313-pylingual-v1.3-segmentersyssec-utd | Token Classification | 0 | ▲3.7%(up) | 0 | 108M |
| 48 | wizard-mega-13B-GGMLTheBloke | Text Generation | 0 | — | 58 | — |
| 49 | OpenMed-PII-Portuguese-SnowflakeMed-Large-568M-v1OpenMed | Token Classification | 0 | ▲14.7%(up) | 11 | 567M |
| 50 | Baichuan-M3-235Bbaichuan-inc | Text Generation | 0 | ▲1.3%(up) | 103 | 235B |