| 1 | Muse-Glimmer-30BRedHatAI | Image Text to Text | 0 | ▲10.1%(up) | 0 | 29.8B |
| 2 | mythos-9b-merged-hereticrichardyoung | Text Generation | 0 | — | 0 | 8.2B |
| 3 | Qwen2.5-1.5B-Instruct-regulus-rb-usbmobilint | Text Generation | 0 | — | 0 | 233M |
| 4 | SecureBERT2.0-basecisco-ai | Fill Mask | 0 | ▲0.5%(up) | 32 | 150M |
| 5 | tiny-random-exaoneoptimum-intel-internal-testing | — | 0 | ▲1.4%(up) | 0 | 3.3M |
| 6 | Qwen3.5-9B-SOM-MPOA-i1-GGUFmradermacher | — | 0 | ▲1.5%(up) | 0 | — |
| 7 | pagestorm-research-preview-24b-first-chapter-only-ggufavar6 | — | 0 | 0% | 0 | — |
| 8 | vits-vctkkakao-enterprise | Text to Speech | 0 | 0% | 15 | 39.7M |
| 9 | Ornith1.5-9B-3MPER0RR-abliterated-i1-GGUFmradermacher | — | 0 | ▲5.5%(up) | 0 | — |
| 10 | opt-125mpeft-internal-testing | Text Generation | 0 | ▲4.5%(up) | 0 | 125M |
| 11 | Avenger2.01-xb-Passthrough-GGUFmradermacher | — | 0 | ▲13.1%(up) | 0 | — |
| 12 | Adamus-7B-slerp-GGUFmradermacher | — | 0 | ▲6.3%(up) | 0 | — |
| 13 | tiny-Qwen3ForCausalLM-Instruct-2507trl-internal-testing | Text Generation | 0 | ▲2.8%(up) | 0 | 1.2M |
| 14 | bert4ner-base-uncasedshibing624 | Token Classification | 0 | ▲0.1%(up) | 3 | 109M |
| 15 | disco-diffusion-stylesd-dreambooth-library | Text to Image | 0 | ▲0.0%(up) | 106 | — |
| 16 | gemma-4-31B-it-abliterated-GGUFwangzhang | Text Generation | 0 | ▲3.0%(up) | 10 | — |
| 17 | Gryphe_Pantheon-RP-1.8-24b-Small-3.1-GGUFbartowski | Text Generation | 0 | ▲1.4%(up) | 22 | — |
| 18 | MSA-4BEverMind-AI | Question Answering | 0 | ▲0.2%(up) | 28 | 4.3B |
| 19 | deepx-embedding-v1dxtech-asia | Sentence Similarity | 0 | ▲3.1%(up) | 27 | — |
| 20 | Solar-Griffin-26B-A4B-GGUFmradermacher | — | 0 | — | 0 | — |
| 21 | bpemb-basedeepparse | — | 0 | ▲2.8%(up) | 0 | 11.3M |
| 22 | Raehoshi-illust-XL-11Raelina | Text to Image | 0 | ▲4.6%(up) | 4 | 2.6B |
| 23 | Ayam-2x8B-i1-GGUFmradermacher | — | 0 | ▲5.9%(up) | 0 | — |
| 24 | MiniCPM-Reranker-Lightopenbmb | Text Ranking | 0 | ▲1.2%(up) | 4 | 1.4B |
| 25 | Qwen2.5-14B_Uncensored_Instruct-i1-GGUFmradermacher | — | 0 | ▲4.6%(up) | 1 | — |
| 26 | bge-small-zh-v1.5Xenova | Embeddings | 0 | ▲5.3%(up) | 5 | — |
| 27 | Qwen2.5-3B-Instruct-bnb-4bitunsloth | Text Generation | 0 | ▲1.3%(up) | 13 | 3.2B |
| 28 | eomt-dinov3-coco-panoptic-large-640tue-mps | Image Segmentation | 0 | ▲5.3%(up) | 0 | 315M |
| 29 | DeepSeek-V4-Flash-Vision-Strix-Halo-GGUFotheru | Image Text to Text | 0 | ▲6.7%(up) | 4 | — |
| 30 | BFS-Best-Face-Swapbotp | Image To Image | 0 | ▲12.7%(up) | 2 | — |
| 31 | doctor-diffusion-s-controllable-vector-art-xl-loraDoctorDiffusion | Text to Image | 0 | ▲0.2%(up) | 17 | — |
| 32 | finetuning-sentiment-model-for-c2erteomotun | Text Classification | 0 | ▲0.7%(up) | 0 | — |
| 33 | tiny-random-qwen2vlkatuni4ka | — | 0 | ▲0.0%(up) | 0 | 4.9M |
| 34 | Z-Image-Turbo-Misc-Finetunes-DF11mingyi456 | Text to Image | 0 | ▲5.5%(up) | 4 | — |
| 35 | Symbol-LLM-13B-Instruct-GGUFmradermacher | — | 0 | — | 0 | — |
| 36 | YuNet-Face-LiteRTlitert-community | Object Detection | 0 | — | 0 | — |
| 37 | Qwen2.5-3B-Instruct-Sheldon-Combined-v1tbooy | Text Generation | 0 | — | 0 | 3.1B |
| 38 | SpydazWebAI_QuietStar_ProjectLeroyDyer | Text Generation | 0 | ▲0.6%(up) | 2 | 7.2B |
| 39 | bueble-lm-2bflair | Text Generation | 0 | ▲1.5%(up) | 24 | 2.1B |
| 40 | Qwen3.8-9B-Distill-MLX-5bitRolanDorisTech | — | 0 | — | 0 | 9B |
| 41 | MambaVision-L3-512-21Knvidia | Image Classification | 0 | ▲0.3%(up) | 56 | 740M |
| 42 | Supra-1.5-50M-Instruct-exp-ONNXonnx-community | Text Generation | 0 | — | 4 | — |
| 43 | Cohere-embed-english-v3.0CohereLabs | — | 0 | ▲4.0%(up) | 47 | — |
| 44 | DiStil-Qwen3-1.7B-uncensoredreaperdoesntknow | — | 0 | ▲3.6%(up) | 1 | 2B |
| 45 | Wan22-FastMixZuntan | — | 0 | ▲0.4%(up) | 10 | — |
| 46 | qwen-image-edit-plus-nsfw-loraKigirK2026 | Image To Image | 0 | — | 0 | — |
| 47 | bert-large-portuguese-cased-legal-tsdae-gpl-nli-sts-v1stjiris | Sentence Similarity | 0 | ▲1.0%(up) | 1 | 334M |
| 48 | distil-small.enonnx-community | Speech Recognition | 0 | ▲3.2%(up) | 1 | — |
| 49 | ContextualKunoichi_KTO-7B-GGUFmradermacher | — | 0 | ▲9.5%(up) | 1 | — |
| 50 | Qwen2-1.5B-InstructQwen | Text Generation | 0 | ▲0.5%(up) | 165 | 1.5B |