| 1 | F5-TTS-Germanaihpi | Text to Speech | 2 | — | 39 | — |
| 2 | ettin-encoder-1bjhu-clsp | Embeddings | 2 | ▲35.0%(up) | 31 | — |
| 3 | Krea2-Turbo-Distill-2step-LoRAlvladikov | Text to Image | 2 | — | 41 | — |
| 4 | mbart-large-50facebook | — | 2 | ▲0.1%(up) | 169 | — |
| 5 | deberta-base-mnlimicrosoft | Text Classification | 2 | ▲0.3%(up) | 11 | — |
| 6 | Cyber-Tiel-Coder-35B-A3B-MLX-oQ6e-MTPpeculiar-ragdoll | Image Text to Text | 2 | — | 8 | 36B |
| 7 | Qwen-Image-2.1-MLX-4bitmlx-community | Text to Image | 2 | — | 18 | — |
| 8 | Nemotron-Content-Safety-Reasoning-4Bnvidia | Text Generation | 2 | ▲1.1%(up) | 32 | 4.3B |
| 9 | JEMMMaestroYan | — | 2 | — | 28 | — |
| 10 | moshiko-pytorch-bf16kyutai | — | 2 | ▲0.3%(up) | 260 | 7.7B |
| 11 | SoL-Refiner-LTX-2.5-for-MiniMax-H3Efficient-Large-Model | — | 2 | — | 15 | 19B |
| 12 | GEM-Xnvidia | — | 2 | ▲3.3%(up) | 28 | — |
| 13 | canine-sgoogle | Embeddings | 2 | ▲1.0%(up) | 34 | 132M |
| 14 | t5-efficient-tiny-nl6google | — | 2 | — | 2 | — |
| 15 | xlm-align-basemicrosoft | Fill Mask | 2 | — | 11 | — |
| 16 | agate-preview-003Logolabs | Text to Image | 2 | — | 13 | — |
| 17 | SAE-Res-Qwen3.5-35B-A3B-Base-W32K-L0_50Qwen | — | 2 | — | 12 | — |
| 18 | GLM-4.7-Flash-REAP-23B-A3B-GGUFunsloth | Text Generation | 2 | ▲3.1%(up) | 285 | — |
| 19 | Wan2.1-VACE-14BWan-AI | Image To Video | 2 | ▲3.6%(up) | 518 | 17.3B |
| 20 | Qwen2.5-Coder-3B-Instruct-AWQQwen | Text Generation | 2 | ▲0.3%(up) | 10 | 3.4B |
| 21 | Qwen3.8-27B-QUASAR-QAT-nvfp4-NInferFeyd89 | — | 2 | — | 7 | — |
| 22 | FLUX.1-dev-FP8black-forest-labs | Text to Image | 2 | — | 162 | — |
| 23 | VGGT-1Bfacebook | Image To 3d | 2 | ▲2.4%(up) | 146 | 1.3B |
| 24 | Cosmos-1.0-Guardrailnvidia | — | 2 | ▲1.7%(up) | 84 | — |
| 25 | mask2former-swin-small-cityscapes-semanticfacebook | Image Segmentation | 2 | ▲0.4%(up) | 5 | 68.8M |
| 26 | qwen3-0.6b-trerkamk | Text to Speech | 2 | — | 3 | 915M |
| 27 | qwen3.8-9b-uncensored-cyber-exploit-XRPL-v3Krypto-Whitehat | Text Generation | 2 | ▲15.6%(up) | 9 | — |
| 28 | git-base-msrvtt-qamicrosoft | Image to Text | 2 | — | 5 | 177M |
| 29 | OmniJev-OneJev1.5-27B-GGUFprithivMLmods | Image Text to Text | 2 | — | 2 | — |
| 30 | MiLMMT-46-4B-v1.0xiaomi-research | Translation | 2 | ▲1.1%(up) | 20 | 4.3B |
| 31 | t5-efficient-tiny-el2google | — | 2 | — | 3 | — |
| 32 | t5-efficient-tiny-nh1google | — | 2 | — | 2 | — |
| 33 | d1-3B-MLX-8bitLiquidAI | Image Text to Text | 2 | — | 2 | 3.1B |
| 34 | d1-3B-MLX-4bitLiquidAI | Image Text to Text | 2 | — | 2 | 3.1B |
| 35 | tapas-large-finetuned-sqagoogle | Table Question Answering | 2 | ▲3.3%(up) | 9 | — |
| 36 | Phi-3-medium-4k-instruct-onnx-cpumicrosoft | Text Generation | 2 | — | 9 | — |
| 37 | Qwen3-0.6B-MLX-8bitQwen | Text Generation | 2 | — | 7 | 596M |
| 38 | metricx-24-hybrid-large-v2p6-bfloat16google | — | 2 | ▲2.6%(up) | 6 | — |
| 39 | MERT-v1-95Mm-a-p | Audio Classification | 2 | ▲1.8%(up) | 62 | — |
| 40 | mms-lid-512facebook | Audio Classification | 2 | ▲7.6%(up) | 4 | 966M |
| 41 | Dayhoff-170M-UR90-HL-40000microsoft | Text Generation | 2 | — | 2 | 170M |
| 42 | dinov2-with-registers-giantfacebook | Image Feature Extraction | 2 | ▲0.7%(up) | 9 | 1.1B |
| 43 | mms-tts-bqifacebook | Text to Speech | 2 | — | 2 | 36.3M |
| 44 | mms-tts-glkfacebook | Text to Speech | 2 | — | 2 | 36.3M |
| 45 | Qwen-Image-Edit-2511-Noir-Comic-Book-PanelprithivMLmods | Image To Image | 2 | ▲6.2%(up) | 10 | — |
| 46 | t5-v1_1-xlgoogle | — | 2 | ▲0.0%(up) | 19 | — |
| 47 | MiniMax-H3-INT4_Convrot_ComfyUIWinnougan | Image To Video | 2 | — | 31 | — |
| 48 | Llama-3.1-Nemotron-70B-Instruct-HFnvidia | Text Generation | 2 | ▲0.3%(up) | 2,071 | 70.6B |
| 49 | Yuan-embedding-2.0-enIEITYuan | — | 2 | ▲2.1%(up) | 10 | 596M |
| 50 | Qwen3.8-27B-Alis-MLX-8bitavlp12 | Image Text to Text | 2 | ▲5.3%(up) | 9 | 27.3B |