| 1 | NeoBERT-GGUFmradermacher | — | 0 | ▲8.1%(up) | 1 | — |
| 2 | LFM2.5-2.6B-GGUFlmstudio-community | — | 0 | ▲3.5%(up) | 0 | — |
| 3 | Hermes-4.3-36B-heretic-i1-GGUFmradermacher | — | 0 | 0% | 3 | — |
| 4 | base-ro-125mflaviussteff | Text Generation | 0 | — | 0 | 88.1M |
| 5 | Qwen3-Coder-Next-GGUFggml-org | — | 0 | ▲2.6%(up) | 11 | — |
| 6 | OpenMed-PII-Italian-BioClinicalBERT-Base-110M-v1OpenMed | Token Classification | 0 | ▲4.1%(up) | 0 | 108M |
| 7 | colpali-v1.2vidore | Visual Document Retrieval | 0 | ▲0.9%(up) | 113 | — |
| 8 | kandinsky-3kandinsky-community | Text to Image | 0 | ▲0.0%(up) | 126 | — |
| 9 | AI-Content-DetectorPirateXX | Text Classification | 0 | ▲5.1%(up) | 11 | — |
| 10 | Qwen3.6-35B-A3B-PAROz-lab | Image Text to Text | 0 | ▲1.1%(up) | 9 | 6.1B |
| 11 | Skywork-R1V3-38B-GGUFlmstudio-community | Image Text to Text | 0 | ▲1.0%(up) | 3 | — |
| 12 | Ministral-3-14B-Base-2512-chatml-i1-GGUFmradermacher | — | 0 | ▲0.4%(up) | 0 | — |
| 13 | SenseNova-U1-8B-MoT-Merger-ggufsmthem | — | 0 | ▲3.7%(up) | 48 | — |
| 14 | Qwen2.5-VL-7B-Instruct-unsloth-bnb-4bitunsloth | Image Text to Text | 0 | ▲0.3%(up) | 51 | 8.5B |
| 15 | Lumina-Next-SFT-diffusersAlpha-VLLM | Text to Image | 0 | ▲0.1%(up) | 27 | 1.8B |
| 16 | Qwen3.6-27B-MTPLX-OptimizedYoussofal | Text Generation | 0 | — | 9 | 26.9B |
| 17 | Raptor-0.6-4B-GGUFOsaurusAI | Text Generation | 0 | — | 5 | — |
| 18 | BLEURT-20lucadiliello | Text Classification | 0 | ▲0.2%(up) | 6 | — |
| 19 | chinese-mixtral-ggufhfl | — | 0 | ▲2.0%(up) | 6 | — |
| 20 | finqa_modelanablasi | Question Answering | 0 | ▲34.6%(up) | 0 | — |
| 21 | DeepSeek-V3.2-Exp-Basedeepseek-ai | Text Generation | 0 | ▲2.3%(up) | 68 | 685B |
| 22 | SeaQwen2-0.5BSeacomSrl | Text Generation | 0 | ▲0.6%(up) | 0 | 494M |
| 23 | OpenMed-PII-Spanish-BigMed-Large-560M-v1-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 24 | qwen3-tts-0-6b-base-mix-precisionArm | Text to Speech | 0 | — | 4 | — |
| 25 | Ministral-3-3B-Instruct-2512-roleplay-tuned-ERP-tolerant-i1-GGUFmradermacher | — | 0 | ▲1.3%(up) | 1 | — |
| 26 | granite-4.0-micro-baseibm-granite | Text Generation | 0 | — | 40 | 3.4B |
| 27 | Lodestar-4B-GGUFmradermacher | — | 0 | — | 0 | — |
| 28 | WestLakeMultiverse-12B-MoE-Q4_K_M-GGUFRuby-NewLeaf | — | 0 | ▲0.1%(up) | 0 | — |
| 29 | OpenMed-ZeroShot-NER-DNA-Medium-209M-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 30 | NeuralDaredevil-8B-abliterated-GGUFbartowski | Text Generation | 0 | ▲1.3%(up) | 13 | — |
| 31 | OpenMed-PII-French-SuperMedical-Large-355M-v1-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 32 | bhili-asr-conformer-600mai4bharat | Speech Recognition | 0 | — | 1 | — |
| 33 | MiniCPM5-1B-Base-RLGoekdeniz-Guelmez | Text Generation | 0 | — | 1 | 1.1B |
| 34 | Hermes-4-14B-BF16-abliterated-i1-GGUFmradermacher | — | 0 | ▲1.7%(up) | 5 | — |
| 35 | Bioinspired-Llama-3-1-8B-128k-alpha-GGUFmradermacher | — | 0 | ▲3.8%(up) | 0 | — |
| 36 | Qwen2.5-3B-Instruct-imatrix-GGUFduyntnet | Text Generation | 0 | — | 0 | — |
| 37 | ESMC-600M-sae-layer27-k256-codebook32768biohub | Embeddings | 0 | — | 0 | — |
| 38 | MythoMax-L2-13b-heretic-GGUFmradermacher | — | 0 | 0% | 0 | — |
| 39 | test-ttm-v1ibm-research | Time Series Forecasting | 0 | ▲0.2%(up) | 0 | 805.3K |
| 40 | NeuralStar_FusionWriter_4x7b-i1-GGUFmradermacher | — | 0 | ▲6.2%(up) | 1 | — |
| 41 | zhangenpyaging | — | 0 | — | 0 | — |
| 42 | OpenMed-NER-AnatomyDetect-SuperMedical-125MOpenMed | Token Classification | 0 | ▲2.3%(up) | 0 | 124M |
| 43 | CAJAL-4BAgnuxo | Text Generation | 0 | ▲0.8%(up) | 1 | — |
| 44 | gpt-oss-20b-OBLITERATED-i1-GGUFmradermacher | — | 0 | 0% | 0 | — |
| 45 | tiny-random-qwen38-flash-nextoptimum-intel-internal-testing | — | 0 | — | 0 | 8.3M |
| 46 | nli-deberta-baseXenova | Zero-Shot Classification | 0 | ▲0.8%(up) | 0 | — |
| 47 | Darwin-36B-Opus-i1-GGUFmradermacher | — | 0 | ▲3.3%(up) | 24 | — |
| 48 | Qwen3.8-27B-DFlash2-GGUFAkicou | Text Generation | 0 | ▲16.6%(up) | 0 | — |
| 49 | Wahler-4B-GGUFmradermacher | Text Classification | 0 | — | 0 | — |
| 50 | tiny-random-SpeechT5ForTextToSpeechoptimum-intel-internal-testing | — | 0 | ▲3.5%(up) | 0 | — |