| 1 | magnum-v4-12banthracite-org | Text Generation | 0 | ▲2.3%(up) | 54 | 12.2B |
| 2 | GLM-5.3-NVFP4-GGUFemwesoft | Text Generation | 0 | — | 0 | — |
| 3 | Qwen3.8-2.4T-A95B-MTP-ONLY-GGUFa4lg | — | 0 | ▲0.8%(up) | 2 | — |
| 4 | GreenOgno-v2-7b-passthrough-GGUFmradermacher | — | 0 | ▲2.8%(up) | 0 | — |
| 5 | gender-classificationrizvandwiki | Image Classification | 0 | ▲0.8%(up) | 64 | 85.8M |
| 6 | Irodori-TTS-v4-SmallAratako | Text to Speech | 0 | — | 54 | 766M |
| 7 | vip-llava-7b-hfllava-hf | Image Text to Text | 0 | ▲0.5%(up) | 16 | 7.1B |
| 8 | finetune_base_bge_pretrained_v4RishuD7 | Embeddings | 0 | ▲0.3%(up) | 0 | — |
| 9 | MyAwesomeModel-TestRepoMalaniAro | Embeddings | 0 | — | 0 | — |
| 10 | microbert-coptic-mlgessler | Embeddings | 0 | — | 0 | 1.3M |
| 11 | DistillQwen-ThoughtY-32B-i1-GGUFmradermacher | — | 0 | — | 1 | — |
| 12 | Qwen3-Coder-30B-A3B-Instruct-GPTQ-Int8QuantTrio | Text Generation | 0 | ▲38.8%(up) | 8 | 30.5B |
| 13 | clip-japanese-base-v2line-corporation | Embeddings | 0 | ▲1.4%(up) | 18 | 196M |
| 14 | bert_uncased_L-2_H-512_A-8google | — | 0 | ▲1.0%(up) | 0 | — |
| 15 | irx-1ikppramesh | Text Generation | 0 | 0% | 1 | 1.9B |
| 16 | VoiceInk-Refine-V1beingpax | Text Generation | 0 | ▲19.8%(up) | 0 | 1.9B |
| 17 | gemma-4-31b-it-assistant-mtp-ggufNotMe404 | — | 0 | ▲1.4%(up) | 9 | — |
| 18 | Jibay_2-i1-GGUFmradermacher | Text Generation | 0 | ▲2.4%(up) | 2 | — |
| 19 | dasheng-audiogen-ggufaudiohacking | Text to Audio | 0 | ▲1.8%(up) | 3 | — |
| 20 | Qwen3-30B-A3B-Instruct-2507-FP8furiosa-ai | Text Generation | 0 | ▲11.8%(up) | 0 | 30.5B |
| 21 | Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_Mwowmonkey | — | 0 | ▲1.7%(up) | 1 | — |
| 22 | Huihui-Qwen3-VL-8B-Instruct-abliterated-FP8huihui-ai | Image Text to Text | 0 | — | 9 | 8.1B |
| 23 | StarCoder2-3B-GGUFsecond-state | Text Generation | 0 | ▲0.9%(up) | 20 | — |
| 24 | LM-1b_1x-BaselineWebOrganizer | Text Generation | 0 | — | 0 | 1.4B |
| 25 | MeinaMix_v11digiplay | Text to Image | 0 | ▲2.9%(up) | 8 | 860M |
| 26 | OpenMed-NER-DiseaseDetect-ModernMed-395MOpenMed | Token Classification | 0 | ▲2.6%(up) | 0 | 396M |
| 27 | jevify-gemma4-26b-a4b-GGUFmradermacher | — | 0 | — | 0 | — |
| 28 | Eagle2-2Bnvidia | Image Text to Text | 0 | ▲0.3%(up) | 34 | 2.2B |
| 29 | OlmoEarth-v1_2-Smallallenai | Image Feature Extraction | 0 | ▲27.5%(up) | 5 | — |
| 30 | baidu_ERNIE-4.5-21B-A3B-PT-GGUFbartowski | Text Generation | 0 | ▲2.1%(up) | 6 | — |
| 31 | Orthrus-12b-v0.8-i1-GGUFmradermacher | — | 0 | ▲4.8%(up) | 2 | — |
| 32 | qwen2.5-0.5b-ft-matched-mergedFiremedic15 | Text Generation | 0 | — | 0 | 494M |
| 33 | DaringMaid-20B-GGUFTheBloke | Text Generation | 0 | — | 20 | — |
| 34 | prose-rewriter-4b-v2-i1-GGUFmradermacher | — | 0 | — | 0 | — |
| 35 | switch-c-2048google | — | 0 | ▲1.1%(up) | 302 | — |
| 36 | OpenMed-PII-Telugu-SuperMedical-Large-355M-v1-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 37 | Heejindo_-_feedback_model_e10_save5000-ggufRichardErkhov | — | 0 | — | 0 | — |
| 38 | bert-base-chinese-posckiplab | Token Classification | 0 | ▲0.2%(up) | 17 | — |
| 39 | sarvam-30b-AWQQuantTrio | Text Generation | 0 | 0% | 2 | 6.8B |
| 40 | Ouroboros-24B-v1.4-i1-GGUFmradermacher | — | 0 | ▲3.2%(up) | 0 | — |
| 41 | Qwen-SEA-LION-v4.5-27B-IT-FP8-Dynamictoeniant | Image Text to Text | 0 | — | 0 | 26.9B |
| 42 | Qwen3-Coder-REAP-25B-A3Bcerebras | Text Generation | 0 | ▲0.1%(up) | 90 | 24.9B |
| 43 | Qwen3.5-4B-Opus-Distilled-Heretic-Thinking-Multistage-SFT-v1.0-i1-GGUFmradermacher | Text Generation | 0 | ▲7.3%(up) | 0 | — |
| 44 | opus-mt-tc-big-gmq-enHelsinki-NLP | Translation | 0 | ▲1.5%(up) | 0 | 232M |
| 45 | Llama-2-13b-chatmeta-llama | Text Generation | 0 | — | 295 | — |
| 46 | Florence-2-large-ftflorence-community | Image Text to Text | 0 | ▲0.8%(up) | 6 | 770M |
| 47 | t5-base-finetuned-span-sentiment-extractionmrm8488 | — | 0 | ▲0.2%(up) | 11 | — |
| 48 | NVIDIA-Nemotron-Nano-12B-v2-Basenvidia | Text Generation | 0 | ▲2.4%(up) | 92 | 12.3B |
| 49 | VHHBERTCOGNANO | Fill Mask | 0 | ▲1.4%(up) | 1 | 85.8M |
| 50 | WeVisDoc-4B-i1-GGUFmradermacher | — | 0 | — | 1 | — |