| 1 | OpenMed-ZeroShot-NER-Anatomy-Large-459MOpenMed | Token Classification | 0 | ▲3.3%(up) | 0 | — |
| 2 | superfast-tiny-home-robotics-json-1m-v1sraivante | Text Generation | 0 | — | 0 | 1.1M |
| 3 | OpenMed-ZeroShot-NER-Genome-Large-459M-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 4 | Qwen3-8B-reas-int-065-only-loss-noprompt-3epochs-enferrazzipietro | Text Generation | 0 | — | 0 | 308.2K |
| 5 | Flux-Toonic-2.5D-LoRAprithivMLmods | Text to Image | 0 | ▲0.0%(up) | 8 | — |
| 6 | OpenMed-PII-German-ClinicalE5-Large-335M-v1-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 7 | multilingual-e5-large-ft-sts-spanish-matryoshka-768-16-5emrm8488 | Sentence Similarity | 0 | ▲0.2%(up) | 6 | 560M |
| 8 | pythia-2.8b-dedupedEleutherAI | Text Generation | 0 | ▲0.7%(up) | 14 | 2.9B |
| 9 | IndicNERai4bharat | Token Classification | 0 | ▲0.1%(up) | 37 | — |
| 10 | Ling-3.0-flash-ROCmFP4-STRIX-MTP-GGUFraulvidis | — | 0 | ▲0.6%(up) | 10 | — |
| 11 | OpenMed-ZeroShot-NER-Organism-Medium-209M-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 12 | Phi-3.5-mini-instruct_Uncensored-GGUFbartowski | Text Generation | 0 | ▲0.8%(up) | 69 | — |
| 13 | Qwen2.5-7B-Instruct-TAP-DPQ-v6-GGUFDuoNeural | Text Generation | 0 | — | 0 | — |
| 14 | Qwen3-Embedding-0.6B-INT8-ONNXonnx-community | Embeddings | 0 | — | 0 | — |
| 15 | higgs-audio-v3-tts-4bonnx-community | Text to Speech | 0 | — | 14 | — |
| 16 | OpenMed-NER-SpeciesDetect-TinyMed-82M-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 17 | granite-4.2-8b-decensored-GGUFmradermacher | — | 0 | — | 0 | — |
| 18 | privacy-filter-GGUFLocalAI-io | Token Classification | 0 | ▲7.4%(up) | 4 | — |
| 19 | Horus-Hiero-Mini-4B-GGUFtokenaii | Image Text to Text | 0 | 0% | 1 | — |
| 20 | ldm-celebahq-256CompVis | Unconditional Image Generation | 0 | ▲0.0%(up) | 51 | — |
| 21 | Qwen2.5-VL-32B-Instruct-AWQQwen | Image Text to Text | 0 | ▲0.3%(up) | 66 | 33.5B |
| 22 | Qwen3.5-35B-A3B-awq-ov-flashcirculus | — | 0 | — | 0 | — |
| 23 | google_-_gemma-2b-ggufRichardErkhov | — | 0 | ▲2.6%(up) | 0 | — |
| 24 | ZipVoicek2-fsa | Text to Speech | 0 | — | 62 | — |
| 25 | bge-m3unsloth | Sentence Similarity | 0 | ▲2.0%(up) | 5 | — |
| 26 | nbk-ats-semantic-v1-en0xnbk | Sentence Similarity | 0 | ▲15.5%(up) | 2 | 32.7M |
| 27 | SDXL-Consists-Model-Lora-Collectionbdsqlsz | Text to Image | 0 | ▲0.6%(up) | 24 | — |
| 28 | qwen3-8b-ft-msmarcohanhainebula | Embeddings | 0 | — | 0 | 7.6B |
| 29 | Sailor-0.5B-GGUFmradermacher | — | 0 | ▲2.9%(up) | 0 | — |
| 30 | caformer_s18.sail_in22ktimm | Image Classification | 0 | ▲0.1%(up) | 0 | 69M |
| 31 | Qwen3.6-35B-A3B-Slovenian-GGUFtexdata | Text Generation | 0 | ▲5.0%(up) | 3 | — |
| 32 | kw5-lite-baseregnant-io | Text Generation | 0 | 0% | 0 | 110M |
| 33 | mobilenetv4_hybrid_medium.e500_r224_in1ktimm | Image Classification | 0 | 0% | 1 | 11.2M |
| 34 | Index-Translate-9B-IQ4_XS-GGUFshoutmon | Translation | 0 | — | 0 | — |
| 35 | gemma-4-26B-A4B-it-qat-q4_0-unquantized-heretic-ja-GGUFmradermacher | — | 0 | ▲5.0%(up) | 1 | — |
| 36 | Nemotron-Mini-4B-Instructnvidia | Text Generation | 0 | ▲1.5%(up) | 187 | — |
| 37 | llama-3.1-8b-oracle-rm-hh-rlhf-helpfulnesstheSOL1 | Text Classification | 0 | — | 0 | 7.5B |
| 38 | PIDNet-S-Cityscapes-LiteRTlitert-community | Image Segmentation | 0 | — | 1 | — |
| 39 | OpenMed-PII-Turkish-SuperClinical-Large-434M-v1OpenMed | Token Classification | 0 | — | 0 | 434M |
| 40 | Llama-3-8B-UltraMedical-i1-GGUFmradermacher | — | 0 | ▲0.2%(up) | 1 | — |
| 41 | kam-qwen3.6-35b-semigod-GGUFmradermacher | — | 0 | — | 0 | — |
| 42 | all-mpnet-base-v2-tabledeepset | Sentence Similarity | 0 | ▲0.0%(up) | 7 | 109M |
| 43 | LTX2.3-10ErosBenBens0n | Image To Video | 0 | 0% | 0 | — |
| 44 | OpenMed-NER-OrganismDetect-BigMed-560MOpenMed | Token Classification | 0 | ▲1.0%(up) | 0 | 559M |
| 45 | Qwen3-30B-A3B-M-SMoE-ngroups96Dohyeon1 | Text Generation | 0 | — | 0 | 30.5B |
| 46 | clip-ViT-L-14sentence-transformers | Sentence Similarity | 0 | — | 88 | — |
| 47 | llm-jp-4-8b-thinking_imabari_qa_v4_reasoning_effort_v2ikedachin | Text Generation | 0 | — | 0 | 8.6B |
| 48 | Ovis2.6-30B-A3B-AWQ-4bitcyankiwi | Image Text to Text | 0 | ▲0.1%(up) | 0 | 6.2B |
| 49 | qwen-auto-prompt-r3cmpatino | Image Text to Text | 0 | — | 0 | 853M |
| 50 | ERNIE-M-SMoE-ngroups56Dohyeon1 | Text Generation | 0 | — | 0 | 21.8B |