| 1 | Janus-35B-HERETICFoolDev | Text Generation | 0 | — | 2 | — |
| 2 | qwen3-1.7b-base-code-sft-shuffled-lr1e5-step102RL-Forgetting-Experiments-3 | Text Generation | 0 | — | 0 | 1.7B |
| 3 | DeepSeek-V4-Flash-0731-ream-200b-ggufpuwaer | Text Generation | 0 | ▲5.2%(up) | 1 | — |
| 4 | Qwen3.8-27B-MTP-heretic-ja-GGUFmradermacher | — | 0 | ▲6.7%(up) | 0 | — |
| 5 | dots.mocr-FP8binedge | Image Text to Text | 0 | ▲1.9%(up) | 1 | 3B |
| 6 | Qwen3.8-27B-Aggressive-MTP-Q8magfh | — | 0 | — | 0 | — |
| 7 | LLM4Binary_-_llm4decompile-6.7b-v2-ggufRichardErkhov | — | 0 | ▲1.9%(up) | 0 | — |
| 8 | pythia-160m-data-seed2EleutherAI | Text Generation | 0 | ▲0.5%(up) | 0 | — |
| 9 | Murasaki-4B-v0.3-GGUFmradermacher | Translation | 0 | ▲5.3%(up) | 3 | — |
| 10 | DETR-ResNet50-DC5qualcomm | Object Detection | 0 | ▲12.4%(up) | 1 | — |
| 11 | qwen-image-protrait-eroticLPDoctor | Text to Image | 0 | — | 0 | — |
| 12 | tiny-Qwen2ForSequenceClassification-2.5trl-internal-testing | Text Classification | 0 | ▲2.3%(up) | 1 | 2.4M |
| 13 | genderizeimranali291 | Text Classification | 0 | ▲0.1%(up) | 4 | 109M |
| 14 | Gemma-4-26B-A4B-StyleTune-i1-GGUFmradermacher | — | 0 | ▲0.6%(up) | 6 | — |
| 15 | Pebble-50M-Chat-betabasically-experimental | Text Generation | 0 | — | 0 | 49.3M |
| 16 | unlimited-ocr-crispembed-GGUFcstr | Image Text to Text | 0 | ▲13.2%(up) | 1 | — |
| 17 | moss-moon-003-sft-pluginOpenMOSS-Team | Text Generation | 0 | ▲0.3%(up) | 72 | — |
| 18 | HiDream-O1-Image-Dev-FP8drbaph | Image Text To Image | 0 | ▲20.9%(up) | 6 | 8.8B |
| 19 | msmarco-roberta-base-v2sentence-transformers | Sentence Similarity | 0 | ▲0.0%(up) | 2 | 125M |
| 20 | ViT-B-16-SigLIP2-512timm | Zero-Shot Image Classification | 0 | ▲0.4%(up) | 1 | — |
| 21 | Llama-2-13B-fp16-frenchNekochu | Text Generation | 0 | ▲0.9%(up) | 12 | — |
| 22 | backdoor-gemma2-9b-2single-frenchthoughtworks | Text Generation | 0 | — | 0 | 9.2B |
| 23 | OpenMed-PII-Portuguese-SuperMedical-Base-125M-v1OpenMed | Token Classification | 0 | ▲4.8%(up) | 0 | 124M |
| 24 | Homo-GE2PE-Persian-HFmehdi-hf | Text to Speech | 0 | — | 1 | 8.3M |
| 25 | mhubert-base-25hzslprl | Embeddings | 0 | ▲5.2%(up) | 4 | 94.9M |
| 26 | bc5cdr-biobert-nernarendrakalam2001 | — | 0 | ▲1.1%(up) | 0 | 108M |
| 27 | Llama-3-8B-instructAI-Sweden-Models | Text Generation | 0 | ▲0.4%(up) | 13 | 8B |
| 28 | Llama-3.1-8B-old-bird-names-v2-sft-seed5longtermrisk | Text Generation | 0 | 0% | 0 | 8B |
| 29 | Qwen3.5-35B-A3B-APEX-TQ-GGUFmudler | — | 0 | ▲2.5%(up) | 15 | — |
| 30 | RPBizkit-v9-12BRicardoEstep | Text Generation | 0 | — | 0 | 12.2B |
| 31 | phobert-base-vi-sentiment-analysismr4 | Text Classification | 0 | ▲0.0%(up) | 5 | 135M |
| 32 | Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-Tess-i1-GGUFmradermacher | Text Generation | 0 | ▲4.7%(up) | 1 | — |
| 33 | latex_finetunedtjoab | Image Text to Text | 0 | ▲0.5%(up) | 3 | 334M |
| 34 | Qwen3.5-4B-Instruct-GGUFopenresearchtools | — | 0 | ▲5.5%(up) | 2 | — |
| 35 | L3-Dark-Planet-8B-NEO-Imatrix-GGUFDavidAU | Text Generation | 0 | ▲7.6%(up) | 9 | — |
| 36 | LLaMA-2-7B-32K-Instruct_GGUFrozek | Text Generation | 0 | ▲1.0%(up) | 4 | — |
| 37 | lt-wikidata-comp-multidell-research-harvard | Sentence Similarity | 0 | ▲0.1%(up) | 2 | 278M |
| 38 | test-hnet-upload-kmer_pcad2_8k_cad_C3T1C19_kmer6_D1024_lr-0.0005emarro | Embeddings | 0 | — | 0 | — |
| 39 | Nemotron-Orchestrator-8Bnvidia | Text Generation | 0 | ▲0.5%(up) | 599 | 8.2B |
| 40 | LaMini-Flan-T5-248MMBZUAI | Text Generation | 0 | ▲0.1%(up) | 81 | — |
| 41 | Negative_LLAMA_70BSicariusSicariiStuff | — | 0 | ▲0.1%(up) | 69 | 70.6B |
| 42 | gemma-4-12B-it-qat-q4_0-unquantized-assistantgoogle | Any to Any | 0 | ▲0.3%(up) | 24 | 423M |
| 43 | Qwen3.5-9B-heretic-i1-GGUFmradermacher | — | 0 | ▲0.3%(up) | 3 | — |
| 44 | Laguna-S-2.1-IQ4_XS-Q4_K_M-GGUFAbiray | Text Generation | 0 | ▲1.3%(up) | 13 | — |
| 45 | B1.1-9B-GGUFmradermacher | — | 0 | — | 0 | — |
| 46 | Matrix-Game-3.0Skywork | Image Text To Video | 0 | ▲3.2%(up) | 135 | — |
| 47 | furryrock-model-safetensorslodestones | — | 0 | — | 93 | — |
| 48 | MyAwesomeModel-TestRepoargagar | — | 0 | — | 0 | — |
| 49 | PIQ-ESC50speechbrain | — | 0 | ▲4.3%(up) | 3 | — |
| 50 | Classification-DIAS-65BandsDaneshSelwal | — | 0 | — | 1 | — |