| 1 | Qwen3.6-35B-A3B-Uncensored-HauhauCS-AggressiveONYX-Systems | Image Text to Text | 0 | ▲1.5%(up) | 0 | — |
| 2 | BERTopic_WikipediaMaartenGr | Text Classification | 0 | ▲0.0%(up) | 50 | — |
| 3 | Qwen3-8B-192k-Context-6X-Josiefied-UncensoredDavidAU | Text Generation | 0 | ▲1.8%(up) | 9 | 8.2B |
| 4 | ERNIE-4.5-VL-424B-A47B-PTbaidu | Image Text to Text | 0 | ▲0.0%(up) | 105 | 424B |
| 5 | distilbert-base-uncased-finetuned-sst-2-english-int8-dynamicecharlaix | Text Classification | 0 | ▲0.1%(up) | 1 | — |
| 6 | Qwen-14B-ChatQwen | Text Generation | 0 | ▲0.1%(up) | 373 | 14.2B |
| 7 | wav2vec2-large-robust-12-ft-emotion-msp-dimaudeering | Audio Classification | 0 | ▲0.7%(up) | 174 | 165M |
| 8 | pianissimo-sv-coremlmarkstrom | Speech Recognition | 0 | — | 0 | — |
| 9 | kev-0.8b-vllm-cppmudler | — | 0 | — | 0 | 752M |
| 10 | openchat-3.5-0106-gemmaopenchat | Text Generation | 0 | ▲0.4%(up) | 57 | 8.5B |
| 11 | Qwen-Image-2.1-Uncensored-GGUFJanchan123 | Text to Image | 0 | — | 3 | — |
| 12 | OpenMed-NER-DNADetect-SuperClinical-141MOpenMed | Token Classification | 0 | ▲2.3%(up) | 0 | 141M |
| 13 | DeepHermes-3-Llama-3-8B-Preview-GGUFNousResearch | — | 0 | ▲0.4%(up) | 90 | — |
| 14 | w2v-bert-2.0-hungarian-CV24.0GaborMadarasz | Speech Recognition | 0 | — | 0 | 606M |
| 15 | VulnLLM-R-7B-GGUFmradermacher | — | 0 | ▲2.9%(up) | 13 | — |
| 16 | granite-4.0-micro-GGUFibm-granite | — | 0 | ▲2.2%(up) | 22 | — |
| 17 | Qwen3.8-27B-heretic-dflash2jfan | Text Generation | 0 | ▲9.2%(up) | 1 | 1.9B |
| 18 | moonshine-base-ja-ONNXonnx-community | Speech Recognition | 0 | ▲8.3%(up) | 0 | — |
| 19 | repvgg_a2.rvgg_in1ktimm | Image Classification | 0 | ▲0.2%(up) | 1 | 28.3M |
| 20 | moss-tts-local-transformer-4.55b-voice-acting-v2-dpo-loralaion | Text to Speech | 0 | — | 0 | — |
| 21 | resnext101_32x16d.fb_swsl_ig1b_ft_in1ktimm | Image Classification | 0 | ▲0.1%(up) | 2 | 194M |
| 22 | Qwen3.5-9B-UncensoredLEONW24 | Text Generation | 0 | ▲3.0%(up) | 57 | — |
| 23 | odooclaw-medium-2.6b-ft-mlx-bf16nicolasramos | Text Generation | 0 | — | 0 | 2.7B |
| 24 | FLUX.1-dev-LoRA-Outfit-Generatortryonlabs | Text to Image | 0 | ▲0.2%(up) | 220 | — |
| 25 | Kimi-2.5-text-nvfp4-v6-mlp-onlybaseten-admin | — | 0 | ▲0.9%(up) | 1 | — |
| 26 | jpalgo_-_llama-3.1-7k-qlora-v1-ggufRichardErkhov | — | 0 | — | 0 | — |
| 27 | Misted-Toppy-11B-GGUFmradermacher | — | 0 | ▲7.3%(up) | 1 | — |
| 28 | segformer-b0-finetuned-ade-512-512Xenova | Image Segmentation | 0 | ▲0.2%(up) | 2 | — |
| 29 | Jais-family-256m-GGUFmradermacher | — | 0 | 0% | 0 | — |
| 30 | CASA-Qwen2_5-VL-3B-LiveCCkyutai | Video Text To Text | 0 | 0% | 6 | 4.4B |
| 31 | Chinese-Alpaca-2-13B-GGUFTheBloke | — | 0 | ▲3.8%(up) | 10 | — |
| 32 | Llama-SEA-LION-v3-8B-IT-GGUFaisingapore | Text Generation | 0 | ▲3.0%(up) | 0 | — |
| 33 | llama3-8B-DarkIdol-1.1-GGUFmradermacher | — | 0 | ▲1.6%(up) | 2 | — |
| 34 | swinv2_base_window8_256.ms_in1ktimm | Image Classification | 0 | ▲0.5%(up) | 0 | 88.4M |
| 35 | gliner_datauseai4data | Token Classification | 0 | ▲30.2%(up) | 1 | — |
| 36 | IF-II-M-v1.0DeepFloyd | Text to Image | 0 | ▲0.0%(up) | 39 | 461M |
| 37 | DeepSeek-R1-8B-PolySurgeryaecetin | Text Generation | 0 | — | 0 | — |
| 38 | kontext-ggufcalcuis | Image To Image | 0 | ▲1.6%(up) | 34 | 6.1B |
| 39 | Qemma-reduxreaperdoesntknow | Text Generation | 0 | ▲5.2%(up) | 0 | — |
| 40 | mobilenetv4_conv_small.e1200_r224_in1ktimm | Image Classification | 0 | ▲0.2%(up) | 2 | 3.8M |
| 41 | SmolLM3-3B-FP8-dynamicRedHatAI | Text Generation | 0 | ▲1.9%(up) | 2 | 3.1B |
| 42 | Ministral-3-14B-Reasoning-2512-bnb-4bitunsloth | — | 0 | ▲1.3%(up) | 0 | 13.9B |
| 43 | Janus-Pro-1Bdeepseek-ai | Any to Any | 0 | ▲0.1%(up) | 488 | — |
| 44 | LightOnOCR-2-1B-baselightonai | Image Text to Text | 0 | ▲7.2%(up) | 14 | 1B |
| 45 | nunchaku-qwen-image-editkp-forks | Text to Image | 0 | — | 0 | — |
| 46 | AquilaChat2-34B-16K-GGUFmradermacher | — | 0 | — | 0 | — |
| 47 | Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-MLX-mxfp8TheCluster | Image Text to Text | 0 | ▲2.7%(up) | 8 | 9.4B |
| 48 | Nemotron-3.5-30B-A3B-Antislop-FTPO-GGUFmradermacher | — | 0 | — | 1 | — |
| 49 | InternViT-6B-448px-V1-5OpenGVLab | Image Feature Extraction | 0 | ▲0.1%(up) | 76 | 5.5B |
| 50 | c4ai-command-r7b-12-2024CohereLabs | Text Generation | 0 | ▲0.5%(up) | 429 | 8B |