| 1 | AIRealNetModotte | Image Classification | 6,411 | +6,411 | 7 | 195M |
| 2 | tiny_OPTForFeatureExtraction-lorapeft-internal-testing | Text Generation | 6,410 | +6,410 | 1 | — |
| 3 | tiny_OPTForQuestionAnswering-lorapeft-internal-testing | — | 6,409 | +6,409 | 1 | — |
| 4 | bert-base-japanese-v2-wrime-fine-tunepatrickramos | Text Classification | 6,398 | +6,398 | 6 | 111M |
| 5 | HRM-Text-1Bsapientinc | Text Generation | 6,397 | +6,397 | 823 | 1.2B |
| 6 | falcon-7b-instructtiiuae | Text Generation | 6,395 | +6,395 | 1,033 | 7.2B |
| 7 | GLM-5.1-FP8zai-org | Text Generation | 6,390 | +6,390 | 122 | 754B |
| 8 | OpenMed-ZeroShot-NER-Oncology-Medium-209MOpenMed | Token Classification | 6,386 | +6,386 | 0 | — |
| 9 | RealVisXL_V5.0_LightningSG161222 | Text to Image | 6,386 | +6,386 | 63 | 2.6B |
| 10 | llava-v1.6-vicuna-7b-hfllava-hf | Image Text to Text | 6,375 | +6,375 | 34 | 7.1B |
| 11 | InternVL3_5-30B-A3B-InstructOpenGVLab | Image Text to Text | 6,374 | +6,374 | 11 | 30.8B |
| 12 | SmolLM2-135M-Instruct-GPTQlilmeaty | Text Generation | 6,373 | +6,373 | 0 | 135M |
| 13 | tiny_GPT2ForTokenClassification-lorapeft-internal-testing | — | 6,373 | +6,373 | 0 | — |
| 14 | tiny_OPTForSequenceClassification-lorapeft-internal-testing | — | 6,372 | +6,372 | 0 | — |
| 15 | resnext50_32x4d.a1h_in1ktimm | Image Classification | 6,371 | +6,371 | 1 | 25.1M |
| 16 | OlmoEarth-v1_2-Baseallenai | Image Feature Extraction | 6,370 | +6,370 | 7 | — |
| 17 | LocalAI-functioncall-qwen2.5-7b-v0.5-Q4_K_M-GGUFLocalAI-io | — | 6,369 | +6,369 | 0 | — |
| 18 | Nex-N2.5-mini-Uncensored-APEX-GGUFvikrant1123 | Image Text to Text | 6,369 | +6,369 | 2 | — |
| 19 | bert-base-japanese-v2tohoku-nlp | Fill Mask | 6,361 | +6,361 | 26 | — |
| 20 | Qwen2.5-1.5B-Instruct-bnb-4bitunsloth | Text Generation | 6,360 | +6,360 | 6 | 1.6B |
| 21 | Qwen3.8-27B-EfficientThink-Uncensored-K3-Opus5-Grok4.6-GPT5.6Sol-SFT-SimPO-DFlash2nerkyor | Text Generation | 6,355 | +6,355 | 60 | — |
| 22 | stable-diffusion-2-1-baseManojb | Text to Image | 6,350 | +6,350 | 66 | 866M |
| 23 | WanImageProcessorYiYiXu | — | 6,350 | +6,350 | 3 | — |
| 24 | Llama-Guard-3-8Bmeta-llama | Text Generation | 6,345 | +6,345 | 338 | 8B |
| 25 | Ministral-3-8B-Instruct-2512-GGUFunsloth | — | 6,342 | +6,342 | 44 | — |
| 26 | clip-flant5-xlzhiqiulin | Text Generation | 6,340 | +6,340 | 3 | — |
| 27 | medgemma-4b-it-GGUFunsloth | Image Text to Text | 6,338 | +6,338 | 74 | — |
| 28 | AnimateDiffcamenduru | — | 6,338 | +6,338 | 21 | — |
| 29 | nunchaku-qwen-imagenunchaku-ai | Text to Image | 6,337 | +6,337 | 263 | — |
| 30 | bertweet-pt-sentimentpysentimiento | — | 6,335 | +6,335 | 18 | 135M |
| 31 | Impish_LLAMA_4B_GGUFSicariusSicariiStuff | — | 6,335 | +6,335 | 10 | — |
| 32 | all-MiniLM-L6-v2optimum-intel-internal-testing | Sentence Similarity | 6,331 | +6,331 | 0 | 22.7M |
| 33 | Phi-4-reasoning-plus-MLX-4bitlmstudio-community | Text Generation | 6,329 | +6,329 | 1 | 14.7B |
| 34 | bark-smallsuno | Text to Speech | 6,329 | +6,329 | 264 | — |
| 35 | mistralai_Ministral-3-3B-Instruct-2512-GGUFbartowski | Image Text to Text | 6,328 | +6,328 | 7 | — |
| 36 | Depth-Anything-V2-Metric-Indoor-Base-hfdepth-anything | Depth Estimation | 6,327 | +6,327 | 4 | 97.5M |
| 37 | Ministral-3-14B-Reasoning-2512mistralai | — | 6,325 | +6,325 | 156 | 13.9B |
| 38 | Gemma-4-12B-OBLITERATEDOBLITERATUS | Text Generation | 6,324 | +6,324 | 468 | 12B |
| 39 | Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-GGUFhesamation | Text Generation | 6,317 | +6,317 | 293 | — |
| 40 | patchtst-fm-r1ibm-research | Time Series Forecasting | 6,307 | +6,307 | 10 | 258M |
| 41 | sd-controlnet-cannylllyasviel | Image To Image | 6,305 | +6,305 | 252 | 361M |
| 42 | Qwen3.6-35B-A3B-4bitmlx-community | Image Text to Text | 6,305 | +6,305 | 113 | 35.1B |
| 43 | vit_base_patch16_224.maetimm | Image Feature Extraction | 6,304 | +6,304 | 6 | 85.8M |
| 44 | vit_small_patch16_384.augreg_in21k_ft_in1ktimm | Image Classification | 6,302 | +6,302 | 2 | 22.2M |
| 45 | resnet50.imagenetsmp-hub | Image Classification | 6,299 | +6,299 | 0 | 25.6M |
| 46 | Qwen2.5-VL-3B-Instruct-abliteratedhuihui-ai | Image Text to Text | 6,298 | +6,298 | 35 | 3.8B |
| 47 | gpt2-babylm-5BrainAlign | — | 6,297 | +6,297 | 0 | 135M |
| 48 | vit-base-patch32-224-in21kgoogle | Image Feature Extraction | 6,294 | +6,294 | 20 | 88M |
| 49 | small-agentic-model-2bjoaosollatori | Text Generation | 6,288 | +6,288 | 0 | 124M |
| 50 | mobilevitv2_050.cvnets_in1ktimm | Image Classification | 6,288 | +6,288 | 3 | 1.4M |