| 1 | Dans-PersonalityEngine-V1.3.0-12b-i1-GGUFmradermacher | — | 1,069 | — | 7 | — |
| 2 | Voxtral-Small-24B-2507-transformersMohamedRashad | Audio Text To Text | 1,069 | — | 3 | 24.3B |
| 3 | OlmoEarth-v1-Largeallenai | — | 1,069 | — | 21 | — |
| 4 | Parakeet-TDT-v3-CoreML-INT8-iOS-5saufklarer | — | 1,069 | — | 0 | — |
| 5 | yolov8m-nlf-head-detectionkeremberke | Object Detection | 1,069 | — | 4 | — |
| 6 | dolphin-2.9-llama3-70b-i1-GGUFmradermacher | — | 1,069 | — | 0 | — |
| 7 | Qwen3.5-122B-A10B-GPTQ-4bitbtbtyler09 | Image Text to Text | 1,069 | — | 2 | 125B |
| 8 | Wan2.1_T2V_14B_LightX2V_StepCfgDistill_VACE-GGUFQuantStack | Image To Video | 1,068 | — | 24 | — |
| 9 | indonesian-roberta-base-emotion-classifierStevenLimcorn | Text Classification | 1,068 | — | 15 | 125M |
| 10 | kushinada-hubert-baseimprt | Embeddings | 1,068 | — | 1 | — |
| 11 | phi-4-mini-3.8b-instruct-gguflm-kit | — | 1,068 | — | 1 | — |
| 12 | Qwen3-ASR-0.6B-GGUFmradermacher | — | 1,068 | — | 5 | — |
| 13 | qwen3-30b-a3bkerasformers | Text Generation | 1,068 | — | 0 | — |
| 14 | yolov8-ppe-detectionHansung-Cho | Object Detection | 1,068 | — | 6 | — |
| 15 | DeepSeek-Coder-V2-Instruct-0724-GGUFbartowski | Text Generation | 1,068 | — | 3 | — |
| 16 | Audio8-TTS-Preview-0.6B-ONNX-INT4Audio8 | Text to Speech | 1,068 | — | 48 | — |
| 17 | resnext50_32x4d.imagenetsmp-hub | Image Classification | 1,068 | — | 0 | 25.1M |
| 18 | qwen3-30b-a3bzeromodels | Text Generation | 1,068 | — | 0 | — |
| 19 | codegen25-7b-multi_PSalesforce | Text Generation | 1,068 | — | 138 | — |
| 20 | Qwen3.5-4B-Q4_K_M.ggufLocalScribe | — | 1,068 | — | 0 | — |
| 21 | Voxtral-Mini-3B-2507-transformersMohamedRashad | Audio Text To Text | 1,068 | — | 4 | 4.7B |
| 22 | G9v3-39A5B-Q3Q4-GGUFcafepm | Text Generation | 1,067 | — | 0 | — |
| 23 | MiniMax-M2.7-MXFP4olka-fi | Text Generation | 1,067 | — | 2 | 123B |
| 24 | Qwen3-Omni-30B-A3B-Instruct-NVFP4-W4A16-awqYihongJin | — | 1,067 | — | 1 | 20.3B |
| 25 | Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-NVFP4-MTP-GGUFSummonGovernance | Text Generation | 1,067 | — | 5 | — |
| 26 | Athene-Phi-3.5-mini-instruct-orpo-i1-GGUFmradermacher | — | 1,067 | — | 0 | — |
| 27 | EVA-Qwen2.5-14B-v0.1-i1-GGUFmradermacher | — | 1,067 | — | 4 | — |
| 28 | dots.llm1.instdots-studio | Text Generation | 1,067 | — | 179 | 143B |
| 29 | Supra2-100M-BaseSupraLabs | Text Generation | 1,067 | — | 22 | 101M |
| 30 | Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUFLeon0310 | Image Text to Text | 1,067 | — | 0 | — |
| 31 | models-appjorbassilva | — | 1,067 | — | 0 | — |
| 32 | dolphin-2.6-mixtral-8x7b-i1-GGUFmradermacher | — | 1,067 | — | 1 | — |
| 33 | Athenea-4B-VL-Thinking-i1-GGUFmradermacher | — | 1,066 | — | 0 | — |
| 34 | Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-abliterated-OptiQ-4.5bpw-mlxlemuralabs | Text Generation | 1,066 | — | 2 | 4.8B |
| 35 | Dreamshaper8Yntec | Text to Image | 1,066 | — | 8 | 860M |
| 36 | whisper-tamil-large-v2vasista22 | Speech Recognition | 1,066 | — | 10 | — |
| 37 | Qwen3.6-27B-Uncensored-Middle-GGUFmradermacher | — | 1,066 | — | 1 | — |
| 38 | aya-23-35B-IMat-GGUFlegraphista | Text Generation | 1,066 | — | 0 | — |
| 39 | Qwen1.5-MoE-A2.7B-Chat-Q4_0-GGUFfernandoruiz | Text Generation | 1,066 | — | 0 | — |
| 40 | ELYZA-japanese-Llama-2-7b-fastelyza | Text Generation | 1,066 | — | 22 | — |
| 41 | granite-3b-code-instruct-i1-GGUFmradermacher | — | 1,066 | — | 1 | — |
| 42 | opus-mt-en-slaHelsinki-NLP | Translation | 1,066 | — | 1 | — |
| 43 | sf3dcocktailpeanut | Image To 3d | 1,066 | — | 12 | 1B |
| 44 | Calme-4x7B-MoE-v0.2-GGUFMaziyarPanahi | Text Generation | 1,066 | — | 5 | — |
| 45 | OneReason-0.8B-pretrain-competitionOpenOneRec | Text Generation | 1,066 | — | 27 | 801M |
| 46 | Kimina-Prover-Distill-1.7BAI-MO | Text Generation | 1,066 | — | 7 | 2B |
| 47 | InstarealDaverrrr75 | Text to Image | 1,065 | — | 1 | — |
| 48 | checkpointalexgenovese | — | 1,065 | — | 10 | — |
| 49 | FableForge-1.5BKing3Djbl | Text Generation | 1,065 | — | 1 | 1.6B |
| 50 | Mistral-Medium-3.5-128B-Eschaton-Uncensored-GGUFmradermacher | — | 1,065 | — | 0 | — |