| 1 | bge-large-zh-i1-GGUFmradermacher | — | 285 | — | 0 | — |
| 2 | PaCoRe-8Bstepfun-ai | Text Generation | 284 | ▲1.7%(up) | 48 | 8.2B |
| 3 | bge-m3-mlx-6bitmlx-community | Embeddings | 284 | ▲5.6%(up) | 0 | 568M |
| 4 | aquif-3.5-A4B-Think-GGUFmradermacher | — | 284 | ▲0.6%(up) | 1 | — |
| 5 | SocialBERT-social-GGUFmradermacher | — | 284 | ▲4.3%(up) | 0 | — |
| 6 | K2-V2-InstructIFM | — | 284 | 0% | 46 | — |
| 7 | ai-text-detector-hc3-GGUFmradermacher | Text Classification | 284 | ▲3.2%(up) | 1 | — |
| 8 | Solon-embeddings-base-0.1-GGUFmradermacher | Embeddings | 284 | ▲7.0%(up) | 0 | — |
| 9 | embeddinggemma-300m-qat-q4_0-unquantizedgoogle | Sentence Similarity | 284 | ▲0.6%(up) | 47 | 303M |
| 10 | Ornith-1.5-35B-A3B-BigBang-MTPEryriLabs | Image Text to Text | 284 | — | 13 | 36B |
| 11 | gte-base-i1-GGUFmradermacher | Sentence Similarity | 284 | — | 0 | — |
| 12 | MLX-Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-8bitJackrong | Text Generation | 284 | — | 7 | 4.2B |
| 13 | Decision-2.0-Vega-27Bvllm-sr | Embeddings | 283 | — | 50 | — |
| 14 | L3.3-MS-Nevoria-70bSteelskull | Text Generation | 283 | ▲0.2%(up) | 191 | 70.6B |
| 15 | Toronto-Mans-9B-GGUFmradermacher | — | 283 | — | 0 | — |
| 16 | BAR-2x7B-Baseallenai | Text Generation | 283 | — | 2 | 11.6B |
| 17 | MiniLM_jailbreak-nvidia-GGUFmradermacher | — | 283 | ▲4.0%(up) | 0 | — |
| 18 | HiT-MiniLM-L12-WordNetNoun-GGUFmradermacher | Embeddings | 283 | ▲2.3%(up) | 0 | — |
| 19 | photoMovieRealisticYntec | Text to Image | 283 | ▲0.0%(up) | 21 | 860M |
| 20 | Llama-Chat-Summary-3.2-3B-GGUFprithivMLmods | Text Generation | 283 | ▲1.1%(up) | 5 | — |
| 21 | cupidon-tiny-ro-i1-GGUFmradermacher | Embeddings | 283 | — | 0 | — |
| 22 | paraphrase-MiniLM-L6-v2Xenova | Embeddings | 283 | ▲0.7%(up) | 0 | — |
| 23 | Llama2-70B-ShiningValiantValiantLabs | Text Generation | 283 | ▲0.1%(up) | 75 | 69B |
| 24 | Multilingual-Text-Semantic-Search-Siamese-BERT-V1-GGUFmradermacher | Embeddings | 283 | ▲5.2%(up) | 0 | — |
| 25 | sdft-science-7b-GGUFmradermacher | — | 283 | ▲2.3%(up) | 1 | — |
| 26 | OTel-Embedding-34Mfarbodtavakkoli | Embeddings | 283 | 0% | 0 | 33.4M |
| 27 | CogVideoX-Fun-V1.1-Reward-LoRAsalibaba-pai | Text to Video | 283 | ▲2.7%(up) | 60 | — |
| 28 | Emotion_and_Readability_Analyzer-GGUFmradermacher | — | 282 | — | 0 | — |
| 29 | ijepa_vith16_1kfacebook | Image Feature Extraction | 282 | — | 2 | 632M |
| 30 | kocharelectra-base-discriminatormonologg | — | 282 | ▲0.1%(up) | 0 | — |
| 31 | Qwen3-30B-A3B-YOYO-V2-Claude-4.6-Opus-High-INSTRUCTDavidAU | Text Generation | 282 | — | 12 | 30.5B |
| 32 | Silent-Face-Anti-Spoofing-LiteRTlitert-community | Image Classification | 282 | — | 2 | — |
| 33 | Nemotron-3-Embed-1B-BF16-4bitmlx-community | Sentence Similarity | 282 | — | 0 | 1.1B |
| 34 | NIMA-LiteRTlitert-community | Image Classification | 282 | — | 2 | — |
| 35 | cpm-bee-5bopenbmb | Text Generation | 282 | — | 7 | — |
| 36 | Gemma-4-26B-A4B-Preserving-Abliteration-GGUFmradermacher | — | 282 | 0% | 2 | — |
| 37 | SQL2NL-GGUFmradermacher | — | 282 | — | 0 | — |
| 38 | InternVL2_5-26B-AWQOpenGVLab | Image Text to Text | 282 | ▲0.1%(up) | 10 | — |
| 39 | timeless-diffusionwavymulder | Text to Image | 282 | ▲0.1%(up) | 54 | — |
| 40 | olmOCR-7B-0725-FP8allenai | Image Text to Text | 282 | ▲0.1%(up) | 18 | 8.3B |
| 41 | Unsloth-Phi-4-4bitmlx-community | Text Generation | 282 | ▲0.9%(up) | 7 | 14.7B |
| 42 | HiDream-E1-1HiDream-ai | Any to Any | 282 | ▲0.3%(up) | 217 | 17.1B |
| 43 | octopus-26.0.4-GGUFmradermacher | — | 281 | — | 1 | — |
| 44 | GLM-5mlx-community | Text Generation | 281 | 0% | 4 | 744B |
| 45 | animation2k-fluxnerijs | Text to Image | 281 | ▲0.2%(up) | 57 | — |
| 46 | Llama-3-ELYZA-JP-8B-ojousama-chosen-GGUFmradermacher | — | 281 | — | 1 | — |
| 47 | Llama-SoraEToAtetaTegami-3.1X-70B-GGUFmradermacher | — | 281 | 0% | 0 | — |
| 48 | openai_gpt-oss-120b-GGUF-MXFP4-Experimentalbartowski | Text Generation | 281 | ▲0.6%(up) | 12 | — |
| 49 | Falcon-H1-1.5B-Deep-Instructlitert-community | Text Generation | 281 | — | 0 | — |
| 50 | ruri-v3-pt-30mcl-nagoya | Sentence Similarity | 281 | — | 2 | 36.7M |