| 1 | chinese_roberta_L-2_H-128uer | Fill Mask | 0 | ▲0.2%(up) | 12 | — |
| 2 | OpenMed-NER-AnatomyDetect-SuperMedical-355MOpenMed | Token Classification | 0 | ▲2.5%(up) | 0 | 354M |
| 3 | MiniMax-M2.7-MXFP4amd | Text Generation | 0 | ▲0.2%(up) | 1 | 116B |
| 4 | firered-asr2-aed-GGUFcstr | Speech Recognition | 0 | ▲6.5%(up) | 0 | — |
| 5 | instructor-largehkunlp | Sentence Similarity | 0 | ▲0.4%(up) | 524 | — |
| 6 | nsfwv2-zitwolfer45 | Text to Image | 0 | ▲1.8%(up) | 4 | — |
| 7 | GLM-4.5-Air-PS-IQ2_XXS-MTP-GGUFpeasantsmith | — | 0 | — | 1 | — |
| 8 | Qwen3.8-27B-2bit-MLX-TextOnlylukaskremla | Text Generation | 0 | ▲9.1%(up) | 6 | 26.9B |
| 9 | google_medgemma-4b-it-GGUFbartowski | Image Text to Text | 0 | ▲3.1%(up) | 5 | — |
| 10 | sigma-alpaca-3b-ggufsigmanih | Text Generation | 0 | — | 1 | — |
| 11 | T-lite-it-2.1-GGUFt-tech | Text Generation | 0 | ▲13.2%(up) | 9 | — |
| 12 | Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFcvgro | Image Text to Text | 0 | ▲11.3%(up) | 0 | — |
| 13 | Ternary-Bonsai-4B-ggufprism-ml | Text Generation | 0 | ▲6.2%(up) | 34 | — |
| 14 | MAmmoTH2-8x7B-Plus-i1-GGUFmradermacher | — | 0 | ▲8.7%(up) | 0 | — |
| 15 | ruri-reranker-smallcl-nagoya | Text Ranking | 0 | ▲7.3%(up) | 2 | 68.7M |
| 16 | Wan2.2-TI2V-5B-Turbo-GGUFKiijoku | Image To Video | 0 | ▲10.4%(up) | 2 | — |
| 17 | davit_base.msft_in1ktimm | Image Classification | 0 | ▲2.1%(up) | 8 | 88M |
| 18 | CobrIX-1.0-Coder-Full-72B-A18BCobrIX | Text Generation | 0 | ▲1.4%(up) | 1 | 71.8B |
| 19 | Qwen2-72BQwen | Text Generation | 0 | ▲0.8%(up) | 199 | 72.7B |
| 20 | Qwen3.8-27B-abliteratedhotdogs | Image Text to Text | 0 | ▲8.3%(up) | 3 | 27.8B |
| 21 | ci-random-vit-large-patch16-224hyper-accel | — | 0 | ▲10.3%(up) | 0 | 27.2M |
| 22 | Phi-4-reasoning-plus-GGUFlmstudio-community | Text Generation | 0 | ▲1.2%(up) | 6 | — |
| 23 | DeepSeek-R1-0528-Qwen3-8B-NPU2Atomic-Germ | Text Generation | 0 | — | 0 | — |
| 24 | medicine-LLM-GGUFTheBloke | Text Generation | 0 | ▲1.2%(up) | 24 | — |
| 25 | Omega-Convergence-27B-v1.0ReadyArt | — | 0 | — | 15 | 27.8B |
| 26 | Fin-R1SUFE-AIFLM-Lab | — | 0 | ▲0.4%(up) | 230 | 7.6B |
| 27 | kam-qwen3.6-35b-semigod-GGUFmradermacher | — | 0 | — | 0 | — |
| 28 | Llama-3-8B-LexiFun-Uncensored-V1-GGUFOrenguteng | — | 0 | ▲0.1%(up) | 48 | — |
| 29 | pcorrigan-qwen-image-2512furaidosu | Text to Image | 0 | — | 1 | — |
| 30 | ReflectionCoder-DS-6.7B-i1-GGUFmradermacher | — | 0 | ▲7.6%(up) | 1 | — |
| 31 | openvla-7b-finetuned-libero-objectopenvla | Image Text to Text | 0 | ▲0.6%(up) | 2 | 7.5B |
| 32 | Qwen2.5-VL-72B-Instruct-GGUFlmstudio-community | Image Text to Text | 0 | ▲1.9%(up) | 2 | — |
| 33 | bros-base-uncasedjinho8345 | Embeddings | 0 | ▲4.0%(up) | 1 | — |
| 34 | clip-text-base-GGUFcstr | Embeddings | 0 | ▲2.1%(up) | 0 | — |
| 35 | PartPackernvidia | — | 0 | — | 57 | — |
| 36 | Gemma2-Gutenberg-Doppel-9B-GGUFbartowski | Text Generation | 0 | ▲7.2%(up) | 4 | — |
| 37 | Flux2-Klein-9B-True-V2Leon1000 | Text to Image | 0 | ▲22.4%(up) | 1 | — |
| 38 | seamless-m4t-v2-large-azerbaijanitahmaz | — | 0 | ▲0.9%(up) | 0 | 1.5B |
| 39 | YuE-s1-7B-anneal-en-iclm-a-p | Text Generation | 0 | ▲0.3%(up) | 56 | 6.2B |
| 40 | unidepth-v2old-vitl14lpiccinelli | — | 0 | ▲1.6%(up) | 0 | 363M |
| 41 | parakeet-unified-en-0.6b-ggufhandy-computer | Speech Recognition | 0 | ▲9.0%(up) | 7 | — |
| 42 | Replete-LLM-V2.5-Qwen-32b-GGUFbartowski | Text Generation | 0 | ▲2.3%(up) | 26 | — |
| 43 | wav2vec2-lg-xlsr-en-speech-emotion-recognitionehcalabres | Audio Classification | 0 | ▲0.2%(up) | 253 | 316M |
| 44 | GPT-NeoX-20B-ErebusKoboldAI | Text Generation | 0 | ▲0.0%(up) | 88 | — |
| 45 | Llama-3.2-11B-Vision-Instruct-OLLAMAEnlistedGhost | Image Text to Text | 0 | ▲1.4%(up) | 2 | — |
| 46 | malicious-url-detectionkmack | Text Classification | 0 | ▲0.1%(up) | 3 | 67M |
| 47 | fingpt-sentiment_llama2-13b_loraFinGPT | — | 0 | — | 50 | — |
| 48 | OpenMed-PII-Hindi-mSuperClinical-Large-279M-v1-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 49 | Muse-Glimmer-30B-abliterix-i1-GGUFmradermacher | — | 0 | — | 0 | — |
| 50 | japanese-stablelm-2-instruct-1_6b-ggufmmnga | — | 0 | ▲3.0%(up) | 3 | — |