| 1 | distilbert-NERdslim | Token Classification | 0 | ▲1.8%(up) | 53 | 65.2M |
| 2 | tiny-CohereForCausalLMtrl-internal-testing | Text Generation | 0 | ▲1.5%(up) | 0 | 2M |
| 3 | Qwen3.6-27B-MTP-pi-tune-GGUFbytkim | Text Generation | 0 | ▲14.4%(up) | 127 | — |
| 4 | LLM2Vec-Meta-Llama-3-8B-Instruct-mntpMcGill-NLP | Sentence Similarity | 0 | ▲2.3%(up) | 22 | — |
| 5 | bert-small-pii-detectiongravitee-io | Token Classification | 0 | ▲9.0%(up) | 7 | 28.5M |
| 6 | XORTRON.CriminalComputing.larger-i1-GGUFmradermacher | — | 0 | — | 0 | — |
| 7 | German_Semantic_STS_V2aari1995 | Sentence Similarity | 0 | ▲2.5%(up) | 49 | 336M |
| 8 | nli-MiniLM2-L6-H768cross-encoder | Zero-Shot Classification | 0 | ▲1.5%(up) | 14 | 82.1M |
| 9 | OpenMed-NER-SpeciesDetect-ElectraMed-109MOpenMed | Token Classification | 0 | ▲1.6%(up) | 0 | 109M |
| 10 | skala-1.1microsoft | — | 0 | ▲1.6%(up) | 12 | — |
| 11 | Gemma-4-31B-Loki-Scotoma-V2.0-Swa-4096-i1-GGUFmradermacher | — | 0 | ▲38.1%(up) | 0 | — |
| 12 | Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-i1-GGUFmradermacher | — | 0 | ▲2.9%(up) | 122 | — |
| 13 | gemma-2-2b-it-GGUFMaziyarPanahi | Text Generation | 0 | ▲0.4%(up) | 15 | — |
| 14 | llama-160mJackFram | Text Generation | 0 | ▲0.3%(up) | 37 | 162M |
| 15 | unixcoder-basemicrosoft | Embeddings | 0 | ▲0.4%(up) | 69 | — |
| 16 | embeddinggemma-300m-medicalsentence-transformers | Sentence Similarity | 0 | ▲0.8%(up) | 51 | 303M |
| 17 | ViT-B-16-SigLIPtimm | Zero-Shot Image Classification | 0 | ▲3.0%(up) | 40 | — |
| 18 | OpenMed-NER-ProteinDetect-SuperClinical-141MOpenMed | Token Classification | 0 | ▲1.8%(up) | 0 | 141M |
| 19 | surya_layout3vikp | — | 0 | ▲0.8%(up) | 1 | 38.5M |
| 20 | Minitron-8B-Basenvidia | Text Generation | 0 | ▲0.3%(up) | 71 | — |
| 21 | Omega-Convergence-27B-v1.0-GGUFReadyArt | — | 0 | ▲14.2%(up) | 15 | — |
| 22 | InternVL3-8B-GGUFunsloth | Image Text to Text | 0 | ▲3.1%(up) | 6 | — |
| 23 | agentica-org_DeepCoder-14B-Preview-GGUFbartowski | Text Generation | 0 | ▲0.9%(up) | 65 | — |
| 24 | Karasu-Mixtral-8x22B-v0.1lightblue | Text Generation | 0 | ▲1.0%(up) | 61 | 141B |
| 25 | Qwen3.8-9B-heretic-uncensored-Q5_0-GGUFsaga404 | Text Generation | 0 | ▲1.7%(up) | 4 | — |
| 26 | InternVL3-14BOpenGVLab | Image Text to Text | 0 | ▲0.0%(up) | 79 | 15.1B |
| 27 | parakeetkit-litert-proargmaxinc | Speech Recognition | 0 | ▲2.3%(up) | 0 | — |
| 28 | gemma-3-4b-it-GGUFggml-org | Image Text to Text | 0 | ▲3.5%(up) | 61 | — |
| 29 | Hermes-2-DPO_WestLake-7B-v2-GGUFmradermacher | — | 0 | ▲10.9%(up) | 0 | — |
| 30 | dolphin-2.9.1-mixtral-1x22b-i1-GGUFmradermacher | — | 0 | ▲9.6%(up) | 3 | — |
| 31 | ERNIE-4.5-21B-A3B-PT-GGUFunsloth | Text Generation | 0 | ▲1.9%(up) | 19 | — |
| 32 | Qwen1.5-MoE-A2.7B-Chat-GPTQ-Int4Qwen | Text Generation | 0 | ▲1.7%(up) | 50 | 14.3B |
| 33 | Spaetzle-v68-7b-GGUFmradermacher | — | 0 | — | 1 | — |
| 34 | Qwen3.5-4B-NVFP4cosmicproc | Image Text to Text | 0 | — | 4 | 2.6B |
| 35 | tiny-MistralForCausalLM-0.2trl-internal-testing | Text Generation | 0 | ▲2.0%(up) | 0 | 514K |
| 36 | tiny-random-DeepseekV2ForCausalLMhmellor | Text Generation | 0 | ▲33.7%(up) | 0 | 59.8M |
| 37 | finetuning-sentiment-model-for-c2erteomotun | Text Classification | 0 | ▲0.8%(up) | 0 | — |
| 38 | ettin-reranker-68m-v1cross-encoder | Text Ranking | 0 | ▲5.0%(up) | 5 | 68.1M |
| 39 | stable-code-3b-i1-GGUFmradermacher | — | 0 | ▲6.7%(up) | 0 | — |
| 40 | OpenMed-NER-AnatomyDetect-SuperClinical-434M-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 41 | jina-embeddings-v5-omni-small-retrieval-GGUFjinaai | Embeddings | 0 | ▲6.5%(up) | 7 | — |
| 42 | Qwen3-VL-8B-Thinking-abliterated-v1-GGUFprithivMLmods | Image Text to Text | 0 | ▲5.0%(up) | 1 | — |
| 43 | Qwen3.8-1.0B-A0.6Binference-optimization | Text Generation | 0 | ▲16.0%(up) | 4 | 966M |
| 44 | Calme-7B-Instruct-v0.3-GGUFMaziyarPanahi | Text Generation | 0 | ▲7.5%(up) | 1 | — |
| 45 | umt5xxl-encoder-ggufchatpig | — | 0 | ▲1.1%(up) | 13 | — |
| 46 | OpenMed-PII-BiomedBERT-Base-110M-v1-mlxOpenMed | Token Classification | 0 | — | 0 | — |
| 47 | umt5-xlgoogle | — | 0 | 0% | 20 | — |
| 48 | Qwen2.5-7B-Instruct-Q3_K_M-GGUFTheRains | Text Generation | 0 | ▲4.8%(up) | 0 | — |
| 49 | qwen2.5-7b-ins-v3-GGUFbartowski | Text Generation | 0 | ▲17.5%(up) | 9 | — |
| 50 | Krea-2-LoRA-sunsetblurkrea | Text to Image | 0 | ▲6.0%(up) | 16 | — |