| 1 | Qwen3-1.7B-reas-int-065-3-epochs-enferrazzipietro | Text Generation | 304 | — | 0 | 1.7B |
| 2 | ppt-wc2-zipf-newlex-eng-100mb_seed3407fpadovani | Text Generation | 304 | — | 0 | 86.5M |
| 3 | progen2-xlargehugohrban | Text Generation | 304 | ▲0.5%(up) | 2 | 6.4B |
| 4 | T5Gemma-TTS-2b-2bAratako | Text to Speech | 304 | ▲0.4%(up) | 121 | 5.3B |
| 5 | wav2vec2-FR-2.6K-baseLeBenchmark | Embeddings | 303 | — | 0 | 94.4M |
| 6 | pseudo-flex-v2RareConcepts | Text to Image | 303 | ▲0.2%(up) | 1 | 866M |
| 7 | AceStep-5Hz-LM-1.7B-GGUFmradermacher | — | 303 | ▲2.1%(up) | 1 | — |
| 8 | MiniMax-M2.7-JANG_3LJANGQ-AI | Text Generation | 303 | — | 15 | 116B |
| 9 | ppt-art-lang-newlexicon-nld-baseline-100mb_seed10fpadovani | Text Generation | 303 | — | 0 | 86.5M |
| 10 | LFM2-HC-SMoE-ngroups24Dohyeon1 | Text Generation | 303 | — | 0 | 8.3B |
| 11 | Celestial-Order-24B-V3Sorihon | Text Generation | 303 | — | 0 | 23.6B |
| 12 | SeC-4BOpenIXCLab | Mask Generation | 303 | — | 38 | 3.9B |
| 13 | Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFSummonGovernance | — | 303 | ▲0.4%(up) | 3 | — |
| 14 | YvyrAI-100m-NanoManuel12435 | Text Generation | 303 | — | 3 | 106M |
| 15 | bigcode.starcoderbase-7b-GGUFDevQuasar-9 | Text Generation | 303 | ▲1.2%(up) | 0 | — |
| 16 | Qwen-Image-Edit-2511_cleareasygoing0114 | Text to Image | 303 | ▲1.2%(up) | 5 | — |
| 17 | dynamic_alibi_2_4_256_babylm_10m_seed44_epoch6Lanni-ni | Text Generation | 303 | — | 0 | 27.4M |
| 18 | Ling-3.0-flash-MLX-8bitVontra | Text Generation | 303 | — | 0 | 124B |
| 19 | gemma-2-2b-it-sleeper-multi-token-fixed-string-poison10pctimtixz | Text Generation | 303 | — | 0 | 2.6B |
| 20 | Qwythos-9B-v2-GGUFluxuansang | Image Text to Text | 303 | — | 0 | — |
| 21 | MyAwesomeModel-TestRepoRSIbench | Embeddings | 303 | — | 0 | — |
| 22 | Uncensored_Qwen2.5_Coder_3BICEPVP8977 | Text Generation | 303 | ▲5.1%(up) | 3 | — |
| 23 | roberta-base-customer-priority-type-generator-28kTalkTix | Text Classification | 303 | ▲1.0%(up) | 0 | — |
| 24 | paraphrase-MiniLM-L6-v2-i1-GGUFmradermacher | Embeddings | 303 | ▲2.0%(up) | 0 | — |
| 25 | tinyvlaAlexWortega | Robotics | 303 | — | 1 | 643M |
| 26 | LFM2.5-350M-Thinking-0005KoarAI | Text Generation | 303 | — | 1 | 353M |
| 27 | multiple_modifiers_gptq_awq_disk-e2enm-testing | — | 303 | ▲5.2%(up) | 0 | 918M |
| 28 | Zurich-1.5B-GCv2-1m-GGUFmradermacher | — | 303 | — | 2 | — |
| 29 | Dolphin-Mistral-24B-Venice-EditionTMA-1 | Text Generation | 303 | — | 0 | 24B |
| 30 | fantasy_girlspeter198477 | Text to Image | 303 | — | 1 | — |
| 31 | Llama-3.1-8B-Instruct-Abliterated-Truthful-ConciseApolloRaines | Text Generation | 303 | — | 0 | 8B |
| 32 | GLM-5.2-MXFP4-MOE-Q8_0-GGUFMaliAir | — | 303 | ▲4.1%(up) | 3 | — |
| 33 | swa-latn-100mb-after-ppt-Dp-100mb-ckpt500_seed455fpadovani | Text Generation | 303 | ▲4.0%(up) | 0 | 125M |
| 34 | roberta-small-japanese-char-luw-uposKoichiYasuoka | Token Classification | 303 | 0% | 1 | — |
| 35 | qwen15b-code-merged-v2NIEWEN | Text Generation | 303 | — | 0 | 1.5B |
| 36 | ELECTRA-Moral-Emotion-ENGChaeyoon | Text Classification | 303 | — | 0 | 109M |
| 37 | qwen36-recovery-v4minjaechoi | Text Generation | 302 | — | 0 | 35.1B |
| 38 | wav2vec2-xlsr-530-serbian-colabdnikolic | Speech Recognition | 302 | ▲0.1%(up) | 0 | — |
| 39 | roberta-base-service-type-generator-28kTalkTix | Text Classification | 302 | ▲1.0%(up) | 0 | — |
| 40 | NCP_ArchPreview_dolma3_8.9B_Stage1_Step200000ArchSpace-Collection | Text Generation | 302 | — | 0 | 8.9B |
| 41 | MyAwesomeModel-TestReposafafaf67 | Embeddings | 302 | — | 0 | — |
| 42 | fantasy_gpeter198477 | Text to Image | 302 | — | 3 | — |
| 43 | DeepSeek-v4-FableChunjiang-Intelligence | Text Generation | 302 | ▲4.7%(up) | 165 | 149B |
| 44 | Qwen3.6-35B-A3B-NVFP4-Fast-GGUFcatlilface | Image Text to Text | 302 | ▲0.4%(up) | 6 | — |
| 45 | en_whisper_nonstandard_mediumVeronica1NW | Speech Recognition | 302 | — | 0 | 764M |
| 46 | Qwen2.5-14B-Instruct-1MSAIFIINDUSTRIES | Text Generation | 302 | — | 0 | 14.8B |
| 47 | Qwen3.8-Flash-Next-GGUFargyelan | — | 302 | — | 0 | — |
| 48 | chinese-lert-smallhfl | Fill Mask | 302 | ▲0.0%(up) | 15 | — |
| 49 | slimder-qwen38-ream288-depth32-agentic-ngram50-compactsjakek | Text Generation | 302 | — | 0 | 74.9B |
| 50 | weathernext2-minikashif | Other | 302 | — | 0 | 138M |