SenseTime Open-Sources the SenseNova Loop-9B-Preview Model
SenseTime has open-sourced SenseNova Loop-9B-Preview, a 9B Looped Transformer that improves information flow and reasoning capabilities through parameter-sharing loops and mHC (Manifold-Constrained Hyper-Connections). The company claims it achieves 27B-level performance on complex tasks, surpassing Qwen3.5-27B on WorkBuddy Bench, RaccoonPPT Bench, and AutomationBench; mHC improves the GPQA Diamond score by 4.42 points and TeamBench by 13.34 points. The model is now available on Hugging Face and GitHub, with plans to later expand to larger models and adaptive fast/slow thinking.
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A 9B-parameter model achieves 27B-level performance through looped parameter sharing and mHC, with benchmark comparisons against Qwen3.5-27B, showing how small models can trade computational depth for performance.
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𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗦𝗲𝗻𝘀𝗲𝗡𝗼𝘃𝗮 𝗟𝗼𝗼𝗽-𝟵𝗕-𝗣𝗿𝗲𝘃𝗶𝗲𝘄, 𝗻𝗼𝘄 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲!
𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗰𝗼𝗺𝗽𝘂𝘁𝗲 𝗱𝗲𝗽𝘁𝗵, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗺𝗼𝗱𝗲𝗹 𝘀𝗶𝘇𝗲: our 9B Looped Transformer uses parameter-shared loops + mHC (Manifold-Constrained Hyper-Connections) to improve information flow and reasoning.
📊 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: 🔹Delivers 𝟮𝟳𝗕-𝗰𝗹𝗮𝘀𝘀 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 on complex tasks, outperforming Qwen3.5-27B on 𝗪𝗼𝗿𝗸𝗕𝘂𝗱𝗱𝘆 𝗕𝗲𝗻𝗰𝗵, 𝗥𝗮𝗰𝗰𝗼𝗼𝗻𝗣𝗣𝗧 𝗕𝗲𝗻𝗰𝗵 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻𝗕𝗲𝗻𝗰𝗵 🔹𝗺𝗛𝗖 𝗯𝗼𝗼𝘀𝘁𝘀 𝘀𝗰𝗼𝗿𝗲𝘀 by 𝟰.𝟰𝟮 𝗽𝗼𝗶𝗻𝘁𝘀 on GPQA Diamond and 𝟭𝟯.𝟯𝟰 on TeamBench 🔹Strong across 𝗰𝗼𝗱𝗶𝗻𝗴, 𝗼𝗳𝗳𝗶𝗰𝗲 & 𝗮𝗴𝗲𝗻𝘁 𝘁𝗮𝘀𝗸𝘀, with 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲, 𝗮𝗻𝗶𝗺𝗮𝘁𝗲𝗱 𝗛𝗧𝗠𝗟 𝗱𝗲𝗺𝗼𝘀
🔬 𝗡𝗲𝘅𝘁: Scaling to larger models, adaptive fast/slow thinking & more efficient reasoning.
🤗 Model: https://t.co/O5CDPcpVyV 💻 GitHub: https://t.co/2ptlScqToV 👾Discord: https://t.co/8MkRBA1ac5