# SenseNova-Loop-9B-Preview



SenseTime



SenseTime's preview multimodal model for long-context and agent work. Instead of adding parameters, it runs a middle block of layers twice with the same weights to get deeper compute, and uses manifold-constrained hyper-connections \(mHC\) to move information between layers. SenseTime says it beats Qwen3.5-27B on WorkBuddy Bench, RaccoonPPT Bench and AutomationBench. It's aimed at coding, office documents and agent tasks, and was trained on contexts of up to about 256K tokens.


## Availability

Open weights under Apache 2.0, downloadable from Hugging Face with code on GitHub. The model card covers running it with Transformers or LightLLM, and MTP speeds up inference. A technical report has not been published yet.
- Released: Oct 30, 2026 20:51 · Beijing Time (UTC+8)
- Review updated: Oct 31, 2026 00:00 Sat · Beijing Time (UTC+8)

## Sources

- Source excerpt: https://x.com/SenseTime_AI/status/2116151078219858346
- Source excerpt: https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview

Canonical entry: https://www.ailyre.com/source/?id=sensetime-sensenova-loop-9b-preview&lang=en