Introducing SenseNova-Loop-9B-Preview: a 9B open-weight multimodal model with 256K context for document understanding, coding, and agent workflows. 📜 Apache-2.0 License. 🤖 • Leads six of eight tasks in the team’s reported comparison: Scores 71.38 on BIRD-Dev, 66.89 on WorkBuddy Bench, and 58.87 on AIDABench. • A deeper path without duplicate weights: Its 24-layer middle block runs twice with shared weights, producing 56 layer executions from 32 distinct decoder layers. • Trained for long, multimodal work: Training recipes combine text, images, code, and tool-use trajectories at sequence lengths up to 262K tokens. • Acceleration and serving paths are available: MTP is supported now, with documented Transformers, LightLLM, SGLang, and vLLM deployment paths. Note: This is a Preview release; the technical report is still forthcoming. Examples created with Raccoon Work 👇