# SenseNova-Loop-9B-Preview Multimodal Model Released

- URL: https://spark.tlec.top/en/news/sensenova-loop-9b-preview-40479274/
- Date: 2026-10-30
- category: model
- source: https://www.reddit.com/r/LocalLLaMA/comments/1xje5oo/sensenovasensenovaloop9bpreview_hugging_face
- sourceName: r/LocalLLaMA
- tags: multimodal, open-weight, long-context, agent

> SenseNova-Loop-9B-Preview is a multimodal language model designed for long-context and agentic workflows, featuring a shared looped decoder and two-stream manifold-constrained hyper-connections (mHC).

SenseNova-Loop-9B-Preview is a multimodal language model developed for long-context and agentic workflows, accepting text and images while supporting up to 256K token context lengths.

**Model Highlights**:
- **Shared looped block**: 24 decoder layers are applied twice in sequence, producing 56 decoder-layer executions from 32 distinct layers.
- **Two-stream mHC**: Learned mappings route and combine information across two residual streams in the looped section.
- **Hybrid attention**: The decoder interleaves linear and full attention in a repeating four-layer pattern.
- **Long-context multimodal training**: Recipes include text, images, code, and tool trajectories at sequence lengths up to 256K tokens.

[Hugging Face Source](https://www.reddit.com/r/LocalLLaMA/comments/1xje5oo/sensenovasensenovaloop9bpreview_hugging_face)