sensenova/SenseNova-Loop-9B-Preview
image-text-to-text model by sensenova
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Model card & documentation
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English | 简体中文 SenseNova-Loop-9B-Preview is a multimodal language model developed for long-context and agentic workflows. It accepts text and images and generates text for applications that combine document understanding, coding, and interaction with external tools. The model combines a looped decoder with two-stream manifold-constrained hyper-connections (mHC). A contiguous block of decoder layers is executed twice with shared weights, while learned mappings manage information flow between two residual streams in the looped section. Together, these components provide a deeper execution path without duplicating the repeated block's parameters. Documented training recipes combine long sequences, multimodal inputs, and supervised task trajectories, with a maximum training sequence length of 262,144 tokens. For the best model performance, we recommend using our documented deployment environment and configuration parameters. SenseNova-Loop-9B-Preview builds on a 32-layer multimodal decoder that combines shared-weight looped computation, hybrid attention, and two-stream manifold-constrained hyper-connections (mHC). The following sections describe how these components extend the…
Read the full model card ↗ · Preview checked 2026-10-31T09:43:24.180Z
Inside the original model card — Document outline
- SenseNova-Loop-9B-Preview
- 📣 News
- 🚀 SenseNova-Loop-9B-Preview
- 🎬 Showcase (Created by Raccoon Work)
- Motion Design
- PPT Design
- Data Analysis
- Overview
- Model highlights
- 📊 Key Benchmarks
- Model specifications
- Model architecture
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
sensenova/SenseNova-Loop-9B-Preview is a image-text-to-text model repository published by sensenova on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 566
- Cumulative likes
- 113
- Hugging Face trending score
- 113
- Reported safetensors parameters
- 9,656,250,480
- Architecture
- SenseNovaLoopForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-28T15:34:40.000Z
- Last modified
- 2026-10-30T12:42:16.000Z
Compatibility and lineage
Reported languages: en, zh
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.