OpenSenseNova/SenseNova-Loop
Model
Can I trust it?
Worth a closer look before you use it.
Warnings Check
Very new: it was created 6 days ago. Wait a little before installing it.
Stars from real accounts No data
We haven't checked its stars for fakes yet.
Active OK
Last change yesterday.
Licence OK
Apache-2.0: you can use it for free, also in a commercial product. Keep the licence notice.
Quick checks from public data. They help, but they are no guarantee.
What it is
A 9B-parameter multimodal language model that accepts text and images and generates text, designed for long-context and agentic workflows. It uses a looped decoder block with two-stream manifold-constrained hyper-connections and hybrid attention, with a training context up to…
Who it's for
Developers and researchers running multimodal LLMs for long-context document understanding, coding, and tool-use workflows
How to use it
Install
python -m pip install "transformers==5.18.0" accelerate safetensorsFrom its README. Check it there before running it.
Ask your AI to set it up
Paste this into Claude, ChatGPT or your coding assistant.
Help me install and set up OpenSenseNova/SenseNova-Loop in my project. Follow its README: https://github.com/OpenSenseNova/SenseNova-Loop. Explain each step and check it is safe before running anything.
Star curve
Get alerts for repos like this
We'll email you when something in Models & inference starts rising. Free, once a week, only what matches.
What arrives: one email on Mondays with the repos that match, never more. See last week's. Privacy
For maintainers
Add this badge to your README. It shows the repo's place on the radar, updates every hour and links back to this page.
[](https://repoalerts.com/repo/OpenSenseNova/SenseNova-Loop?ref=badge)Similar repos
- OpenSenseNova/SenseNova-6.8-Code2Video
An open model, fine-tuned from Qwen3.8-27B with a 512K context, that builds and renders short videos by generating executable code. The repository provides model weights, deployment notes, a code-vide
- OpenSenseNova/SenseNova-RoboRSI
A framework for building, evaluating and iteratively improving embodied agents on a shared runtime. It connects models, prompts, skills and robot tools, runs benchmark environments with native scoring
- uclanlp/OpenVLHarness
A training-free harness that gives multimodal LLMs visual tools (grounding, OCR, depth, camera trajectory, zoom, web and image search, webpage visits, and a Python coding agent) with a memory that kee
- togethercomputer/HybridAgent
Research code for HybridAgent, an LLM agent that alternates between latent reasoning and text-based actions in one generation. It maps last-layer hidden states back to input embeddings via HybridLink,
- HazyResearch/ncm
Research code for Next-Concept Modeling, a two-stage framework for parallel text generation. A multiscale residual VQ tokenizer maps sequences to hierarchical discrete codes, and a transformer predict
- BaruqueRodrigues/llm-legislativo
Builds a large corpus of Brazilian federal legislative documents from the Chamber of Deputies and Senate archives, with deduplication and family-based train/test splits. Trains a causal Transformer la