SenseNova-Loop-9B-Preview Model Released on Hugging Face
SenseSenseNova-Loop-9B-Preview has been released on Hugging Face as a new open model for the local LLM community. This preview model introduces a 9 billion parameter scale tailored for experimentation. This release gives developers and researchers in the local LLM community access to a new 9B model architecture to test and experiment with. It expands the available options for running and evaluating open-weight models locally. The model can be loaded directly using the transformers library with the AutoModelForCausalLM class. It features an autoregressive multimodal decoder architecture with a looped block utilizing a two-stream mHC.
## BACKGROUND
Hugging Face is a popular platform that hosts machine learning models, datasets, and web applications, serving as a central hub for the open-source AI community. Local LLMs refer to large language models that users can download and run on their own hardware rather than relying on cloud-based APIs.