A lightweight, open vision-language model built to understand and summarize home security camera events.
Install Ollama, then paste this in terminal. See documentation for more information.
Glimpse-v1 is a compact 4 billion parameter model, built to run efficiently with limited memory.
Model Size
Parameters
Glimpse-v1 is a compact 4 billion parameter model, built on Gemma3 architecture.
Improvement in accuracy over base model.
Glimpse-v1 shows a significant improvement in accuracy over the base model when summarizing home security camera events.
Trained on over
Samples
Glimpse-v1 was trained on a diverse dataset of real-world home security camera events for robust performance across different scenarios.
Understands Events around your Home.
Glimpse-v1 is trained to understand and summarize different scenarios around your home.
Private, local AI for your Home.
We believe privacy is fundamental to smart
homes.
By building specialized, compact models that can run locally on hardware with
limited memory and compute resources, we aim to make local AI accessible to everyone.
By running Glimpse-v1 locally, your data stays private and secure in your home, while saving
money on API costs.
You can now report wrong summaries or
suggest improvements through the LLM Vision Timeline.
You can also support the development of Glimpse and future models by buying me coffee!
Developers Welcome!
Glimpse is an open-weight model available for anyone to use and fine-tune. We encourage developers to experiment with it and adapt it to their specific needs. Whether you want to improve its performance on specific scenarios, add new capabilities or integrate it with other systems, the possibilities are endless.
Install Ollama, then paste this in terminal. See documentation for more information.
Get Started