π Our Goal
To make models run on actual consumer hardware at speeds and intelligence that feel closer to the cloud.
π What We Believe
We believe real local AI should run on hardware people can actually own or already own, not just on so-called consumer hardware that is too expensive or out of reach for most. GPUs like the RTX 3090, 4090, and 5090, along with unified systems such as NVIDIA DGX Spark, AMD AI Halo, and high-end Mac Studios and Mac minis, are powerful, but they are far from what most people, especially average enthusiasts and students, have sitting on their desks.
π What We Do
We take existing models and prune, merge, finetune and quantize them to compress while retaining as much intelligence as possible for limited hardware. The objective is not to make a model small enough just for the sake of fitting. It is to make it small in a controlled, tested, efficient way that doesn't lobotomize the model's capabilities for local agentic tasks. That's why we believe Runnable β Usable.
π Open Research
All our research, techniques, methods, experiments, and datasets will be open sourced. We believe useful AI should be built for the community, by the community.