Python framework for recursive, task-level and harness-level optimization of agent harnesses around fixed LLM weights, tested on professional benchmarks.
Run 35B MoE models in ~2.5 GB of RAM. Weights stream from SSD; a trained router predicts loads a step ahead. Mac, iPhone, Android, Windows supported
Official Hi3D v1.0: high-resolution 3D geometry refinement built on Sparc3D. Inference code, model weights, and documentation.
Offline gym log for Android. No account, no ads, no internet.
Running a big model on a small laptop