zero3

InternEvo is an open-sourced lightweight training framework aims to support model pre-training without the need for extensive dependencies.

Core-1: A High-Performance Distributed AGI Framework built for Trillion-Parameter Scalability, featuring Unified Cognitive Memory, MCTS Planning, and Continuous Meta-Learning in C++.

Boot the Radxa ZERO 3E/3W on Debian that's as open-source as possible. arm64 SD card image, built from public sources with mainline U-Boot + TF-A.

Given a fixed memory budget, which post-training recipe should you pick? Parameterisation x alignment x quantisation, measured under a fixed base/data/eval at two model scales.