A Minimal Recipe for Training VLMs Under Compute Constraints
The Problem Nobody Likes to Admit Most Vision-Language Models assume one thing: You can always add more GPUs. But many of us can’t. When compute is the hard constraint, the question changes from “How do we scale?” to: “What actually still works?” Based on building SiQ-VL, here is a minimal, battle-tested recipe for training VLMs when GPUs are scarce. The Minimal Recipe (TL;DR) If you remember nothing else, remember this: ...