Llama — Field Evidence

Super-Tuning: From Activation-Aware Pruning to Sparse Fine-Tuning — Large language models (LLMs) remain expensive to fine-tune because full-parameter updates require substantial memory, compute, and per-task storage. We study whether saliency signals originally developed for prun