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AI · github.com · Thursday, 25 June 2026

Gefen cuts AdamW memory use by 8×, enabling larger LLM fine‑tuning on consumer GPUs

Gefen replaces AdamW with a single‑precision state store, trimming optimizer memory footprint up to eightfold—roughly 6.5 GiB saved per billion parameters—while preserving AdamW‑level convergence. The change is a two‑line code swap, unlocking bigger models or batch sizes on modest hardware.

Read the source: github.com ↗In the 25 June issue →