16:05
2026-09-30
dev.to
large-language-models
REAL-Q: How Dynamic Gradient Descent Fixes the Core Flaw in LLM Quantization
A new paper, REAL-Q, proposes a dynamic gradient descent approach to post-training quantization that the authors say fixes structural flaws in GPTQ, including upstream and downstream misalignments and…