Large Language Models, Artificial Intelligence, Data Science, Machine Learning, Editors Pick.
there’s one more issue to address. When the algorithm scales up to very large models, numerical inaccuracies can become a problem. Specifically, repeated applications of a certain operation can accumulate numerical errors. To tackle this, GPTQ uses a Cholesky decomposition, a numerically stable