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LLM Optimizer Benchmark

LLM Optimizer Benchmark

Benchmark for comparing optimizers for LLM pretraining on Llama and MoE models.

Benchmarking suite for comparing optimizers (Adam, SGD, Muon, Scion, etc.) on LLM pretraining using Llama and MoE architectures. Supports configurable training parameters, WandB logging, multi-GPU and CPU setups, and guidelines for extending to new models or datasets.

BenchmarkLarge Language ModelOptimization
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Machine Learning and Optimization Laboratory

Machine Learning and Optimization Laboratory
Martin Jaggi

Prof. Martin Jaggi

The Machine Learning and Optimization Laboratory is interested in machine learning, optimization algorithms and text understanding, as well as several application domains.

This page was last edited on 2026-03-03.