GPU Memory Calculator for LLM with Transformer Architecture
Estimate memory requirements for training and fine-tuning large language models
Model Memory Analysis
Analyze memory requirements for transformer-based language models
About This Calculator
This calculator helps estimate GPU memory requirements for transformer-based language models during training, inference, and fine-tuning with Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA.
Use the "Analyze Model" tab to estimate basic memory requirements for a model or the "PEFT Analysis" tab to calculate memory needs when fine-tuning with LoRA adapters. The calculator accounts for model parameters, activation memory, and optimization techniques.