Why most LLM VRAM calculators are wrong on modern models (and an open-source MIT fix)
A new open-source tool called FitLLM has been developed to accurately calculate the Video RAM (VRAM) requirements for running large language models (LLMs). Existing calculators often overestimate VRAM by using a simplified formula that doesn't account for modern model architectures like Gemma 4 and Qwen 3. FitLLM addresses this by reading model configurations directly from Hugging Face and accounting for specific features such as sliding windows and Mixture-of-Experts layers, providing a more precise estimate. AI
IMPACT Provides more accurate VRAM calculations, enabling users to better determine hardware compatibility for running LLMs locally.