AI Release 🚀 14 gigabytes — that's how much a 7B model weighs in FP16. In 4-bit quantization — only 4. This is the difference you need to count

AI Release 🚀 14 gigabytes — that's how much a 7B model weighs in FP16. In 4-bit quantization — only 4. This is the difference you need to count before buying a graphics card, rather than hoping for a reserve for the future. Free lessons will show how to estimate VRAM for a specific LLM: what quantization gives, how Ollama, llama.cpp and vLLM differ, and why the same model can either fit into 8 gigabytes or require 24. This is