Stop Running Out of VRAM! The Beginner's Guide to GGUF Quantization

Tired of massive Safetensor files eating all your VRAM? In this guide, we're demystifying GGUF and turning you into a model-shrinking master. We'll take a hefty 16GB model and compress it down to a lean 4GB, all without needing WSL or complex setups on Windows.
You'll go from asking "What is GGUF?" to whispering "llama.cpp" in your sleep. I'll walk you through every step, from understanding why GGUF is the "MP3 file" for AI models to cloning the necessary repos and running the Python conversion script yourself. No more waiting for others to quantize the models you want to try!
Whether you're fine-tuning your own models or just want to run the latest "unhinged" AI on your consumer-level GPU, this video is for you. (Sorry, Pentium users, may the force be with you).

Links:
llama.cpp: https://github.com/ggml-org/llama.cpp
Tiny Granite HF: https://huggingface.co/ibm-granite/granite-4.0-h-tiny
short in Rocks voice: https://youtube.com/shorts/0tlvmi74GP0?feature=share

Видео Stop Running Out of VRAM! The Beginner's Guide to GGUF Quantization канала Quantext