Run AI Models Locally — Hugging Face + GPU Explained

In this video, I show how to download and run Hugging Face models locally on your own GPU! We’ll explore: How to choose a model based on parameter size ? Why VRAM size matters for model performance ? The role of weights, activations, and KV cache in GPU memory What happens inside your GPU when you call model.to("cuda") ? This is a beginner-friendly deep dive into what’s actually going on under the hood when you load an AI model. 📘 Tools: PyTorch Hugging Face CLI Grafana for GPU monitoring 💬 Comment below what model you want to see next! https://github.com/saujandsre/GPU-VastAI