🚀 Can I Run It? Stop the "Out of Memory" Guessing Game for Local LLMs

We’ve all been there. You see a trending new model on Hugging Face, you git clone the repo, wait 20 minutes for the weights to download, run the inference script, and then... torch.cuda.OutOfMemoryError: CUDA out of memory. 😭 Calculating whether a model will fit on your GPU isn't as simple as looking at the file size. You have to factor in quantization, context window overhead, and system headroom. To make life easier for myself and other devs, I built a free utility to do the math for you. 🛠️ The Tool: LLM Hardware Compatibility Checker I wanted something lightweight and fast. No sign-ups, no "enter your email to see results"—just a straightforward calculator to see if your rig can handle a specific model. Why use this? When you’re running models locally (using Ollama, LM Studio, or vLLM), VRAM is your most precious resource. This tool helps you figure out: Quantization Strategy: Can you run the full FP16 model, or do you need to drop to 4-bit (GGUF/EXL2) to make it fit? _ _Hardware P