EDUCATION & TRAINING
FP32, INT4, and Everything Between - What I Learned About Precision on Mobile
Dev.to Machine Learning
About This Tutorial
I was familiar with precision formats from my embedded systems work, but seeing labels like "INT4," "FP16," and "GPTQ" on HuggingFace model downloads hit differently. In that context, they are not just precision specs - they determine whether your model fits on a phone, how fast it runs, and how much accuracy you trade away. Here is the intuition that clicked once I started deploying to mobile. I started by understanding what gets compressed A neural network is a massive collection of numbers called weights.