Taco: cross-platform LLM compression that doesn't break when you change your GPU or CPU. [P]

Explain Like I'm Normal

Taco solves a major headache in LLM deployment: floating-point drift across different hardware backends. By using integer-only inference and a clever float-to-int converter, it ensures that a model compressed on one device decodes identically on another. This effectively eliminates the '0% accuracy' bug often seen when moving models between CUDA, Metal, and Vulkan.