WARP is a C-based inference engine that runs large language models on consumer hardware by keeping model trunks in RAM and streaming experts from disk. It successfully runs DeepSeek-V4.1-Flash at 3.77 tokens per second on 5 GB RAM and Kimi K3 at 0.6 tokens per second on a 64 GB MacBook Pro using mixture-of-experts architecture and optimized disk I/O.