FreeToken is an open-source inference engine that runs large Mixture-of-Experts language models (290B+ parameters) locally on consumer hardware—gaming PCs and laptops with RTX GPUs—at interactive speeds. The core trick is bandwidth-adaptive CPU–GPU co-execution and semantic-aware caching that avoids recomputing context when agents make tool calls or edit state. You can install it via pip or download a desktop GUI, then serve models like DeepSeek-V4-Flash with OpenAI-compatible APIs. The source names concrete quantization formats (MXFP4, NVFP8) and specific GPU support (RTX 30/40/50), suggests it's production-focused. Paper is cited but appears future-dated (arXiv 2608.16157, year 2026), which is unusual—worth checking if that's a typo. The claim is datacenter-class inference on edge hardware; the mechanism relies on efficient scheduling and memory reuse rather than model compression alone.