Compress any LLM 3x in one click,near-lossless,in under 50 MB RAM

A new compression technique achieves 3.31x compression of large language models like DeepSeek-R1 with minimal quality loss, enabling them to run on consumer laptops with 4GB VRAM at reasonable speeds (82.53 tokens/second). The breakthrough addresses the fundamental "memory wall" problem in AI inference, where the slow data transfer between GPU memory and processors becomes the critical bottleneck rather than computational power, severely limiting token generation speed on edge devices.