[MiniMax Open Source: 5x Speed Knowledge Distillation LoRA Built by Community in 4 Days] According to Deep Tide TechFlow, on August 7, just four days after MiniMax open-sourced its model weights, the community had already developed optimization solutions typically delivered by laboratories. A knowledge distillation LoRA reduced sampling steps significantly from 20 steps to 4-8 steps, achieving a 5x acceleration. MiniMax stated on the X platform that this is precisely why they chose to open source—by sharing model weights, they can inspire community creativity and rapidly iterate engineering-level optimization results. This demonstrates that open-source strategies can effectively accelerate the optimization and iteration cycle of AI models, serving as a model for technical community collaboration.