One surprising insight is that running a 70B model on consumer hardware often fails not due to hardware limitations, but because of inefficient memory management. In practice, we find that optimizing tokenization and batching can significantly reduce the memory footprint, making it feasible even on mid-range GPUs. This approach not only boosts performance but also aligns well with real-world constraints developers face. - Ali Muwwakkil (ali-muwwakkil on LinkedIn)