Running large models like a 70B parameter one locally is often less about raw power and more about optimizing memory and data flow. What we've seen is that efficient use of quantization and model sharding can drastically reduce the resource load while maintaining performance. In practice, many developers overlook the impact of data pipeline efficiency -streamlining this can be as critical as the model's architecture itself. - Ali Muwwakkil (ali-muwwakkil on LinkedIn)