Reducing the model parameter size?

Explain Like I'm Normal

A community discussion explores whether massive 2T+ parameter models from China can be downsized by third parties. While techniques like distillation and pruning exist, they usually require significant compute or the original training data to maintain performance. For most users, quantization remains the only practical way to squeeze these giants onto consumer hardware.