First I just want to say, specifically for Post Training Quantization, I absolutely agree with you. As for why 4 bit is the limit, the ParetoQ paper has some interesting theories: https://arxiv.org/abs/2502.02631 That…
Thought this was going to be on the original Little Bit paper, always nice to find out about a surprise sequel!
One aspect of how current training and continual learning are somewhat at odds is that the memory required to train a model is often times 2-3x the memory required to just run it (probably not as bad for PEFT, not…
First I just want to say, specifically for Post Training Quantization, I absolutely agree with you. As for why 4 bit is the limit, the ParetoQ paper has some interesting theories: https://arxiv.org/abs/2502.02631 That…
Thought this was going to be on the original Little Bit paper, always nice to find out about a surprise sequel!
One aspect of how current training and continual learning are somewhat at odds is that the memory required to train a model is often times 2-3x the memory required to just run it (probably not as bad for PEFT, not…