I understand the obsession with low bit quantization, but it is empirically quite evident that it is not possible to compress models to less than 4 bit per weight without severe loss of capabilities².
It may be nice as an experiment, but it is obviously a very inefficient route for model training: spending all the flops on a saturated model only to prune its capabilties.
²As to why, I have seen few explanations. But the empirical evidence is there.
It may be nice as an experiment, but it is obviously a very inefficient route for model training: spending all the flops on a saturated model only to prune its capabilties.
²As to why, I have seen few explanations. But the empirical evidence is there.