quantize.py vs convert_checkpoint.py

[DreamGenX]

I've noticed that the new convert_checkpoint.py scripts (such as the one for llama) have some quantization options built in, though some, like fp8, are missing. The readme for llama suggests to use quantize.py for fp8 post-training quantization instead.

Is there any reason these two are split?