Huge fan of your gpt2-simple library, which I used to train a satirical news generator in a Colab notebook: https://colab.research.google.com/drive/1buF7Tju3DkZeL-EV4Ft...

> Generates text faster than gpt-2-simple and with better memory efficiency! (even from the 1.5B GPT-2 model!)

This is exciting news. One of very few drawbacks of gpt2-simple is the inability to fine-tune a model of more than ~355M parameters. Do these memory management improvements make it possible to fine-tune a larger one?