I’m interested in automatically generating lengthy, coherent stories of 10,000+ words from a single prompt using an open source local large language model (LLM) on low-spec hardware like a laptop without GPU and with i5-8250U, 16GB DDR4-2400MHz. I came across the “Awesome-Story-Generation” repository which lists relevant papers describing promising methods like “Re3: Generating Longer Stories With Recursive Reprompting and Revision”, announced in this Twitter thread from October 2022 and “DOC: Improving Long Story Coherence With Detailed Outline Control”, announced in this Twitter thread from December 2022. However, these papers used GPT-3, and I was hoping to find similar techniques implemented with open source tools that I could run locally. If anyone has experience or knows of resources that could help me achieve long, coherent story generation with an open source LLM on low-spec hardware, I would greatly appreciate any advice or guidance.