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.
The limited context lengths for local LLMs will be a barrier to write 10k words in a single prompt. Approaches to this is to have the LLM have a conversation with itself or other LLMs. There are prompts out there that can simulate this, but you will need to intervene every few hundred words or so. Check out ‘AutoGen’ frameworks that can orchestrate this for you. CrewAI is one of the better ones. hope this helps