Hey everyone, I’m looking for a way to use an open source local large language model (LLM) on Linux, particularly on low-spec hardware like Raspberry Pi, to generate lengthy, coherent stories of 10k+ words from a single prompt. I recall reading about methods described in scientific papers such as “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. These papers used GPT-3, and since it’s been a while since then, I was hoping there might be something similar made using only open source tools. Does anyone have experience with this or know of any resources that could help me achieve long, coherent story generation with an open source LLM? Any advice or pointers would be greatly appreciated. Thank you!
you need a gpu or gpu resources to run a GPT level model
stop thinking of it as “make me a story” and start thinking of it as “let’s make a story together”
First talk back and forth over the basic idea.
Then get a short outline.
Then work on each chapter of the outline.
Then repeat and refine.
Try to keep overall queries under a certain character limit. Google what some good ranges are.
Make sure to save each conversation, and use the outline and previous chapter as the start of your conversation for making the next chapter.
The AI won’t write it for you, but it can be an amazing accelerator if you’re willing to put in the work.