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!
This probably isn’t very helpful but the best way I’ve found to make an ai write an entire book is still a lot of work. You have to make it write it in sections, pay attention to the prompts based on what’s happening and spend a lot of time copy pasting the good sentences into a better quality section and then use those blocks of text to create chapters. You’re basically plagiarizing a document using ai written documents rather than making the ai shit it out in 1 continuous stream.
If you could come up with a way to make an ai produce a document using only complete sentences from other ai generated documents, maybe you could achieve a higher level of automation and still yield similar quality. Because otherwise it’s just as difficult as writing a book yourself.
As for software, use llamacpp. It’s a cpu-only ai thingy that can utilize multiple cores. You probably aren’t getting an nvidia gpu running on any arm board unless you have a really long white neck beard and a degree in computer engineering. Download gguf compatible models for llamacpp on hugging face.