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How can I use a local LLM on Linux to generate a long story? (lemmy.world)

submitted 6 months ago by [email protected] to c/[email protected]

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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.

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[–] [email protected] 10 points 6 months ago (1 children)

You can get a really cool, coherent story of any length you want by writing one or hiring a writer.

[–] [email protected] 7 points 6 months ago (1 children)

I've won NaNoWriMo twice and I can confirm that writing your own does not necessarily result in a cool or coherent story. One of the two is likely better than an LLM could come up with, though.

[–] [email protected] 1 points 6 months ago* (last edited 6 months ago)

I've written more than enough words to win, while failing to finish my story. I've also played a lot with local LLMs. Can confirm on all counts.