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Linux is a family of open source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991 by Linus Torvalds. Linux is typically packaged in a Linux distribution (or distro for short).

Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word "Linux" in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.

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

submitted 6 months ago by ChasingEnigma 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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