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!
If you get just the right gguf model (read the description when you download them to get the right K-optimization or whatever it’s called) and actually use multithreading (llamacpp supports multithreading so in theory gpt4all should too), then it’s reasonably fast. I’ve achieved roughly half the speed of ChatGPT just on an 8 core amd fx with ddr3 ram. Even 20b models can be usably fast.