You aren't going to get a response that long. That is just the limitations of LLM's. If you do manage to get something that long it won't make sense as it can't hold enough context as it generates.
this post was submitted on 02 May 2024
17 points (79.3% liked)
Linux
48746 readers
798 users here now
From Wikipedia, the free encyclopedia
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.
Rules
- Posts must be relevant to operating systems running the Linux kernel. GNU/Linux or otherwise.
- No misinformation
- No NSFW content
- No hate speech, bigotry, etc
Related Communities
Community icon by Alpár-Etele Méder, licensed under CC BY 3.0
founded 5 years ago
MODERATORS
You can get a really cool, coherent story of any length you want by writing one or hiring a writer.
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.
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.
The limited context lengths for local LLMs will be a barrier to write 10k words in a single prompt. Approaches to this is to have the LLM have a conversation with itself or other LLMs. There are prompts out there that can simulate this, but you will need to intervene every few hundred words or so. Check out ‘AutoGen’ frameworks that can orchestrate this for you. CrewAI is one of the better ones. hope this helps
Have a peruse of this article. Various different options for running LLMs locally
GPT4All
Ollama provides a Python API which may be useful. You could have it generate the story in chunks, having it generate a list of key points which get passed to subsequent prompts. Maybe...
I feel like i've seen someone ask this exact question here not too long ago. Was it you?