Selfhosted

40218 readers

1009 users here now

A place to share alternatives to popular online services that can be self-hosted without giving up privacy or locking you into a service you don't control.

Rules:

Be civil: we're here to support and learn from one another. Insults won't be tolerated. Flame wars are frowned upon.
No spam posting.
Posts have to be centered around self-hosting. There are other communities for discussing hardware or home computing. If it's not obvious why your post topic revolves around selfhosting, please include details to make it clear.
Don't duplicate the full text of your blog or github here. Just post the link for folks to click.
Submission headline should match the article title (don’t cherry-pick information from the title to fit your agenda).
No trolling.

Resources:

selfh.st Newsletter and index of selfhosted software and apps
awesome-selfhosted software
awesome-sysadmin resources
Self-Hosted Podcast from Jupiter Broadcasting

Any issues on the community? Report it using the report flag.

Questions? DM the mods!

founded 1 year ago

MODERATORS

[email protected]

Does anyone else have experience with koboldcpp? How do I make it give me longer outputs? (lemmynsfw.com)

submitted 4 months ago by [email protected] to c/[email protected]

7 comments fedilink hide all child comments

I switched from llamacpp to koboldcpp. Koboldcpp is really really fast because it can use gpu. The problem is that I'm having a hard time to get it to generate long enough outputs.

"write an essay about the history of the moon. It needs to be at least 500 words" for example is a prompt where the same model will give me an output that's actually that long on llamacpp. Koboldcpp never gives me more than about 70 words per response. Pressing enter to make the ai continue writing or asking it to continue doesn't work as well in my koboldcpp setup as it does on llamacpp. I've set the tokens to generate to 512, the highest number. I've set the context tokens to 4096.

What else can I do to try to get longer responses?

you are viewing a single comment's thread
view the rest of the comments

[–] [email protected] 3 points 4 months ago (1 children)

You're part of the way there by setting the token count higher. Context will make the model "remember" more, so that's helpful for generating responses up to the token count.

If you haven't already, go into the settings menu and make sure "Continue bot responses" is turned on. If it is, pressing the submit button with no input should make the bot add onto what it output before.

[–] [email protected] 2 points 4 months ago* (last edited 4 months ago)

I think I might be on to something that contributes to the problem. The built-in "KoboldGPT chat" option puts some example queries in its context memory. They aren't very long responses so I think it's just seeing that and using it as a guideline for what to say which results in shorter answers.

If I use the "new chat" option instead of "KoboldGPT chat", it makes it so that nothing is in the context. No prompt and no memory. This way when I tell it to write 500 words of crap, it doesn't quite write that much but it's a lot better than before. Pressing enter to make it generate more text works more often this way too.