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llama.cpp uses the gpu if you compile it with gpu support and you tell it to use the gpu..
Never used koboldcpp, so I don't know why it would it would give you shorter responses if both the model and the prompt are the same (also assuming you've generated multiple times, and it's always the same). If you don't want to use discord to visit the official koboldcpp server, you might get more answers from a more llm-focused community such as [email protected]
Cool I didn't know llamacpp could do gpu acceleration at all. I'm going to look into that.
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.
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.