rainbowkarin

joined 1 year ago
[–] rainbowkarin@alien.top 1 points 11 months ago (6 children)

A moderator replied after I shared the idea three months ago but from what I know we've only got one thread from it. I still feel like having a weekly megathread (since new models come out for various reasons) would be the way to go

[–] rainbowkarin@alien.top 1 points 1 year ago

I always felt like Animal Crossing would be a perfect candidate for LLMs. A lot of the appeal of the earlier games was its sheer quantity of charming dialogue that also changed depending on the time of day or current events. You could also write letters to the villagers, but they always replied with something vague.

So having LLMs generate endless, creative dialogue and engaging response letters could probably breathe new life into the older games.

Also off-topic, I'm surprised I haven't seen any AI-based world generators trained on fantasy heightmaps

[–] rainbowkarin@alien.top 1 points 1 year ago

Welcome!

First you'd need to pick out a frontend first. I usually use KoboldCpp to load the models, and SillyTavern to connect to KoboldCpp with a chat-focused interface.

You can't run them without a model, though. I personally recommend OpenHermes 2.5 7B (8GB RAM recommended) or TieFighter 13B (16GB RAM recommended). You can download characters from Chub (NSFW) or you can download CharacterAI characters with CAI Tools.

That covers the basics, but if you need any help setting it up let me know! I also have an in-depth guide to understand jargon and such here, but it's not updated often.

[–] rainbowkarin@alien.top 1 points 1 year ago (1 children)

u/MostlyRocketScience has some good recommendations (I myself had a lot of fun asking OpenHermes 2.5 to start text adventures, though it has a habit of going on unless you set the generation length to 200 or lower).

If you mean recreating AI Dungeon literally, there's Dan's Adventurous Winds 7B (based off of the well-received 7B "Mistral" models), which has been trained on text adventure datasets.

There's also these which were trained on the original AI Dungeon dataset (which was pretty unhinged), but they aren't the same size you're looking for:

  • AI Dungeon 2 Classic (1.5B, the original GPT-2 model; to run it under Oobabooga you need to use the "ctransformers" loader)

  • Spring Dragon (13B, intended to replicate AI Dungeon's paid GPT-3 model from 2020)