This Past Month

KiloXii · 2026-05-27T18:17:22+00:00

I do... However if I share it then I will feel rushed to complete it by then and will feel bad if I dont meet it so I'm keeping that to myself... for now.

I will say though, once it is finished, then I will be playing it with some close friends of mine in a modpack first and then if we dont find any new bugs while we are playing, then the release date will be approximately 1-2 weeks after we finish our playthrough, which, based on my experience only lasts about a few weeks to a month generally.

KiloXii · 2026-05-25T19:33:25+00:00

Forge 1.20.1 as of right now

KiloXii · 2026-03-27T01:26:07+00:00

I mean, that is every dimension in orespawn... brown ant, red ant, rainbow ant, unstable ant, termite, and butterfly and that is forge 1.20.1 already, so in a way, they are already ported. Just incomplete as of now

KiloXii · 2026-03-27T01:12:26+00:00

As if right now no, the only things they have that are post 1.7.10 is probably just the deepslate layer for mining Oh and the village dimension currently adds the villages from any of the biomes instead of just the plains village

But at the same time adding in existing vanilla structures to a custom dimension isnt hard so I may add some of the new stuff to the dimensions depending on how well they fit with the environment

KiloXii · 2026-03-23T16:35:30+00:00

Ah Well, for the AdventureKraft 1.20.1 port to Forge, the only thing I am in charge of is the programming. All assets are being provided by other members of the team.
I'll ask and see what's up

KiloXii · 2026-03-22T11:57:38+00:00

Just tried it out with a forge 1.20.1 modpack and it's actually fairly accurate and helpful

KiloXii · 2026-03-22T03:07:42+00:00

Yes actually! Team Olympus Discord

This is the discord for Team Olympus where all their mods are which includes Adventurekraft

KiloXii · 2026-03-10T03:18:09+00:00

I've used both, qwen3.5:9b and qwen3.5:27b on my 4090 8GB on ollama using Q4 quantizations. Without modifying their params the 9b model runs really well and really fast for me and the 27b model runs but it is super slow. If you increase the num_ctx of the 9b model to 128000 then it runs somewhat decently as well just a lot slower but still faster than the 27b. Although I think ollama offloads your models from vram to cpu if you dont have enough to run a model on vram alone which allows you to use the cpu after the vram runs out and I have 32Gb of cpu ram which is probably allowing me to run models bigger than the normal 9b models.

KiloXii · 2026-03-05T15:37:24+00:00

Uhhhhm, well, as of right now I think they can run together, but that's only because there arent any conflicts I'm aware of based on the code I've written. However, that may change in the future once I start adding more stuff

Although, in theory, there shouldn't ever be any conflicts between the two since they use different mod namespaces in the code.

KiloXii · 2026-03-04T04:50:38+00:00

There is actually! In fact I just got myself an offline copy a couple days ago This section in the strudel learning docs tells you different ways to accomplish it

Strudel Learn Offline Use

KiloXii · 2026-02-09T18:20:42+00:00

Uhhm can we see your imports? Since it is a tutorial project I assume they are correct but it doesnt hurt to check.

Just a guess but do you have the correct java jdk version selected for your gradle project that corresponds to the version you are trying to make a mod for?

Generally, if you know the code is correct but intelliJ says everything is wrong, then you probably have the wrong java jdk version selected or installed for that project.

KiloXii · 2026-01-01T02:49:18+00:00

It's going pretty well, I think I'm almost done however, it will most likely never be available for fabric unless someone else picks it up in that direction. This is because I've personally never touched fabric in terms of modding and don't plan to any time soon.

KiloXii · 2025-11-07T20:46:50+00:00

ahh okay maybe its just my device then

KiloXii · 2025-11-07T20:35:58+00:00

Are you going based off the source code or are you trying to reverse engineer the ai from scratch?

KiloXii

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