Please note! [!WARNING]

Andy-3.5 was trained on older data, and not the newest and latest versions of Mindcraft.

I cannot guarantee that Andy-3.5 will work on future versions as the model was tuned to play MindCraft with a specific version!

For the rest of the Andy-3.5 generation, this model will ONLY be supported on the version of Mindcraft in this github repo!

For more info, as well as the supported version of Mindcraft, please follow this link to github

Andy-3.5 is a great model, but wanted an updated version? Capable of more?

Andy-3.6 is an updated version of Andy-3.5, trained with more Epochs, and a bigger, and better dataset.

Andy-3.6 was trained on 4 epochs, instead of one (35,853 steps over 4,000), trained with a dataset of 24,000 examples instead of 11,000

Andy-3.6 also has a new feature, case-by-case reasoning, this means Andy-3.6 can reason when it deems a task needing of it, Andy-3.6 can be prompted to always reason

Why wait? Do you want a better model? you can find Andy-3.6 Here

How to Install / Setup

Select the model you would like to use (The regular model, as well as the small model is recommended)
Download the Modelfile
Once downloaded, open Modelfile in a text editor, and change the path to the download location of the gguf file
When changed, save the file, and open command terminal
(Optional if CMD isn't opened via file explorer) Navigate to the correct directory using "cd"
Run the command ollama create sweaterdog/Andy-3.5 -f Modelfile If you want multiple models, include a tag afterwards. Example: sweaterdog/Andy-3.5:mini-fp16 or sweaterdog/Andy-3.5:q2_k
Go to a profile in MindCraft
Change the model to be sweaterdog/Andy-3.5 Or whatever you named your model
Ensure you have the emdedding tag set to Ollama, like below

{
    "name": "andy-3.5",

    "model": "Sweaterdog/Andy-3.5",

    "embedding": "ollama"

}

Enjoy playing with an AI that you are hosting!

Ollama Support [!NOTE]

On Huggingface, there is an option to download GGUF models via Ollama

However, this method DOES NOT WORK for models other than the base model of Andy-3.5!

How was model trained?

The model was trained on the MindCraft dataset for Andy-3.5, which includes ~12,000 prompts, featuring all things Minecraft.

What are capabilities and Limitations?

Andy-3.5 was trained on EVERYTHING regarding Minecraft and MindCraft, it knows how to use commands natively without a system prompt. Andy-3.5 also knows how to build / use !newAction to perform commands, it was trained on lots of building, as well as, using !newAction to do tasks like manually making something or strip mining.

What models can I choose?

There are going to be 3 odel sizes avaliable, Regular, Small, and Mini

Regular is a 7B parameter model, tuned from Deepseek-R1 Distilled
Small is a 3B parameter model, tuned from Qwen2.5 3B
Mini is a 1.5B parameter model, also tuned from Deepseek-R1 Distilled

Small has a dedicated "reasoning" version released, Regular won't have a reasoning tune, Andy-3.6 will have built in case-by-case reasoning.

Out of all of the models, Teensy had the largest percent of parameters tuned, being 1/2 the models total size

Safety and FAQ

Q: Is this model safe to use?

A. Yes, this model is non-volatile, and cannot generate malicous content

Q. Can this model be used on a server?

A. Yes, In theory and practice the model is only capable of building and performing manual tasks via newAction

Q. Who is responsible if this model does generate malicous content?

A. You are responsible, even though the model was never trained to be able to make malicous content, there is a very very slight chance it still generates malicous code.

Q. If I make media based on this model, like photos / videos, do I have to mention the Creator?

A. No, if you are making a post about MindCraft, and using this model, you only have to mention the creator if you mention the model being used.

🔥UPDATE🔥

All models have their own folder, besides the main version of Andy-3.5

To find models such as reasoning or mini, go into files and search inside the folder

There is an Andy-3.5-reasoning-preview model, designed to demonstrate reasoning abilities in small language models to improve Minecraft skills

Remember that this is a preview model and is not guaranteed to work, nor perform better or the same as Andy-3.5-(Base)

When the full Andy-3.5-reasoning model is released, there will be the regular 7B model, as well as the small model, which is 3B parameters.

For future updates and generations there will not be a mini and a teensy version, of course the name may stay, but there wil not be a 1.5B nor a 360M model

I want to thank all supporters! [!NOTE]

I would love to thank everyone who supported this project, there is a list of supporters in the files section.

You can find all of the supporters here

Performance Metrics

These benchmarks are a-typical, since most standard benchmarks don't apply to Minecraft

The benchmarks below include models via API that are cheap, and other fine-tuned local models (Excluding Andy-v2 and Andy-v3, since they are poor in quality)

Zero info Prompting

How fast can a model collect 16 oak logs, and convert them all into sticks

Currently, Andy-3.5, Andy-3.5-small, and Andy-3.5-mini are the ONLY models that can play without command documentation, or any other instruction, and Andy-3.5-Mini sometimes fares better without the unnecessary data. Test this for yourself using this profile

Time to get a stone pickaxe

I am sure other models like Deepseek-R1 may be faster at getting a stone pickaxe, however the Demo was to show the performance of Andy-3.5

For Andy-3.5-mini, I used the FP16 model, I had enough VRAM to do so

For Andy-3.5, I used the Q4_K_M quantization

For Andy-3.5-small, I used the Q8_0 quantization

Andy-3.5-reasoning-small was able to be the most efficient model producing the lowest amount of messages, but took a whopping 34.5 minutes to get a stone pickaxe.

For Andy-3.5-Teensy, I used the FP16 quantization

For Mineslayerv1 and Mineslayerv2, I used the default (and only) quantization, Q4_K_M

Notes about the benchmarks

Zero Info Prompting

Andy-3.5-Teensy was able to use one command successfully, but was not able to afterwards

Andy-3.5-Mini collected 32 oak_log instead of 16 oak_log

Andy-3.5-small No notes

Andy-3.5 attempted to continue playing, and make a wooden_pickaxe after the goal was done.

Both Mineslayerv1 and Mineslayerv2 hallucinated commands, like !chop or !grab

Time to get a stone pickaxe

Andy-3.5-teensy hallucinates too much for stable gameplay (It is a 360M parameter model, what can be expected)

Andy-3.5-Mini was unable to make itself a stone pickaxe, however it collected enough wood, but then got stuck on converting logs to planks, it kept trying "!craftRecipe("wooden_planks", 6) instead of oak_planks

Andy-3.5-small kept trying to make a stone_pickaxe first

Andy-3.5 Made a stone pickaxe the fastest out of all models, including GPT-4o-mini and Claude-3.5-Haiku

Mineslayerv1 Was unable to use !collectBlocks, instead kept trying !collectBlock

Mineslayerv2 Was unable to play, it kept hallucinating on the first command