File size: 8,027 Bytes
abbdd5c 03f1688 d17ae58 03f1688 d17ae58 abbdd5c f221ed9 3aaa468 abbdd5c bd5d89f abbdd5c c650ac0 c07bbe9 abbdd5c c650ac0 4b8d003 abbdd5c edb376b abbdd5c edb376b c07bbe9 abbdd5c 69c61db 3b12e45 abbdd5c 25ecd6f abbdd5c edb376b 03f1688 25ecd6f 03f1688 14eec2e 69c61db 14eec2e f997800 14eec2e a9a7462 25ecd6f 14eec2e 25ecd6f bd5d89f 69c61db bd5d89f 69c61db bd5d89f 69c61db bd5d89f 69c61db 706ac6a 25ecd6f 69c61db 25ecd6f c650ac0 25ecd6f 69c61db 25ecd6f 706ac6a 25ecd6f 77b337e 706ac6a 24156fb 706ac6a 61ef961 2c4942c 61ef961 706ac6a 25ecd6f 706ac6a 24156fb 61ef961 fa69537 61ef961 fa69537 f7327e7 61ef961 fa69537 61ef961 25ecd6f 61ef961 fa69537 61ef961 fa69537 24156fb fa69537 61ef961 fa69537 61ef961 fa69537 24156fb fa69537 61ef961 fa69537 61ef961 fa69537 61ef961 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 |
---
license: apache-2.0
datasets:
- Sweaterdog/Andy-3.5
language:
- en
base_model:
- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
tags:
- Minecraft
- MindCraft
---
# 🚀 Welcome to a new generation of Minecraft with Andy 3.5 🚀
## Andy 3.5 is a collection of LOCAL LLM's designed for playing Minecraft
*Andy 3.5 is designed to be used with MindCraft, and is not designed nor intended to be used for any other applications*
> # 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!](https://github.com/Sweaterdog/Mindcraft-for-Andy-3.5)
>
> For more info, as well as the supported version of Mindcraft, please follow [this link to github](https://github.com/Sweaterdog/Mindcraft-for-Andy-3.5)
# How to Install / Setup
1. Select the model you would like to use *(The regular model, as well as the small model is recommended)*
2. Download the Modelfile
3. Once downloaded, open Modelfile in a text editor, and change the path to the download location of the gguf file
4. When changed, save the file, and open command terminal
5. *(Optional if CMD isn't opened via file explorer)* Navigate to the correct directory using "cd"
6. 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
7. Go to a profile in MindCraft
8. Change the model to be ```sweaterdog/Andy-3.5``` *Or whatever you named your model*
9. Ensure you have the emdedding tag set to Ollama, like below
```
{
"name": "andy-3.5",
"model": "Sweaterdog/Andy-3.5",
"embedding": "ollama"
}
```
10. 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](https://huggingface.co/datasets/Sweaterdog/Andy-3.5) 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](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B)
* Small is a 3B parameter model, tuned from [Qwen2.5 3B](Qwen/Qwen2.5-3B-Instruct)
* Mini is a 1.5B parameter model, also tuned from [Deepseek-R1 Distilled](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)
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](https://huggingface.co/Sweaterdog/Andy-3.5/blob/main/Supporters.txt)
# 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](https://huggingface.co/Sweaterdog/Andy-3.5/blob/main/local_demo.json)
## 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 |