| --- |
| license: apache-2.0 |
| datasets: |
| - Sweaterdog/Andy-3.5-MASSIVE |
| - Sweaterdog/Andy-3.5 |
| - Sweaterdog/Andy-3.5-reasoning |
| language: |
| - en |
| base_model: |
| - unsloth/DeepSeek-R1-Distill-Qwen-7B-unsloth-bnb-4bit |
| tags: |
| - minecraft |
| - Mindcraft |
| - Minecraft |
| - MindCraft |
| --- |
| |
| # 🚀 Welcome to Next Generation Minecraft with Andy 3.6 🚀 |
|
|
| ## Andy 3.6 is a **LOCAL** model beating Andy-3.5 in performance |
| *Andy 3.6 is designed to be used with MindCraft, and is not designed nor intended to be used for any other applications* |
|
|
|
|
| > # Please note! [!WARNING] |
| > |
| > Andy-3.6 was trained on older data, and not the newest and latest versions of Mindcraft. |
| > |
| > I **cannot** guarantee that Andy-3.6 will work on future versions as the model was tuned to play MindCraft with a specific version! |
| > |
| > For the rest of the Andy-3.6 generation, this model will **ONLY** be guaranteed to 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 |
|
|
| **Installing Andy-3.6 is much easier and Andy-3.5!** |
|
|
| 1. In the top right of this repo, click "Use This Model" |
| 2. Next, click Ollama |
| 3. Pick your quantization *(Q5_k_m is best size to performance, Q8_0 is very good with similar performance to F16, and q2_k is the worst)* |
| 4. Run the command in your terminal |
| 5. Now you have Andy-3.6 installed! |
|
|
| If you would prefer to use Andy-3.6-small, you can find that model [here](https://huggingface.co/Sweaterdog/Andy-3.6-small) |
|
|
| # How was model trained? |
|
|
| The model was trained on the [MindCraft dataset](https://huggingface.co/datasets/Sweaterdog/Andy-3.5-MASSIVE) for Andy-3.6, a curated dataset for Q & A, reasoning, and playing, which includes ~22,000 prompts. |
|
|
| # What are capabilities and Limitations? |
|
|
| Andy-3.6 was trained on EVERYTHING regarding Minecraft and MindCraft, it knows how to use commands natively without a system prompt. |
| Andy-3.6 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 2 model sizes avaliable, Regular, and Small |
| * 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) |
|
|
| All models will have **case-by-case reasoning** baked **into** the model, meaning when it encounters a hard task, it will reason. |
|
|
| You can also *prompt* Andy-3.6 to reason for better performance |
|
|
| # 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🔥 |
|
|
| ## **Andy-3.6-small Release!** |
| Andy-3.6-small is the latest model, as well as the last model in the Andy-3.6 generation. That model is capable of more reasoning than Andy-3.6 is. |
|
|
| > # 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 |
|
|
| ## Zero info Prompting |
| *How fast can a model collect 16 oak logs, and convert them all into sticks* |
|
|
|  |
|
|
|
|
| As shown, the only models that are capable of play without information, is Andy-3.6, and all Andy-3.5 models |
|
|
| You can test this demo out for yourself using [this profile](https://huggingface.co/Sweaterdog/Andy-3.5/blob/main/local_demo.json) |
|
|
|
|
| ## Time to get a stone pickaxe |
|
|
|
|
|  |
|
|
| ## *For Andy-3.6, I used the Q4_K_M quantization* |
|
|
| *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-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-3.6 performed the best, beating gpt-4o-mini and claude-3.5-haiku |
| |
| 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 faster than 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 |
