Update README.md

README.md

@@ -1,3 +1,151 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+datasets:
+- Sweaterdog/Andy-3.5-MASSIVE
+language:
+- en
+tags:
+- Minecraft
+- Mindcraft
+- minecraft
+- mindcraft
+---
+
+# 🚀 Welcome to Next Generation Minecraft with Andy 3.6-small 🚀
+
+## Andy 3.6-small is a **LOCAL** model beating Andy-3.5 in performance
+*Andy 3.6-small 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-small was trained on older data, and not the newest and latest versions of Mindcraft.
+> 
+> I **cannot** guarantee that Andy-3.6-small 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-small 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)*
+4. Run the command in your terminal
+5. Now you have Andy-3.6-small installed!
+
+If you would like to use the full Andy-3.6 model, you can find that [here](https://huggingface.co/Sweaterdog/Andy-3.6)
+
+# 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-small was trained on EVERYTHING regarding Minecraft and MindCraft, it knows how to use commands natively without a system prompt.
+Andy-3.6-small 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.
+
+I have found through testing Andy-3.6-small needs extra time to decide what to do since it is a smaller model, but in the end it often generates a good response.
+
+You can also *prompt* Andy-3.6-small 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 our latest model, capable of more reasoning than Andy-3.6, and half the size!
+
+> # 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*
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/66960602f0ffd8e3a381106a/IEw1Gydg943qVSNGAL3RW.png)
+
+
+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
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/66960602f0ffd8e3a381106a/r3AoHHlmQuPdpt3WEFcyp.png)
+
+## *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