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README.md
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# 🧠 Andy-4-
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Welcome to **Andy-4-
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This AI is crafted to push the boundaries of gameplay, reasoning, and multi-language summarization, making it one of the most versatile and powerful models available for Minecraft enthusiasts.
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# Overview
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Andy-4-
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It has been meticulously trained over three weeks on a single RTX 3090 using two carefully curated datasets.
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The model underwent 2 epochs on the first dataset with a higher learning rate and 4 epochs on the second dataset with a much lower learning rate, ensuring a balanced and robust learning process.
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This training regimen, coupled with advanced techniques like manual learning rate adjustments and dynamic dataset modifications, has allowed Andy-4-
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# How to install
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If you want a more custom install, go to the `files` tab on Huggingface, and download the quantization you want and the `Modelfile`
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Once downloaded, open `Modelfile` in a text editor, and change the `FROM` tag to the exact path of the GGUF weights you installed without the quotes, such as `C:\users\jimmy\downloads\Andy-4-
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Open the directory of your Modelfile in the terminal, or command prompt, and then run `ollama create Andy-4-
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For most people, using the direct HF method of downloading Andy-4-
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For the full Andy-4 model, there will be a direct download on Ollama, so you won't have to do it this method.
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## Installation notes
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Andy-4-
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A context window of `8192` is smaller, but it can still allow for great conversations with the model, and since the model knows all of the commands by heart, you can cut the command docs from the system prompt to lower context usage.
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# Key Features
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- **Revolutionary Performance:** Specifically engineered for Minecraft gameplay, providing creative, strategic, and efficient in-game decision-making.
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- **Advanced Reasoning Capabilities:** If you include `Reason in your responses with <think> and </think>` in your prompt, or something similar, Andy-4-
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- **Multi-Language Summarization:** Capable of summarizing content in multiple languages, making it more efficient at remembering it's history.
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- **Building and Creativity:** Not only can it play Minecraft, but it also excels in constructing complex structures and solving intricate in-game challenges.
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- **Vast Knowledge Base:** Possesses extensive knowledge about Minecraft, including game mechanics, strategies, and creative builds.
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# Open Source and Licensing
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Andy-4-
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## LoRA Weights
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Access the LoRA weights for Andy-4-
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# Datasets
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# Usage
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To integrate Andy-4-
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Customize the personality in the `conversing` profile section and configuration files to optimize performance for specific in-game tasks or environments.
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Andy-4-
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# Mindcraft Project
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## How to use
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On Mindcraft, ensure you put `ollama/` before the model name, this can be something like `ollama/hf.co/sweaterdog/andy-4-
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## Notes on Quantization
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# Disclaimer
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**Important Notice:**
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Andy-4-
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- **Performance Variability:** Due to its experimental nature, the model may not always deliver ultimate performance in every scenario.
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- **Ongoing Development:** This preview release is intended for early testing and community feedback. You might encounter occasional inconsistencies or limitations as further refinements are made.
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- **Huggingface Page:** Explore more experimental models and projects: [Sweaterdog on Huggingface](https://huggingface.co/Sweaterdog)
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- **Discord Username:** `Sweaterdog`
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We welcome your feedback, suggestions, and contributions as we continue to improve Andy-4-
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# Acknowledgements
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- minecraft
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# 🧠 Andy-4-base 🧠
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Welcome to **Andy-4-base** – a revolutionary new model designed for playing Minecraft via the Mindcraft framework.
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This AI is crafted to push the boundaries of gameplay, reasoning, and multi-language summarization, making it one of the most versatile and powerful models available for Minecraft enthusiasts.
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# Overview
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Andy-4-base is an 8B parameter model built on the efficient Llama3.1 8B DeepSeek-R1 distill architecture.
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It has been meticulously trained over three weeks on a single RTX 3090 using two carefully curated datasets.
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The model underwent 2 epochs on the first dataset with a higher learning rate and 4 epochs on the second dataset with a much lower learning rate, ensuring a balanced and robust learning process.
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This training regimen, coupled with advanced techniques like manual learning rate adjustments and dynamic dataset modifications, has allowed Andy-4-base to outperform its competitors, including GPT-4o-mini, Claude 3.5 Haiku, Mineslayer v2, and the former leader, Andy-3.6.
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# How to install
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If you want a more custom install, go to the `files` tab on Huggingface, and download the quantization you want and the `Modelfile`
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Once downloaded, open `Modelfile` in a text editor, and change the `FROM` tag to the exact path of the GGUF weights you installed without the quotes, such as `C:\users\jimmy\downloads\Andy-4-base.Q3_K_M.GGUF`
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Open the directory of your Modelfile in the terminal, or command prompt, and then run `ollama create Andy-4-base -f Modelfile`, which will create `Andy-4-base` as the model, based on the Modelfile, which includes some important information such as system prompt, chat template, context length, as well as sampling settings.
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For most people, using the direct HF method of downloading Andy-4-base is recommended, but you will suffer from a shorter context window, and possibly sparatic text.
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For the full Andy-4 model, there will be a direct download on Ollama, so you won't have to do it this method.
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## Installation notes
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Andy-4-base, and Andy-4, will support a context window of up to `131072` tokens, but to run the Q5_K_M version with that context length, at stock settings on ollama, you would need an RTX 5090, and you would have 3GB of VRAM left over for Minecraft
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A context window of `8192` is smaller, but it can still allow for great conversations with the model, and since the model knows all of the commands by heart, you can cut the command docs from the system prompt to lower context usage.
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# Key Features
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- **Revolutionary Performance:** Specifically engineered for Minecraft gameplay, providing creative, strategic, and efficient in-game decision-making.
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- **Advanced Reasoning Capabilities:** If you include `Reason in your responses with <think> and </think>` in your prompt, or something similar, Andy-4-base will provide detailed reasoning to enhance performance, at the cost of speed.
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- **Multi-Language Summarization:** Capable of summarizing content in multiple languages, making it more efficient at remembering it's history.
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- **Building and Creativity:** Not only can it play Minecraft, but it also excels in constructing complex structures and solving intricate in-game challenges.
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- **Vast Knowledge Base:** Possesses extensive knowledge about Minecraft, including game mechanics, strategies, and creative builds.
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# Open Source and Licensing
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Andy-4-base is 100% open source and is licensed under the [Apache 2.0 License](LICENSE). We believe in transparency and community collaboration, and all source code and training details are available for review and contribution.
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## LoRA Weights
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Access the LoRA weights for Andy-4-base here: [Andy-4-base LoRA Weights](https://huggingface.co/Sweaterdog/Andy-4-base-LoRA)
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# Datasets
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# Usage
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To integrate Andy-4-base with the Mindcraft framework, adjust your configuration settings as needed and follow the execution instructions provided separately.
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Customize the personality in the `conversing` profile section and configuration files to optimize performance for specific in-game tasks or environments.
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Andy-4-base is designed to seamlessly integrate with your existing Mindcraft setups, enhancing both gameplay and creative capabilities.
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# Mindcraft Project
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## How to use
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On Mindcraft, ensure you put `ollama/` before the model name, this can be something like `ollama/hf.co/sweaterdog/andy-4-base:q5_k_m`
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## Notes on Quantization
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# Disclaimer
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**Important Notice:**
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Andy-4-base is a preview model and, while it represents a significant advancement in AI-driven Minecraft gameplay, please be aware of the following:
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- **Performance Variability:** Due to its experimental nature, the model may not always deliver ultimate performance in every scenario.
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- **Ongoing Development:** This preview release is intended for early testing and community feedback. You might encounter occasional inconsistencies or limitations as further refinements are made.
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- **Huggingface Page:** Explore more experimental models and projects: [Sweaterdog on Huggingface](https://huggingface.co/Sweaterdog)
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- **Discord Username:** `Sweaterdog`
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We welcome your feedback, suggestions, and contributions as we continue to improve Andy-4-base and push the boundaries of AI in gaming.
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# Acknowledgements
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