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Description
This is combine the efficiency of GGUF models for local AI inference with a user-friendly Graphical User Interface (GUI) and deliver it as a simple, portable executable (like an .exe). This directly addresses common hurdles in deploying local AI—complexity and difficult installation.
Here is a proposed structure for your GitHub Idea/Feature Request, focusing on the key points:
Project Idea: Portable GGUF-Powered Minecraft AI/NPC Control Panel
Overview:
This project aims to create a portable, easy-to-use GUI application that allows users to seamlessly download, load, and control GGUF (GPT-Generated Unified Format) models specifically for Minecraft AI/NPC (Non-Player Character) interactions. The goal is to replace complex terminal-based (Python-based) setup with a simple, all-in-one executable (e.g., .exe for Windows) for a "click-and-play" experience.
Key Goals and Features:
1) GGUF Model Support:
Implement core functionality to load AI models stored in the highly optimized GGUF format. GGUF is excellent for local deployment and quantized models, making powerful AI feasible on consumer-grade hardware.
Allow users to specify the path to a local GGUF file or select a model directly from a curated list (e.g., from Hugging Face models tagged as minecraft-GGUF).
2) Full GUI Control Panel (Easy Installation):
Develop a full GUI to manage the AI instead of relying on a command-line interface. This makes it accessible to a much broader user base.
- Behavior Control Panel:
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Design a interface for users to create NPC behaviors (e.g., patrol routes, interaction triggers, dialogue options, commands, learning, memory, tail).
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Include a visual logic editor for crafting custom NPC decision-making processes (e.g., "If NPC Bot has item X, then say Y", or "if NPC bot can build nether portal using mixed bucket lava and bucket water, flit with iron).
- Community Tools:
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A built-in NPC different behavior and talk chatter library where users can share and download custom NPC profiles, incluing add support vision like-robot.
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Implement File Documentation knowledge and tutorials (dataset or furing-tune training) for creating advanced NPC behaviors without coding.
- Core GUI Components:
-Model Selection/Loading: A simple button/field to browse and load a .gguf file.
-Parameter Control: Sliders/input fields for common LLM (Large Language Model) parameters like Temperature (for creativity/randomness), Top-P, and Max Tokens.
-Prompt/Instruction Input: A large text area for system prompts or initial instructions to define the NPC's personality or role (e.g., "You are a helpful explorer who prioritizes mining iron."). -Connection Status: Visual indicator of the connection status to the Minecraft server/mod API. -Connection Status: Visual indicator of the connection status to the Minecraft server/mod API.- Portable Executable (.exe/Bundled App):
-Package the application and its dependencies (like the necessary inference engine, e.g., a C/C++ based one like llama.cpp or a derivative) into a single, portable file. - This eliminates the need for users to install Python environments or deal with dependency management, making it easy to download and run.- Testing Framework:
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Include a sandbox environment within Minecraft for real-time testing of NPC behaviors.
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Support for debugging tools (e.g., NPC thought logs, pathfinding visualizers, token, error or possible glitch, health AI (if system detect AI act be dumb or smart).