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README.md

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+# Pygenesis Unity GGUF (Qwen 2.5 Coder Fine-Tuned)
+
+**Pygenesis Unity** is a specialized, fine-tuned LLM based on the Qwen 2.5 Coder architecture, optimized for **Unity game development and advanced C# scripting**. This repository contains the model weights in **GGUF format**, making it perfect for efficient local inference.
+
+The model was fine-tuned using a curated dataset of nearly 1,000 high-quality, domain-specific instruction-response pairs sourced from official Unity documentation, advanced C# manuals, and high-tier synthetic data.
+
+## Model Description
+
+- **Developed by:** Pygenesis Association
+- **Base Model:** Qwen 2.5 Coder
+- **Format:** GGUF (Optimized for local deployment)
+- **Specialization:** Unity Engine & C# Language
+
+## Training Details
+
+The training pipeline focused heavily on structure and logic:
+* Full coverage of Unity Manual best practices, Monobehaviours, Scriptable Objects, and performance optimization.
+* Advanced C# scripting patterns applied to game design.
+* Instructional data distillation using frontier models to maximize code accuracy and deep reasoning capabilities.
+
+## Intended Use
+
+Pygenesis Unity is tailored for indie developers and technical leads who want a privacy-first, offline assistant to:
+* Generate clean, optimized C# scripts for Unity loops and systems.
+* Debug engine-specific code and refactor legacy scripts.
+* Implement performance-oriented architecture (such as object pooling, memory management, or basic DOTS structures).
+
+## How to Use
+
+Since this model is provided in GGUF format, you can run it locally using various inference engines.
+
+### Example using Llama.cpp CLI:
+```bash
+./llama-cli -m pygenesis-unity-qwen2.5-coder.gguf -p "Write a highly optimized C# script for an object pooling system in Unity." -n 512