SuNavar/Pygenesis-Unity

1---2license: gfdl3language:4- es5- en6base_model:7- Qwen/Qwen2.5-Coder-7B-Instruct8tags:9- gguf10- unity11- csharp12- code13---14# Pygenesis Unity GGUF (Qwen 2.5 Coder Fine-Tuned)15 16**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.17 18The 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.19 20## Model Description21 22- **Developed by:** Pygenesis Association23- **Base Model:** Qwen 2.5 Coder24- **Format:** GGUF (Optimized for local deployment)25- **Specialization:** Unity Engine & C# Language26 27## Training Details28 29The training pipeline focused heavily on structure and logic:30* Full coverage of Unity Manual best practices, Monobehaviours, Scriptable Objects, and performance optimization.31* Advanced C# scripting patterns applied to game design.32* Instructional data distillation using frontier models to maximize code accuracy and deep reasoning capabilities.33 34## Intended Use35 36Pygenesis Unity is tailored for indie developers and technical leads who want a privacy-first, offline assistant to:37* Generate clean, optimized C# scripts for Unity loops and systems.38* Debug engine-specific code and refactor legacy scripts.39* Implement performance-oriented architecture (such as object pooling, memory management, or basic DOTS structures).40 41## How to Use42 43Since this model is provided in GGUF format, you can run it locally using various inference engines.44 45### Example using Llama.cpp CLI:46```bash47./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