Developer Builds Minecraft Clone Locally Using Qwen LLM and Vibecoding
A developer successfully created a complete Minecraft clone—including code, textures, audio, and 3D models—using a locally run Qwen3.8-27b Q4 model on an RTX 4090. The entire generation process took about three hours and cost less than $1 in electricity. This project demonstrates the rapid advancement of local large language models (LLMs) and consumer hardware, showing that complex game development tasks can now be achieved locally without relying on expensive, proprietary cloud APIs. It also highlights the viability of "vibecoding" for end-to-end asset and code generation. The developer utilized a 4-bit quantized version of the Qwen model, which fit comfortably within the GPU's VRAM and successfully handled context windows exceeding 130k tokens by spilling over into system RAM without performance degradation. The AI generated all assets and code autonomously based on simple, repetitive prompts.
## BACKGROUND
"Vibecoding" is a modern software development practice where developers describe their intent to an AI assistant and let it generate, refine, and deploy the code. Qwen is a family of open-source large language models developed by Alibaba Cloud, while Q4 quantization refers to compressing these models to 4-bit precision to significantly reduce memory requirements for local execution.