A user is experimenting with local large language models to assist in the level design process for Halo Infinite's Forge mode. They are using a specific LLM, Q3.8-FN-NVFP4, and a modified version of Ninfer-v3 to generate map blockouts. The process involves extracting map data, converting it into DCjson files for asset placement, and visualizing these in Blender before manual implementation in the game, as direct modification of game files is blocked by anti-cheat software. AI
IMPACT Demonstrates a potential workflow for using local LLMs to accelerate game asset placement and level design.
RANK_REASON User describes a novel application of local LLMs for game development tooling.
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