Play Minecraft from a plain-language request with a 4B model

A developer (u/Top-Evidence174) built a Minecraft agent around a 4B local model called Mica v0.5 that turns a plain-language request into actions. In the demo the player types 'I'm hungry, get me at least 3 porkchops and also make me a netherite ingot.' Rather than parse the whole sentence at once, the pipeline breaks it into a chain of small multiple-choice questions, where the code supplies only the options from game data and the model picks each answer with a probability: how many items are requested, which category and subcategory each falls in, the exact item from the game's list, and who it is for. A recipe planner then lists the actions valid right now and the model chooses the next one.

The agent started from bare hands and worked through wood, tools, iron, diamonds, obsidian, a Nether portal, ancient debris and gold to craft the netherite ingot, gathered the porkchops, then returned and handed everything over, all shown in the video. The on-screen panel displays every question asked, the options seen, and the probability given to each choice.

The poster is candid that Mica is far from judging every variable like a person and that the bot does the walking, mining and crafting while the model supplies the judgment. Their GPU is AMD, so decision times shown are RTX 3090 estimates and the waits were cut from the video. The agent is not released yet; they suggest describing the step-by-step decomposition idea to a coding agent to rebuild it.