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Deep Mob Learning: Refabricated Mod Wiki & Guide

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A Fabric port of Deep Mob Learning that adds mob data models, trial systems, and loot fabrication mechanics for simulating mob drops.

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Contents (5)
  1. Overview
  2. Guides
  3. Frequently asked questions
  4. Gallery
  5. You May Also Like

Overview

Deep Mob Learning: Refabricated is a server-friendly alternative to traditional mob farming. Instead of building massive, lag-inducing mob grinders, players can "train" digital Data Models by defeating mobs or running simulations. These models are then used to generate Pristine Matter, which can be processed into specific mob drops like Wither Skeletons' skulls, Ender Pearls, or even Nether Stars.

This version is a modern rework specifically for the Fabric mod loader (1.19.2, 1.20.1+), introducing new mechanics like the Data Synthesizer, Modular Armor, and Pristine Energy while maintaining the core loop of the original mod.

Guides

Step-by-step, in-game.

How to Automate Mob Data Model Leveling with a Mob FarmManually killing mobs is slow. Automating the process with a mob farm lets you level Data Models quickly. Building a…How to Get Started with Deep Mob Learning: Crafting Your First Data ModelDeep Mob Learning revolves around Data Models, which are items that absorb mob kills and later simulate drops. Your…How to Use the Deep Learner to Level Up Data ModelsThe Deep Learner is a portable device that lets you train Data Models by killing mobs, and it also stores experience.…How to Use the Simulation Chamber to Produce Mob Drops AutomaticallyThe Simulation Chamber is the core machine that turns Data Models into actual items. It consumes power and polymer…

Frequently asked questions

How do I get my first data model?
Craft a blank data model and combine it with a mob-specific item or drop in a crafting recipe to bind it to that mob. Once bound, the model starts at the lowest tier and can be leveled by feeding it experience through the Deep Learner or Simulation Chamber.
What's the difference between the Deep Learner and the Simulation Chamber?
The Deep Learner is a handheld device that levels up data models using your own XP while you carry it. The Simulation Chamber is a block that consumes power and the model's stored data to produce mob drops automatically without you being present.
How do I level up a data model?
Insert the model into a Deep Learner and gain experience normally — the learner absorbs XP to fill the model's progress bar. Alternatively, run the model in a Simulation Chamber, which accumulates data over time and tiers the model up as it works.
Why isn't my Simulation Chamber producing anything?
Check that the chamber has power, that a data model is inserted, and that the model has reached a tier high enough to produce output. Low-tier models may only generate data, not items, until they level up further.

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