MC-LM-2.0: The Advanced Minecraft Language Model

🚀 Overview

MC-LM-2.0 is the second-generation language model specifically fine-tuned for the domain of Minecraft. Built on the powerful OPT-350m architecture, this model represents a significant upgrade over its predecessor (MC-LM-1.0), focusing on complex logic, detailed mechanics, and long-range coherence.

This model is intended for developers, content creators, and dedicated players who require accurate, context-aware, and detailed text generation about Minecraft.

🌟 Key Improvements and Advanced Capabilities

MC-LM-2.0 was trained using a crucial parameter that ensures superior quality: a 1024 token block size. This allows the model to learn and retain information over much longer sequences, leading to several key improvements:

Feature	MC-LM-1.0 (Basic)	MC-LM-2.0 (Advanced)
Logic (Code Tag)	Simple command syntax and basic recipes.	Advanced Redstone logic, complex command block setups, and in-depth modding concepts.
Coherence	Short, often repetitive, and too concise text.	Long-range narrative and explanation. Capable of writing multi-paragraph tutorials and detailed project blueprints.
Agency (Agent Tag)	Basic advice and simple actions.	Detailed step-by-step procedures for automated farms, complex defenses, and optimizing resource collection.
Aesthetics (Art Tag)	Simple structure names.	Generation of creative and complex build ideas, including material palettes and architectural styles.

🛠️ Usage

To load and use this model, ensure you have the transformers library installed.

Loading the Model

from transformers import AutoModelForCausalLM, AutoTokenizer

# Replace 'Raziel1234' with the actual username where the model is hosted
model_name = "Raziel1234/mc-lm-2.0" 

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)