---
library_name: transformers
datasets:
- jakeboggs/MTG-Eval
---

# Model Card for MTG-Llama: Fine-Tuned Model for Magic: The Gathering

## Model Details

**Model Name:** MTG-Llama  
**Version:** 1.0  
**Base Model:** Llama 3 8B Instruct  
**Fine-Tuning Dataset:** MTG-Eval  
**Author:** Jake Boggs  

## Model Description

MTG-Llama is a fine-tuned version of Llama 3 8B Instruct, tailored specifically for understanding and generating responses related to  Magic: The Gathering (MTG). The model has been fine-tuned using a custom dataset, MTG-Eval, which includes question-answer pairs covering card descriptions, rules questions, and card interactions.

## Intended Use

MTG-Llama is designed to assist users with:
- Generating deck construction ideas.
- Answering in-game rules questions.
- Understanding card interactions and abilities.

## Training Data

The fine-tuning dataset, MTG-Eval, consists of 80,032 question-answer pairs generated synthetically. The dataset is categorized into:
- **Card Descriptions:** 26,702 examples
- **Rules Questions:** 27,104 examples
- **Card Interactions:** 26,226 examples

The data was sourced from the MTGJSON project and the Commander Spellbook combo database, reformatted into natural language question-answer pairs using ChatGPT 3.5.

## Training Procedure

The model was fine-tuned using QLoRA with the following hyperparameters:
- **r:** 64
- **alpha:** 32
- **Steps:** 75

## Acknowledgments

Thanks to the team at Commander Spellbook for generously sharing their dataset, without which this research would not be possible. All generated data is unofficial Fan Content permitted under the Fan Content Policy. Not approved/endorsed by Wizards. Portions of the materials used are property of Wizards of the Coast. ©Wizards of the Coast LLC.

## Resources

- **Dataset:** [MTG-Eval on HuggingFace](https://huggingface.co/datasets/jakeboggs/MTG-Eval)
- **Training Code:** [GitHub Repository](https://github.com/JakeBoggs/Large-Language-Models-for-Magic-the-Gathering)
- **Blog Post**: [boggs.tech](https://boggs.tech/posts/large-language-models-for-magic-the-gathering/)