---
license: apache-2.0
language:
  - en
tags:
  - unsloth
  - gemma
  - conversational
  - dungeons-and-dragons
pipeline_tag: text-generation
base_model: unsloth/gemma-3-4b-it
model_type: gemma
---

# Gemma-3-DnD (fine-tuned)

This model is a Gemma 3.88B parameter model fine-tuned specifically on Dungeons & Dragons content, including the Basic Rules and the Curse of Strahd campaign, using the [Unsloth](https://unsloth.ai/) fine-tuning framework.

## Model Details
- **Base Model**: [Gemma-3-4b-it](https://huggingface.co/unsloth/gemma-3-4b-it)
- **Fine-tuning**: LoRA fine-tuning using Unsloth
- **Content**: D&D Basic Rules, Curse of Strahd, and related content.

## Usage Example

You can load the model easily with the Hugging Face Transformers library:

```python
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
import torch

model_name = "YFolla/gemma-3-dnd"
model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
tokenizer = AutoTokenizer.from_pretrained(model_name)

prompt = "What are the core mechanics of Dungeons & Dragons?"

inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
streamer = TextStreamer(tokenizer)

output = model.generate(**inputs, max_new_tokens=100, streamer=streamer)