metadata
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 fine-tuning framework.
Model Details
- Base Model: 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:
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)