---
library_name: transformers
tags:
- unsloth
- fine-tuning
- valheim
datasets:
- Egrigor/ValheimTestData
base_model:
- unsloth/Phi-3.5-mini-instruct
license: apache-2.0
---

# Valheim Assistant V1 - 16-bit Version

This is a fine-tuned version of the [Unsloth Phi-3.5-mini-instruct](https://huggingface.co/unsloth/Phi-3.5-mini-instruct) model. It is designed to provide conversational assistance for the game **Valheim**, covering gameplay mechanics, lore, and in-game strategies.

This model is part of an ongoing **hobbyist project**, created by a novice enthusiast exploring fine-tuning techniques. While the dataset and model may have limitations, this project aims to improve over time through community feedback and iteration.

---

## Model Details

### Summary
This model has been fine-tuned on [Egrigor/ValheimTestData](https://huggingface.co/datasets/Egrigor/ValheimTestData), which contains conversational-style question-and-answer pairs derived from Valheim community resources. 

- **Base Model**: [Unsloth Phi-3.5-mini-instruct](https://huggingface.co/unsloth/Phi-3.5-mini-instruct)
- **Language**: English
- **License**: Apache-2.0
- **Fine-Tuning Framework**: Unsloth
- **Training Precision**: 16-bit
- **Dataset**: [Egrigor/ValheimTestData](https://huggingface.co/datasets/Egrigor/ValheimTestData)

---

## How to Use

To load and interact with the model, use the following code:

from unsloth import FastLanguageModel
from transformers import AutoTokenizer

# Load model and tokenizer
model = FastLanguageModel.from_pretrained("Egrigor/ValheimAssistantV1-16bit")
tokenizer = AutoTokenizer.from_pretrained("Egrigor/ValheimAssistantV1-16bit")

# Prepare input and generate output
inputs = tokenizer("How do I build a crafting station?", return_tensors="pt")
outputs = model.generate(**inputs, max_length=100)

# Decode and print the output
print(tokenizer.decode(outputs[0], skip_special_tokens=True))



## Training Details



Framework: Unsloth

Batch Size per Device: 2

Gradient Accumulation Steps: 4

Learning Rate: 2e-4

Total Training Steps: 60

Training Time: ~3.5 minutes


## Dataset

The dataset consists of gameplay tips, lore insights, and strategic guidance, formatted into conversational question-and-answer pairs.

Note: As this dataset was semi-automatically generated from community resources, it may contain inaccuracies or gaps. Feedback is welcome for future improvements.


## Limitations and Future Work

Dataset Gaps: The dataset may not fully cover Valheims gameplay and lore, and some responses may be incomplete or inaccurate.

Generalization: This model is focused solely on Valheim-related content and may not perform well in other contexts.

Iterative Improvement: Future versions will refine the dataset and model based on testing and community feedback.


## Contact and Feedback

This is an experimental project created by a novice AI enthusiast. Feedback, suggestions, and collaborations are highly welcome! Feel free to reach out via Hugging Face.

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Let me know if there’s anything specific you’d like to tweak or emphasize!