ValheimAssistantV1-16bit

Valheim Assistant V1 - 16-bit Version

This is a fine-tuned version of the 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.

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Model Details

Summary

This model has been fine-tuned on Egrigor/ValheimTestData, which contains conversational-style question-and-answer pairs derived from Valheim community resources.

• Base Model: Unsloth Phi-3.5-mini-instruct
• Language: English
• License: Apache-2.0
• Fine-Tuning Framework: Unsloth
• Training Precision: 16-bit
• Dataset: Egrigor/ValheimTestData

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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!