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.
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
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.
Let me know if there’s anything specific you’d like to tweak or emphasize!
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Model tree for Egrigor/ValheimAssistantV1-16bit
Base model
microsoft/Phi-3.5-mini-instruct