NarrativAIV2

This model is a fine-tuned version of the LLaMA 3.1 language model, specifically trained on a curated dataset of interactive roleplaying scenarios.

Model Description

• Base Model: LLaMA 3.1
• Training Data: A diverse dataset of 977 fictional scenarios featuring engaging characters in various settings, emphasizing emotional depth and complex interactions.
• Fine-tuning Method: This model was fine-tuned using supervised learning, focusing on continuing the given roleplay prompt in a consistent, immersive manner.

Limitations

• Bias: The model's responses may reflect biases present in the training data.
• Factual Accuracy: The model is not designed to provide factual information and may generate inaccurate statements.
• Repetitive Responses: Occasionally, the model may produce repetitive or predictable responses.

License

This model is released under the MIT license.