Update README.md
Browse filesDescription: Minerva-7B-instruct-FT-Empathy is a large language model based on the Minerva architecture, optimized to follow instructions and provide accurate and relevant responses. The model has been fine-tuned using the IDRE dataset, with a particular focus on the task of rephrasing to enhance empathy in its responses.
Features:
Architecture: Minerva 7B
Size: 7 billion parameters
Fine-tuning: IDRE dataset
Fine-tuning task: Rephrasing with increased empathy
Capabilities: Natural language understanding, text generation, question answering, sentence completion, and more.
Usage: Minerva-7B-instruct-FT-Empathy is ideal for applications requiring advanced natural language understanding and the ability to follow detailed instructions. Thanks to its fine-tuning for increased empathy, the model is particularly suited for chatbots, virtual assistants, and support systems that need to provide more human-like and compassionate responses.
Limitations: Like all language models, Minerva-7B-instruct-FT-Empathy may struggle with ambiguous questions or those outside the scope of its training dataset. It is important to monitor and evaluate the model's responses to ensure quality and relevance.
License: The model is released under the MIT.
Contact: For more information, questions, or support, contact simone.manai@unitn.it.