UKPLab/Llama3-G2C
UKPLab/Llama3-G2C is an 8 billion parameter Llama 3-based instruction-tuned model developed by UKPLab, specifically fine-tuned for mental health counseling dialogue generation. It excels at producing empathetic and therapeutic counselor responses in multi-turn sessions, grounded in clinical practice guidelines. The model processes dialogue history and client profiles to generate contextually appropriate counselor turns, making it specialized for therapeutic conversational AI applications.
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Model Overview
UKPLab/Llama3-G2C is an 8 billion parameter language model developed by UKPLab, fine-tuned from meta-llama/Meta-Llama-3-8B-Instruct. Its primary function is to generate counselor responses within mental health counseling dialogues. This model is specifically designed to produce natural, empathetic, and therapeutically sound responses to client utterances, adhering to established psychological techniques.
Key Capabilities
- Specialized Dialogue Generation: Generates counselor turns in multi-turn therapeutic conversations.
- Contextual Understanding: Utilizes dialogue history and client profiles to inform response generation.
- Therapeutic Adherence: Responses are designed to be empathetic and grounded in clinical practice guidelines (CPGs).
- Instruction-Tuned: Built upon the Llama-3-8B-Instruct base model, enhancing its ability to follow specific counseling instructions.
Training and Methodology
The model was fine-tuned using QLoRA on the Graph2Counsel dataset. This dataset consists of synthetic counseling sessions derived from real sessions and grounded in CPGs, providing a robust foundation for therapeutic dialogue generation.
Good For
- Developing AI-powered tools for mental health support and counseling.
- Generating realistic and therapeutically appropriate counselor responses in simulated or assistive environments.
- Research into conversational AI for mental healthcare applications.