UKPLab/Llama3-G2C
UKPLab/Llama3-G2C is a fine-tuned Llama-3-8B-Instruct model developed by UKPLab, specifically optimized for generating counselor responses in multi-turn mental health counseling dialogues. This model leverages the Graph2Counsel dataset, which consists of synthetic counseling sessions grounded in clinical practice guidelines. Its primary strength lies in producing natural, empathetic, and therapeutically aligned counselor utterances based on dialogue history and client profiles.
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UKPLab/Llama3-G2C: Specialized for Mental Health Counseling Dialogue
UKPLab/Llama3-G2C is a specialized language model built upon the Meta-Llama-3-8B-Instruct base model, fine-tuned by UKPLab. Its core purpose is to generate empathetic and therapeutically sound counselor responses within multi-turn mental health counseling dialogues.
Key Capabilities & Features
- Counselor Response Generation: Generates the next counselor turn based on dialogue history and a client profile.
- Therapeutic Adherence: Designed to produce responses that align with established psychological techniques and clinical practice guidelines.
- Contextual Understanding: Utilizes both the ongoing dialogue history and a detailed client profile to inform its responses.
- Fine-tuned on Graph2Counsel: Trained using the Graph2Counsel dataset, which comprises synthetic counseling sessions derived from real-world clinical guidelines.
- QLoRA Fine-tuning: Employs the QLoRA method for efficient fine-tuning.
Ideal Use Cases
- Mental Health Support Systems: Developing AI-assisted tools for counselors or therapeutic dialogue simulation.
- Research in AI for Mental Health: Investigating the application of large language models in therapeutic contexts.
- Educational Tools: Creating interactive scenarios for training aspiring counselors.
This model is specifically engineered to provide natural and empathetic counselor dialogue, making it a valuable asset for applications requiring nuanced and therapeutically grounded conversational AI in mental health.