PsychoCounsel-Llama3-8B
| Property | Value |
|---|---|
| Base Model | meta-llama/Llama-3.1-8B-Instruct |
| Training Dataset | PsychoCounsel-Preference (36k pairs) |
| Model URL | Hugging Face |
What is PsychoCounsel-Llama3-8B?
PsychoCounsel-Llama3-8B is a specialized language model fine-tuned for psychological counseling applications. Built upon the Llama-3.1-8B-Instruct architecture, this model has been optimized using preference learning techniques on a carefully curated dataset of 36,000 high-quality preference comparison pairs that align with professional psychotherapist preferences.
Implementation Details
The model leverages preference learning methodology to enhance its therapeutic response capabilities. It was trained on the PsychoCounsel-Preference dataset, which contains expertly validated comparison pairs reflecting optimal therapeutic interactions.
- Based on Llama-3.1-8B-Instruct architecture
- Fine-tuned using preference learning techniques
- Trained on 36k professional-grade comparison pairs
- Maintains original Llama-3 usage pattern
Core Capabilities
- Achieves 87% win rate against GPT-4 in therapeutic response quality
- Specialized in psycho-counseling interactions
- Maintains professional therapeutic standards
- Generates contextually appropriate counseling responses
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its specialized training using preference learning on professional psychotherapist-aligned data, resulting in superior performance in counseling scenarios, even outperforming GPT-4 in therapeutic response quality.
Q: What are the recommended use cases?
This model is specifically designed for psychological counseling applications, therapeutic conversation assistance, and mental health support scenarios where professionally-aligned responses are crucial.
