vivirocks/Wayfair-Garage

Model Description

This model is a fine-tuned version of unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit, specifically tailored for mental health counseling tasks. It has been trained on the Amod/mental_health_counseling_conversations dataset for 10 epochs using two H100 GPUs.

Key Features

• Base Model: Utilizes the DeepSeek-R1 architecture, known for its powerful reasoning capabilities13.
• Distillation: Leverages knowledge distillation techniques to compress the larger DeepSeek-R1 model into a more efficient 8B parameter Llama-based version13.
• Quantization: Employs Unsloth's dynamic 4-bit quantization for reduced memory footprint and faster inference59.
• Domain Specialization: Fine-tuned on a dataset of mental health counseling conversations, enhancing its ability to understand and respond to mental health-related queries68.

Training Details

• Dataset: Amod/mental_health_counseling_conversations, containing 3,512 Q&A pairs from counseling platforms68.
• Training Duration: 10 epochs
• Hardware: Two H100 GPUs

Potential Applications

This model could be particularly useful for:

• Prototyping mental health chatbots
• Assisting in mental health research
• Providing initial screening or support in mental health contexts

Limitations and Ethical Considerations

While this model has been trained on mental health counseling data, it's crucial to note:

• It should not replace professional mental health care or diagnosis.
• The model may have biases or limitations based on its training data.
• Ethical use and privacy considerations are paramount when dealing with sensitive mental health information.