HealthModel_Qwen2.5-0.5B-Instruct is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct, specifically trained to provide supportive and informative responses for mental health counseling conversations. This model is designed to assist users in seeking advice, coping strategies, and general guidance on mental well-being.
Fine-Tuning Details
This model has been further fine-tuned on the following datasets:
Amod/Mental Health Counseling Conversations: A dataset containing counseling conversations designed to support individuals struggling with mental health issues.
ZahrizhalAli/Mental Health Conversational Dataset: A dataset featuring mental health-related dialogues, aimed at enhancing conversational AI models for mental health support.
Model Usage
Loading the Model
To use the model, install transformers and torch if you haven’t already:
sh
1 pip install transformers torch
23 Then, load the model and tokenizer:
45 from transformers import AutoModelForCausalLM, AutoTokenizer
67 tokenizer = AutoTokenizer.from_pretrained("your-hf-username/HealthModel_Qwen2.5-0.5B-Instruct")
8 model = AutoModelForCausalLM.from_pretrained("your-hf-username/HealthModel_Qwen2.5-0.5B-Instruct")
Generating Responses
You can generate mental health counseling responses using:
messages = [
{"role": "system", "content": "You are a mental health counseling conversations agent, supporting and advising users on mental well-being."},
{"role": "user", "content": "I'm feeling very anxious lately. What can I do?"}
]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
This model is intended for research and mental health support applications. It can assist in providing general advice but is not a substitute for professional therapy. Users experiencing severe mental health issues should consult a licensed professional.
Limitations & Ethical Considerations
The model may not always provide accurate or appropriate advice for severe mental health concerns.
The responses are generated based on training data and may not fully reflect human-like empathy and understanding.
Users should verify critical advice with qualified professionals.
Acknowledgments
Special thanks to the creators of the datasets used in fine-tuning:
Amod
ZahrizhalAli
License
This model is released under the same licensing terms as the original Qwen2.5-0.5B-Instruct. Please refer to the original license for details.
