This model is a LoRA fine-tuned version of meta-llama/Llama-2-7b-chat-hf, designed to act as a supportive conversational assistant for mental health–related discussions.

The model was trained using Supervised Fine-Tuning (SFT) on publicly available mental health conversation datasets to improve empathy, conversational flow, and instruction-following behavior.
This project was developed strictly for academic and research purposes.

⚠️ This model is not a licensed medical professional and must not be used as a replacement for professional mental health care.

Model Details

Developed by: Yash
Funded by: Not funded (academic project)
Shared by: Yash
Model type: Large Language Model (LLM), conversational text generation
Language(s): English
License: LLaMA 2 Community License Agreement
Finetuned from model: meta-llama/Llama-2-7b-chat-hf

Model Sources

Base Model Repository: meta-llama/Llama-2-7b-chat-hf
Demo: Not provided
Paper: Not applicable

Uses

Direct Use

Academic research on conversational AI
Experimental mental health support chatbots
Studying empathetic response generation
NLP coursework and projects

Downstream Use

Further fine-tuning for domain-specific assistants
Integration into research prototypes with human oversight
Evaluation of conversational safety techniques

Out-of-Scope Use

❌ Medical diagnosis
❌ Therapy or psychiatric treatment
❌ Crisis intervention or suicide prevention
❌ Any real-world deployment without professional supervision

Bias, Risks, and Limitations

The model may generate inaccurate or incomplete information
Responses may reflect biases present in training data
The model cannot assess real mental health conditions
Risk of over-reliance if used without disclaimers
Not trained for emergency or crisis scenarios

Recommendations

Always include clear disclaimers when using this model
Use with human moderation
Do not deploy in clinical or high-risk environments
Encourage users to seek professional help when appropriate

How to Get Started with the Model

python

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

base_model = "meta-llama/Llama-2-7b-chat-hf"
adapter_model = "your-username/your-model-name"

tokenizer = AutoTokenizer.from_pretrained(base_model)
model = AutoModelForCausalLM.from_pretrained(
    base_model,
    device_map="auto"
)

model = PeftModel.from_pretrained(model, adapter_model)
model.eval()

Yash221203/Llama-2-7b-chat-hf-customMHByash

Model Card for Mental Health Chatbot (LoRA LLaMA-2-7B)

Model Description