psychologist_ai

🧠 Psychologist AI – LLaMA LoRA Fine‑Tuned Model

A conversational AI model specialized for psychological support & reflective dialogue.

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📌 Model Overview

Psychologist AI is a fine‑tuned LLaMA model designed to provide:

• Empathetic responses
• Emotionally supportive dialogue
• Reflective psychological insights
• Non‑judgmental conversation flow

⚠️ This model does not replace certified mental‑health professionals.
It is intended for research, experimentation, and supportive AI applications.

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🏗️ Architecture

• Base Model: LLaMA
• Fine‑Tuning Method: LoRA (Low‑Rank Adaptation)
• Training Framework: Unsloth
• Format: GGUF (efficient for local inference)
• Deployable With: Ollama, llama.cpp, Python (llama-cpp-python)

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🧪 Training Details

🎯 Objective

Develop a model capable of:

• empathetic listening
• emotional reflection
• soft, neutral assistance
• safe conversational behavior

📁 Dataset

Dialogue pairs simulating:

• therapist-style responses
• emotional support conversations
• neutral psychological guidance

No real user identities or clinical data were used.

⚙️ LoRA Training Notes

• Optimized for small GPUs
• Quantization: Q4_K_M
• Fast LoRA using Unsloth
• Supervised fine-tuning
• Safe-response prompting

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📂 Model Files

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🚀 How to Use

✅ 1. Using Ollama

Install Ollama: https://ollama.com/download

Run the model:

ollama pull ouchni/psychologist_ai
ollama run psychologist_ai

Or create manually:

ollama create psychologist_ai -f Modelfile.txt

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✅ 2. Using llama.cpp

./main -m psychologist_ai.gguf -p "Hi, I feel stressed and need emotional support."

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✅ 3. Python Inference

from llama_cpp import Llama

llm = Llama(model_path="psychologist_ai.gguf")

response = llm("Hello, I'm feeling overwhelmed today.")
print(response)

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⚠️ Safety & Ethical Notes

This model:

• ❌ Should NOT be used for clinical diagnosis
• ❌ Should NOT replace human therapists
• ❌ Should NOT be used in crisis situations

Allowed uses:

• ✔ Educational assistants
• ✔ AI chat experiments
• ✔ Empathy‑focused applications
• ✔ Mental‑health awareness projects

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📈 Performance

Optimized for:

• natural emotional tone
• safe and stable outputs
• low VRAM usage
• fast inference locally

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👨‍💻 Author

Ouchni Abdelmajid
Developer & AI Engineer
Morocco

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⭐ Support the Project

If you use this model, please:

• ⭐ Star the Hugging Face model
• ⭐ Cite the repository
• ⭐ Give credit: Model by ouchni

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🔗 Links

• Model Page: https://huggingface.co/ouchni/psychologist_ai
• GitHub Project: (add your GitHub link here)