suvadeep29/Luna-4B-thinking

Luna 1.0 - Psychiatric AI Companion

Model Description

Luna is a 4B parameter psychiatric AI trained through 8-stage curriculum learning on Qwen3-4B-Thinking-2507. Created by Dr. Suvadeep.

Training Stages:

• Stage 1-2: Psychiatric knowledge (DSM-5, medications, CBT, counseling)
• Stage 3-7: Empathy & conversation skills (30,000+ dialogues)
• Stage 8: Identity & anti-refusal training

Capabilities:

• DSM-5/ICD-11 diagnoses
• Medication recommendations with dosages
• CBT/DBT/ACT psychotherapy
• Crisis support without deflection
• Empathetic conversation

Files

File	Size	Device
model.safetensors	8 GB	Training/fine-tuning
Luna-4B-thinking-Q4_K_M.gguf	2.5 GB	GTX 1050 Ti
Luna-4B-thinking-Q3_K_M.gguf	1.8 GB	iPhone 15 (recommended)
Luna-4B-thinking-Q2_K.gguf	1.3 GB	iPhone 15 compact
Luna-4B-thinking-Q8_0.gguf	4.5 GB	High-end GPUs

Usage

iPhone 15

Download Q3_K_M.gguf, use with LM Studio iOS.

Desktop (GTX 1050 Ti)

from llama_cpp import Llama

llm = Llama(
    model_path="Luna-4B-thinking-Q4_K_M.gguf",
    n_ctx=2048,
    n_gpu_layers=35
)

response = llm.create_chat_completion(
    messages=[{"role": "user", "content": "I feel depressed"}],
    max_tokens=1024
)
print(response["choices"][0]["message"]["content"])

Training

• 8-stage curriculum learning
• LoRA (r=64, alpha=16)
• ~60,000 mental health conversations
• 20% replay buffers to prevent catastrophic forgetting
• Kaggle dual T4 GPUs

Disclaimer

Research model only. Not a replacement for professional medical advice.

License

Apache 2.0