初始化项目，由ModelHub XC社区提供模型

Model: suvadeep29/Luna-4B-thinking
Source: Original Platform

README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- mental-health
+- psychiatry
+- psychology
+- qwen3
+- medical
+- therapy
+- gguf
+base_model: Qwen/Qwen3-4B-Thinking-2507
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+# 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)
+
+```python
+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