Add model card

README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- medical
+- clinical
+- mistral
+- gguf
+- unsloth
+- lora
+base_model: mistralai/Mistral-Nemo-Base-2407
+---
+
+# 🩺 Rapha — Clinical AI Physician Assistant (GGUF)
+
+**Rapha** is a clinical AI assistant fine-tuned on **Mistral-Nemo-12B** using Unsloth.  
+It performs forward-chaining medical reasoning — gathering symptoms conversationally,  
+reasoning step by step, and escalating structured findings to a physician.
+
+> ⚠️ Rapha is a research prototype. It does not diagnose. All outputs must be reviewed by a qualified medical professional.
+
+---
+
+## 🚀 Quickstart
+
+### Ollama
+```bash
+ollama run hf.co/Phora68/rapha
+```
+
+### llama.cpp
+```bash
+./llama-cli -m rapha-q4_k_m.gguf \
+  --chat-template mistral \
+  -p "I've been having chest pain and shortness of breath for two days." \
+  -n 512
+```
+
+### Python (llama-cpp-python)
+```python
+from llama_cpp import Llama
+
+llm = Llama(
+    model_path = "rapha-q4_k_m.gguf",
+    n_ctx      = 2048,
+    n_gpu_layers = -1,   # use all GPU layers
+)
+
+response = llm.create_chat_completion(messages=[
+    {"role": "user", "content": "I've had a persistent headache for three days and I'm really worried."}
+])
+print(response["choices"][0]["message"]["content"])
+```
+
+---
+
+## 📊 Model Details
+
+| Property | Value |
+|---|---|
+| **Base model** | `mistralai/Mistral-Nemo-Base-2407` |
+| **Fine-tuning** | QLoRA (r=64, α=16) via Unsloth |
+| **Quantisation** | Q4_K_M |
+| **Context length** | 2048 tokens |
+| **Training format** | ShareGPT |
+| **Chat template** | Mistral `[INST]` |
+| **Domain** | Clinical / Medical triage |
+| **Dataset** | 200,000 samples (170k train / 20k val / 10k test) |
+
+---
+
+## ⚠️ Limitations
+
+- Not a medical device
+- Does not provide diagnoses
+- Must be reviewed by a qualified clinician
+- Not validated for clinical deployment