Create README.md

README.md

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+---
+language:
+- en
+license: apache-2.0
+base_model: tinyllama/tinyllama-1.1b-chat-v1.0 # Or smollm/smollm2-1.7b
+tags:
+- medical-assistant
+- lora
+- quantized
+- edge-ai
+- health-tech
+library_name: peft
+pipeline_tag: text-generation
+---
+
+# Model Card for Klara-LLM-v1
+
+Klara-LLM-v1 is a lightweight, fine-tuned Large Language Model designed to act as the cognitive core for a smart health monitoring system. It translates physiological sensor data and crisis predictions into actionable, human-readable medical advice.
+
+## Model Details
+
+### Model Description
+
+This model is a specialized version of a small-parameter LLM (e.g., TinyLlama/SmolLM2), fine-tuned using **LoRA (Low-Rank Adaptation)**. It is specifically optimized for local deployment on edge hardware to ensure user data privacy and low-latency responses.
+
+- **Developed by:** Koussay Chaanbi
+- **Project Name:** Klara (formerly Lyna.ai)
+- **Model type:** Fine-tuned Causal Language Model
+- **Fine-tuning Technique:** LoRA / QLoRA
+- **Base Model:** TinyLlama-1.1B or SmolLM2-1.7B
+- **Persona:** A professional, empathetic medical assistant programmed to assist users in interpreting health metrics and managing medical crises.
+
+### Model Sources
+
+- **Repository:** [Klara-Project on Hugging Face](https://huggingface.co/Koussay/Klara-LLM-v1)
+- **Deployment Platform:** Raspberry Pi 4/5 via Ollama or Llama.cpp
+
+## Uses
+
+### Direct Use
+
+The model is designed to:
+1. Provide context-aware medical explanations based on sensor inputs (HR, SpO2).
+2. Offer immediate guidance when a medical crisis is detected by the companion CNN-BiLSTM model.
+3. Answer user queries regarding physiological health trends.
+
+### Out-of-Scope Use
+
+This model is not a licensed medical professional. It must not be used for life-critical decisions without human verification. It is intended for supportive health monitoring and research purposes within the Klara ecosystem.
+
+## Bias, Risks, and Limitations
+
+- **Medical Accuracy:** While fine-tuned on medical logic, the model may occasionally hallucinate or provide generalized advice.
+- **Hardware Constraints:** Being a small-parameter model, its reasoning depth is more limited compared to larger models like Llama-3 or GPT-4.
+- **Privacy:** Designed for local inference to mitigate the risks associated with transmitting sensitive health data to the cloud.
+
+## How to Get Started with the Model
+
+The model is typically served via **Ollama** or **Gemma.cpp**. You can interact with it using a structured system prompt:
+
+```text
+System Prompt:
+"You are Klara, a professional medical assistant created by Koussay Chaanbi. 
+Your goal is to monitor the user's health using sensor data and provide 
+clear, supportive advice during medical crises."