# ORA Training Environment

This directory contains the scripts and configuration for Fine-Tuning a custom LLM (e.g., Llama 3) for the ORA Spiritual Assistant.

## Prerequisites
-   Python 3.10+
-   CUDA-capable GPU (NVIDIA) or Mac with M-series chip
-   Ollama (for local testing)

## Setup
1.  Create a virtual environment:
    ```bash
    python -m venv venv
    source venv/bin/activate # or venv\Scripts\activate on Windows
    ```
2.  Install dependencies:
    ```bash
    pip install -r requirements.txt
    ```

## Workflow
1.  **Prepare Data**: Place your data (JSONL format) in `data/`.
2.  **Fine-Tune**: Run the training script (coming soon).
3.  **Export**: Convert LoRA adapters to GGUF format.
4.  **Serve**: Load into Ollama.