README.md

---
library_name: transformers
license: mit
datasets:
- mrs83/kurtis_mental_health_dpo
language:
- en
base_model:
- ethicalabs/Kurtis-Qwen2.5-0.5B-Instruct
pipeline_tag: text-generation
tags:
- text-generation-inference
---

**⚠️ Disclaimer: Model Limitations & Retraining Plans**  

While this experiment aimed to explore the feasibility of **small, local AI assistants**, the current model struggles with **generalization** and often reinforces patterns from training data rather than adapting dynamically.  

To address this, we will **repeat the fine-tuning process**, refining the dataset and training approach to improve **response accuracy and adaptability**.

The goal remains the same: **a reliable, privacy-first AI assistant that runs locally on edge devices.**  

**Stay tuned for updates as we iterate and improve!** 🚀

# Model Card for Kurtis

Kurtis is a mental-health AI assistant designed with empathy at its core.

Unlike other AI models that aim for peak efficiency, Kurtis prioritizes understanding, emotional nuance, and meaningful conversations.

It won’t solve complex math problems or write code, nor will it generate images or videos.

Instead, Kurtis focuses on being a thoughtful companion, offering support, perspective, and human-like dialogue.

It doesn’t strive to break records or chase artificial intelligence supremacy—its goal is to create a space for genuine interaction.

Whether you need someone to talk to, reflect on ideas with, or engage in insightful discussion, Kurtis is there to listen and respond in an understanding way.