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--- |
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library_name: transformers |
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license: mit |
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datasets: |
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- mrs83/kurtis_mental_health_final |
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language: |
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- en |
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base_model: |
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- ethicalabs/Kurtis-SmolLM2-135M-Instruct |
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pipeline_tag: text-generation |
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--- |
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**⚠️ Disclaimer: Model Limitations & Retraining Plans** |
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The **DPO fine-tuned version** is currently **overfitting** to the provided dataset. |
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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. |
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To address this, we will **repeat the fine-tuning process**, refining the dataset and training approach to improve **response accuracy and adaptability**. |
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The goal remains the same: **a reliable, privacy-first AI assistant that runs locally on edge devices.** |
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**Stay tuned for updates as we iterate and improve!** 🚀 |
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# Model Card for Kurtis |
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Kurtis is a mental-health AI assistant designed with empathy at its core. |
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Unlike other AI models that aim for peak efficiency, Kurtis prioritizes understanding, emotional nuance, and meaningful conversations. |
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It won’t solve complex math problems or write code, nor will it generate images or videos. |
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Instead, Kurtis focuses on being a thoughtful companion, offering support, perspective, and human-like dialogue. |
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It doesn’t strive to break records or chase artificial intelligence supremacy—its goal is to create a space for genuine interaction. |
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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. |
