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  ![Model Icon](https://img.shields.io/badge/Home%20Assistant-Compatible-41BDF5) ![Phi-4](https://img.shields.io/badge/Base-Phi%204%20Mini-blue)
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- **HomePhi4_4B-FP16** is a fine-tuned version of Microsoft's [Phi-4 Mini](https://huggingface.co/microsoft/Phi-4-mini-instruct) (3.8B parameters), specifically optimized for controlling **Home Assistant** instances via natural language. The Lora adapter was then merged against the original FP16 model to create this instance.
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  It has been fine-tuned on the [acon96/Home-Assistant-Requests](https://huggingface.co/datasets/acon96/Home-Assistant-Requests) dataset to excel at interpreting user intent and generating accurate JSON function calls to control smart home devices (lights, fans, switches, etc.). This model is designed to be small enough to run locally on edge hardware (like an N100 or Raspberry Pi 5 with 8GB RAM) while maintaining high reasoning capabilities.
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  ![Model Icon](https://img.shields.io/badge/Home%20Assistant-Compatible-41BDF5) ![Phi-4](https://img.shields.io/badge/Base-Phi%204%20Mini-blue)
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+ **HomePhi4_4B-FP16** is a fine-tuned version of Microsoft's [Phi-4 Mini Reasoning](microsoft/Phi-4-mini-reasoning) (3.8B parameters), specifically optimized for controlling **Home Assistant** instances via natural language. The Lora adapter was then merged against the original FP16 model to create this instance.
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  It has been fine-tuned on the [acon96/Home-Assistant-Requests](https://huggingface.co/datasets/acon96/Home-Assistant-Requests) dataset to excel at interpreting user intent and generating accurate JSON function calls to control smart home devices (lights, fans, switches, etc.). This model is designed to be small enough to run locally on edge hardware (like an N100 or Raspberry Pi 5 with 8GB RAM) while maintaining high reasoning capabilities.
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