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README.md

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+base_model:
+- ibm-granite/granite-4.0-h-350m
+---
+# Granite-4.0-h-350M
+
+<p align="center">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/6851901ea43b4824f79e27a9/vBAkkCukOQ3CHlT2GBwvI.png" width="350" height="350">
+</p>
+
+Run **Granite-4.0-h-350M** optimized for **Qualcomm Hexagon NPUs** with [NexaSDK](https://sdk.nexa.ai) on Android
+
+## Model Description
+**Granite-4.0-h-350M** is a 350-million-parameter transformer model from IBM’s Granite 4.0 family — designed for efficient inference, low-latency edge deployment, and instruction following at compact scale.  
+It shares the same data quality, architecture design, and alignment pipeline as larger Granite 4.0 models but is optimized for lightweight environments where performance per watt and model size are critical.
+
+Built on the **Granite 4.0** foundation, this model continues IBM’s commitment to open, responsible AI, offering transparency and adaptability for developers, researchers, and embedded AI applications.
+
+## Features
+- **Compact yet capable**: Delivers high-quality generation and reasoning with just 350M parameters.  
+- **Instruction-tuned**: Follows natural language instructions for diverse tasks.  
+- **Low-latency performance**: Ideal for CPU, GPU, and NPU inference.  
+- **Efficient deployment**: Runs smoothly on edge and resource-constrained devices.  
+- **Open and transparent**: Released under IBM’s open model governance framework.
+
+## Use Cases
+- On-device assistants and chatbots  
+- Edge AI and IoT inference  
+- Document and text summarization  
+- Education and lightweight reasoning tasks  
+- Prototype fine-tuning for domain adaptation  
+
+## Inputs and Outputs
+**Input**:  
+- Text prompt (instruction or question)
+
+**Output**:  
+- Generated text response completing or following the input prompt
+
+## License
+This model is released under the **Creative Commons Attribution–NonCommercial 4.0 (CC BY-NC 4.0)** license.  
+Non-commercial use, modification, and redistribution are permitted with attribution.  
+For commercial licensing, please contact **[email protected]**.