Create README.md

README.md

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+# Llama-3.2-3B
+Run **Llama-3.2-3B** optimized for **Intel NPUs** with [nexaSDK](https://sdk.nexa.ai).
+
+## Quickstart
+
+1. **Install nexaSDK** and create a free account at [sdk.nexa.ai](https://sdk.nexa.ai)
+2. **Activate your device** with your access token:
+
+   ```bash
+   nexa config set license '<access_token>'
+   ```
+3. Run the model on Qualcomm NPU in one line:
+
+   ```bash
+   nexa infer NexaAI/llama3.2-3B-intel-npu
+   ```
+   
+## Model Description
+**Llama-3.2-3B** is a compact member of the Llama 3.2 family, designed to provide strong general-purpose language modeling in a lightweight 3B parameter footprint.  
+It balances efficiency with capability, making it well-suited for edge devices, prototyping, and applications where latency and resource constraints are critical.
+
+## Features
+- **Lightweight architecture**: 3B parameters optimized for fast inference and low memory usage.  
+- **Instruction-following**: Tuned for prompts, Q&A, and step-by-step reasoning.  
+- **Multilingual capabilities**: Covers a wide range of global languages at smaller scale.  
+- **Deployment flexibility**: Runs efficiently on consumer hardware and server environments.
+
+## Use Cases
+- Conversational assistants and chatbots.  
+- Educational tools and lightweight tutoring systems.  
+- Prototyping and experimentation with large language models on limited resources.  
+- Applications where cost or latency is a priority over sheer scale.
+
+## Inputs and Outputs
+**Input**: Text prompts—questions, commands, or code snippets.  
+**Output**: Natural language responses including answers, explanations, or structured outputs.
+
+## License
+- Licensed under **Meta Llama 3.2 Community License**
+
+## References
+- Model card: [https://huggingface.co/meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B)