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README.md

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+# Phi-4-mini
+
+Run **Phi-4-mini** optimized for **Qualcomm 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/phi4-mini-npu-turbo
+   ```
+
+## Model Description
+
+**Phi-4-mini** is a \~3.8B-parameter instruction-tuned model from Microsoft’s Phi-4 family.
+Trained on a blend of synthetic “textbook-style” data, filtered public web content, curated books/Q\&A, and high-quality supervised chat data, it emphasizes **reasoning-dense** capabilities while maintaining a compact footprint. This NPU **Turbo** build uses Nexa’s Qualcomm backend (QNN/Hexagon) to deliver **lower latency** and **higher throughput** on-device, with support for **128K context** and efficient long-context memory handling.
+
+## Features
+
+* **Lightweight yet capable**: strong reasoning (math/logic) in a compact 3.8B model.
+* **Instruction-following**: enhanced SFT + DPO alignment for reliable chat.
+* **Content generation**: drafting, completion, summarization, code comments, and more.
+* **Conversational AI**: context-aware assistants/agents with long-context support (128K).
+* **NPU-Turbo path**: INT8/INT4 quantization, op fusion, and KV-cache residency for Snapdragon® NPUs via nexaSDK.
+* **Customizable**: fine-tune/adapt for domain-specific or enterprise use.
+
+## Use Cases
+
+* Personal & enterprise chatbots
+* On-device/offline assistants (latency-bound scenarios)
+* Document/report/email summarization
+* Education, tutoring, and STEM reasoning tools
+* Vertical applications (e.g., healthcare, finance, legal) with appropriate safeguards
+
+## Inputs and Outputs
+
+**Input**:
+
+* Text prompts or conversation history (chat-format, tokenized sequences).
+
+**Output**:
+
+* Generated text: responses, explanations, or creative content.
+* Optionally: raw logits/probabilities for advanced downstream tasks.
+
+## License
+
+* Licensed under: [MIT License](https://huggingface.co/microsoft/phi-4/resolve/main/LICENSE)
+
+## References
+
+* 📰 Phi-4-mini Microsoft Blog
+* 📖 Phi-4-mini Technical Report
+* 👩‍🍳 Phi Cookbook
+* 🏡 Phi Portal
+* 🖥️ Try it on Azure, Hugging Face