---
pipeline_tag: text-generation
tags:
- NPU
---
# 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  
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 **dev@nexa.ai**.

## References
📰 [Phi-4-mini Microsoft Blog](https://aka.ms/phi4-feb2025) <br>
📖 [Phi-4-mini Technical Report](https://aka.ms/phi-4-multimodal/techreport) <br>
👩‍🍳 [Phi Cookbook](https://github.com/microsoft/PhiCookBook) <br>
🚀 [Model paper](https://huggingface.co/papers/2503.01743)