README.md

# Qwen3-4B

## Quickstart

1. **Install [NexaSDK](https://github.com/NexaAI/nexa-sdk)**
2. Run the model with one line of code:

   ```bash
   nexa infer NexaAI/qwen3-4b-ane
   ```

## Model Description
**Qwen3-4B** is a 4-billion-parameter general-purpose language model from Alibaba Cloud’s Qwen team.  
It balances strong reasoning, multilingual understanding, and efficient deployment, making it suitable for on-device and server environments alike.

Trained on a large, diverse corpus, Qwen3-4B supports dialogue, analysis, and content generation with solid performance at a compact scale.

## Features
- **Conversational AI**: context-aware dialogue and assistant-style responses.  
- **Content generation**: articles, summaries, marketing content, lightweight code generation.  
- **Reasoning & analysis**: step-by-step problem solving and structured explanations.  
- **Multilingual**: robust support across major languages.  
- **Fine-tunable**: efficient to adapt for domain-specific workloads.

## Use Cases
- Chatbots and support assistants  
- Multilingual content workflows  
- Document summarization and extraction  
- Lightweight reasoning and analysis tasks  
- Custom fine-tuned models for vertical domains

## Inputs and Outputs
**Input**  
- Text prompts or chat histories (tokenized sequences when used via APIs)

**Output**  
- Generated text (answers, explanations, creative content)  
- Optional logits/probabilities for advanced use cases

## License
This repo is licensed under the Creative Commons Attribution–NonCommercial 4.0 (CC BY-NC 4.0) license, which allows use, sharing, and modification only for non-commercial purposes with proper attribution. All NPU-related models, runtimes, and code in this project are protected under this non-commercial license and cannot be used in any commercial or revenue-generating applications. Commercial licensing or enterprise usage requires a separate agreement. For inquiries, please contact `dev@nexa.ai`.