Granite-4-Micro-ANE / README.md
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---
pipeline_tag: text-generation
---
# Granite-4.0-Micro
Run **Granite-4.0-Micro** optimized for **Apple NPU**
## Quickstart
1. **Install [NexaSDK](https://github.com/NexaAI/nexa-sdk#:~:text=arm64%20for%20Apple%20Neural%20Engine)**
2. After you install the SDK, then run the model with one line of code:
```bash
nexa infer NexaAI/Granite-4-Micro-ANE
```
## Model Description
**Granite-4.0-Micro** is a 3B parameter instruction-tuned model in the Granite 4.0 family, developed by IBM.
It’s optimized for **long-context reasoning (128K tokens)**, efficient inference, and enterprise-ready capabilities such as tool calling and retrieval-augmented generation. The model balances compact size with strong performance across general NLP tasks, making it suitable for both experimentation and production workloads.
## Features
- **Compact transformer architecture**: 3B parameters with GQA, RoPE, SwiGLU, and RMSNorm layers.
- **Instruction-following & tool calling**: Tuned with supervised finetuning, alignment (RLHF), and model merging for robust enterprise tasks.
- **Multilingual support**: Covers 12+ languages including English, German, Spanish, French, Japanese, Korean, Arabic, and Chinese.
- **Extended context window**: Supports sequences up to **128K tokens** for long-form reasoning.
## Use Cases
- Conversational AI and virtual assistants.
- Enterprise applications needing **tool/API calling** and structured outputs.
- Long-document summarization, classification, and extraction.
- Retrieval-augmented generation (RAG) for knowledge-intensive workflows.
- Lightweight coding assistants and multilingual dialog systems.
## Inputs and Outputs
**Input**: Natural language text prompts, chat conversations, or tool-augmented requests.
**Output**: Natural language responses—answers, explanations, summaries, structured JSON for function calls, or code snippets.
## 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**.