| | --- |
| | pipeline_tag: text-generation |
| | tags: |
| | - NPU |
| | --- |
| | # Granite-4.0-Micro |
| | Run **Granite-4.0-Micro** optimized for **Qualcomm NPUs** with [nexaSDK](https://sdk.nexa.ai) on Android. |
| |
|
| | ## 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**. |
