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--- |
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pipeline_tag: text-generation |
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tags: |
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- NPU |
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--- |
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# Granite-4.0-Micro |
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Run **Granite-4.0-Micro** optimized for **Qualcomm NPUs** with [nexaSDK](https://sdk.nexa.ai). |
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## Quickstart |
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1. **Install NexaSDK** and create a free account at [sdk.nexa.ai](https://sdk.nexa.ai) |
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2. **Activate your device** with your access token: |
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```bash |
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nexa config set license '<access_token>' |
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``` |
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3. Run the model on Qualcomm NPU in one line: |
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```bash |
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nexa infer NexaAI/Granite-4-Micro-NPU |
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``` |
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## Model Description |
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**Granite-4.0-Micro** is a 3B parameter instruction-tuned model in the Granite 4.0 family, developed by IBM. |
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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. |
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## Features |
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- **Compact transformer architecture**: 3B parameters with GQA, RoPE, SwiGLU, and RMSNorm layers. |
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- **Instruction-following & tool calling**: Tuned with supervised finetuning, alignment (RLHF), and model merging for robust enterprise tasks. |
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- **Multilingual support**: Covers 12+ languages including English, German, Spanish, French, Japanese, Korean, Arabic, and Chinese. |
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- **Extended context window**: Supports sequences up to **128K tokens** for long-form reasoning. |
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## Use Cases |
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- Conversational AI and virtual assistants. |
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- Enterprise applications needing **tool/API calling** and structured outputs. |
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- Long-document summarization, classification, and extraction. |
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- Retrieval-augmented generation (RAG) for knowledge-intensive workflows. |
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- Lightweight coding assistants and multilingual dialog systems. |
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## Inputs and Outputs |
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**Input**: Natural language text prompts, chat conversations, or tool-augmented requests. |
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**Output**: Natural language responses—answers, explanations, summaries, structured JSON for function calls, or code snippets. |
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## License |
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This model is released under the **Creative Commons Attribution–NonCommercial 4.0 (CC BY-NC 4.0)** license. |
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Non-commercial use, modification, and redistribution are permitted with attribution. |
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For commercial licensing, please contact **[email protected]**. |
