---
library_name: pytorch
license: other
tags:
- llm
- generative_ai
- android
pipeline_tag: text-generation

---

![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/granite_4_0_micro/web-assets/model_demo.png)

# Granite-4.0-Micro: Optimized for Qualcomm Devices

Granite 4.0 is a family of open language models from IBM designed for enterprise AI workloads including code generation, summarization, and retrieval-augmented generation.

This is based on the implementation of Granite-4.0-Micro found [here](https://huggingface.co/ibm-granite/granite-4.0-h-micro).
This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.57.1/src/qai_hub_models/models/granite_4_0_micro) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).

Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.

## Deploying Granite-4.0-Micro on-device

Follow the [GenieX quickstart](https://geniex.aihub.qualcomm.com/en/get-started/quickstart) to install GenieX and deploy the model on a target device.

## Getting Started
There are two ways to deploy this model on your device:

### Option 1: Download Pre-Exported Models

Below are pre-exported model assets ready for deployment.

| Runtime | Precision | Chipset | SDK Versions | Download |
|---|---|---|---|---|
| GENIEX_LLAMACPP | q4_0 | Universal |  | [Download](https://huggingface.co/unsloth/granite-4.0-h-micro-GGUF/resolve/main/granite-4.0-h-micro-Q4_0.gguf)

For more device-specific assets and performance metrics, visit **[Granite-4.0-Micro on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/granite_4_0_micro)**.


### Option 2: Export with Custom Configurations

Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.57.1/src/qai_hub_models/models/granite_4_0_micro) Python library to compile and export the model with your own:
- Custom weights (e.g., fine-tuned checkpoints)
- Custom input shapes
- Target device and runtime configurations

This option is ideal if you need to customize the model beyond the default configuration provided here.

See our repository for [Granite-4.0-Micro on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.57.1/src/qai_hub_models/models/granite_4_0_micro) for usage instructions.

## Model Details

**Model Type:** Model_use_case.text_generation

**Model Stats:**
- Model architecture: Mamba-2 Hybrid architecture combining State Space Model (SSM) layers with Attention layers for efficient long-context processing.
- Supported languages: English
- TTFT: Time To First Token is the time it takes to generate the first response token. This is expressed as a range because it varies based on the length of the prompt.
- Response Rate: Rate of response generation after the first response token.

## Performance Summary
| Model | Runtime | Precision | Chipset | Context Length | Response Rate (tokens per second) | Time To First Token (range, seconds)
|---|---|---|---|---|---|---
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® 8 Elite Gen 5 Mobile | 512 | 25.719503 | 0.8499905 - 3.399962
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® 8 Elite Gen 5 Mobile | 512 | 26.283972 | 0.8927765000000001 - 3.5711060000000003
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® 8 Elite Gen 5 Mobile | 512 | 16.840913 | 0.23313175 - 0.932527
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® 8 Elite Gen 5 Mobile | 4096 | 24.522214 | 1.1895051875 - 38.064166
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® 8 Elite Gen 5 Mobile | 4096 | 22.047256 | 1.4127757187499999 - 45.208822999999995
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® 8 Elite Gen 5 Mobile | 4096 | 15.315768 | 0.3090850625 - 9.890722
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® 8 Elite Mobile | 512 | 25.130048 | 0.9481944999999999 - 3.7927779999999998
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® 8 Elite Mobile | 512 | 26.288118 | 0.95749725 - 3.829989
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® 8 Elite Mobile | 512 | 15.760148 | 0.30860325 - 1.234413
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® 8 Elite Mobile | 4096 | 22.639083 | 1.1536551875 - 36.916966
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® 8 Elite Mobile | 4096 | 23.049816 | 1.22555709375 - 39.217827
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® 8 Elite Mobile | 4096 | 14.515548 | 0.36028896875 - 11.529247
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® X Elite | 512 | 17.843282 | 0.69928525 - 2.797141
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® X Elite | 512 | 13.447186 | 0.6960275 - 2.78411
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® X Elite | 512 | 11.275263 | 0.34302550000000004 - 1.3721020000000002
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® X Elite | 4096 | 25.288631 | 0.51570025 - 16.502408
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® X Elite | 4096 | 24.661293 | 0.54267315625 - 17.365541
| Granite-4.0-Micro | GENIEX_LLAMACPP | q4_0 | Snapdragon® X Elite | 4096 | 11.122384 | 0.37017084375000003 - 11.845467000000001

## License
* The license for the original implementation of Granite-4.0-Micro can be found
  [here](https://github.com/ibm-granite/granite-4.0-language-models/blob/main/LICENSE).

## References
* [Granite 4.0](https://www.ibm.com/granite/docs/models/granite)
* [Source Model Implementation](https://huggingface.co/ibm-granite/granite-4.0-h-micro)

## Community
* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
* For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).

## Usage and Limitations

This model may not be used for or in connection with any of the following applications:

- Accessing essential private and public services and benefits;
- Administration of justice and democratic processes;
- Assessing or recognizing the emotional state of a person;
- Biometric and biometrics-based systems, including categorization of persons based on sensitive characteristics;
- Education and vocational training;
- Employment and workers management;
- Exploitation of the vulnerabilities of persons resulting in harmful behavior;
- General purpose social scoring;
- Law enforcement;
- Management and operation of critical infrastructure;
- Migration, asylum and border control management;
- Predictive policing;
- Real-time remote biometric identification in public spaces;
- Recommender systems of social media platforms;
- Scraping of facial images (from the internet or otherwise); and/or
- Subliminal manipulation