v0.57.0

LICENSE

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+The license of the original trained model can be found at https://github.com/ibm-granite/granite-4.0-language-models/blob/main/LICENSE.

README.md

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+---
+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/v0.57.0/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/v0.57.0/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/v0.57.0/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

release_assets.json

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+{
+    "version": "0.57.0",
+    "precisions": {
+        "q4_0": {
+            "universal_assets": {
+                "geniex_llamacpp": {
+                    "download_url": "https://huggingface.co/unsloth/granite-4.0-h-micro-GGUF/resolve/main/granite-4.0-h-micro-Q4_0.gguf"
+                }
+            }
+        }
+    }
+}