# Tutorials

Note

To enable or configure logging for the tutorials below, see the Logging Configuration page.

## Core API Tutorials

This section contains tutorials that showcase how to use the Python API for non-Gen AI use cases.

The tutorials are split into two sections depending on your target platform.

### For Android devices

For android devices, please follow the sections below to learn how to execute and profile models with the Python API:

- Mobilenet V2 Inference on HTP
- Profiling Models with QAIRT Visualizer

In certain cases, additional inference performance improvements can be achieved by tuning the model. For more information on how to tune models,
please refer to the following section:

- Tuning Models

### For Windows on Snapdragon devices

For Windows on Snapdragon (WoS) devices, please follow the sections below to learn how to execute with the Python API:

- Mobilenet V2 Inference on HTP

### For OpenEmbedded-Linux (OE-Linux) devices

For OE-Linux IoT devices (Linux-aarch64 platforms e.g., QCS6490), please follow the sections below to learn how to execute models with the Python API:

- Mobilenet V2 Remote Inference on OE-Linux
- Native inference on OE-Linux

## Gen AI API Tutorials

This section contains tutorials that showcase how to use the Python API for Gen AI use cases.

### Android devices

For android devices, please follow the sections below to learn how to perform text generation with the Python API:

- LLM Inference on HTP
- GGUF Inference on HTP
- GGUF Calibration for Activation Encodings
- Low-Rank Adaptation (LoRA) Tutorial
- Speculative Decoding Tutorial

Last Published: May 26, 2026

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