# 0.2.0

## Release Information

- OS & Framework support - Tested with the following configurations:

> 
> 
> - Non-Gen AI:
> 
> 
> 
> > 
> > 
> > - Frameworks: ONNX, TFLite, Pytorch
> >         - Host Platforms: Linux-x86\_64 (Ubuntu 22.04), Windows-x86\_64 (10+), Windows-arm64 (10+)
> >         - Target Platforms: Linux-x86\_64 (Ubuntu 22.04), Linux-aarch\_64 (Ubuntu 22.04), Windows-arm64 (10+), Android-arm64, QNX
>     - Gen AI:
> 
> 
> 
> > 
> > 
> > - Frameworks: ONNX, GGUF
> >         - Host Platforms: Linux-x86\_64 (Ubuntu 22.04)
> >         - Target Platforms: Windows-arm64 (10+), Android-arm64
- QAIRT SDK - Tested with version (Default: 2.40.0)

Note

For QAIRT, SDK other supported SDK versions can be listed using `qairt-vm fetch --list`.

## Highlights

- Default QAIRT SDK updated to 2.40.0
- Using 2.40.0 QAIRT SDK adds the following features with QAIRT Dev Python APIs

> 
> 
> - OE Linux support (Linux-aarch64 platforms)
> 
> 
> 
> > 
> > 
> > - Ability to execute models (native or remote) on OE Linux platforms
> >         - See [Mobilenet V2 Remote Inference on arm-linux](https://docs.qualcomm.com/doc/80-87189-2/topic/remote_inference.html#remote-inference-oelinux) and [ResNet50 Native Inference on arm-linux](https://docs.qualcomm.com/doc/80-87189-2/topic/native_inference.html#native-inference-oelinux) for more details
>     - Low-Rank Adaptation (LoRA) support
> 
> 
> 
> > 
> > 
> > - Ability to define and manage LoRA adapters for parameter-efficient fine-tuning of GenAI models
> >         - See [Low-Rank Adaptation (LoRA) Tutorial](https://docs.qualcomm.com/doc/80-87189-2/topic/lora_tutorial.html#lora-tutorial) for more details

## Known Issues

> 
> 
> - With 2.40.0, Gen AI execution is not functional with the CPU backend on Android

Last Published: Aug 19, 2026

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