# 0.10.1 ## 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, Ubuntu 24.04), Linux-aarch64 (Ubuntu 24.04, Python 3.12), Windows-x86\_64 (10+), Windows-arm64 (10+) > > - Target Platforms: Linux-x86\_64 (Ubuntu 22.04, Ubuntu 24.04), Linux-aarch64 (Ubuntu 24.04), Windows-arm64 (10+), Android-arm64, QNX > - Gen AI: > > > > > > > > > - Frameworks: ONNX, GGUF > > - Host Platforms: Linux-x86\_64 (Ubuntu 22.04, Ubuntu 24.04) > > - Target Platforms: Android-arm64, Linux-aarch64 - QAIRT SDK - Tested with version (2.47.0, 2.48.0 (Default), 2.49.0) Note For QAIRT SDK, other supported SDK versions can be listed using `qairt-vm fetch --list`. ## Resolved Issues - Fixed LoRA Gather activation-encoding injection incorrectly skipping embedding weights with a missing `bw` (bitwidth) key, which was silently treated as already HTP-legal (>=8-bit) and left unpatched, letting the converter bake in an unsupported sub-8-bit activation. Injection now correctly validates weight bitwidth before deciding whether to skip. - Fixed the ONNX framework utility packages being omitted from the `qairt-dev` wheel, causing `pip install qairt-dev` to be missing ONNX Model API support. Last Published: Aug 26, 2026 [Previous Topic Known Issues](https://docs.qualcomm.com/bundle/publicresource/80-87189-2/topics/0_10_0.md)