# New Release: Ultralytics v8.4.188

**URL:** <https://community.ultralytics.com/t/new-release-ultralytics-v8-4-188/2280>\
**Category:** Discussion\
**Tags:** releases, announcements, ultralytics-official\
**Created:** [October 25, 2026, 1:07pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-4-188/2280 "2026-10-25T13:07:29Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![glenn-jocher](https://sea1.discourse-cdn.com/flex001/user_avatar/community.ultralytics.com/glenn-jocher/32/83_2.png) [@glenn-jocher](https://community.ultralytics.com/u/glenn-jocher)\
**Post date:** [October 25, 2026, 1:07pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-4-188/2280/1 "2026-10-25T13:07:29Z")

</div>

# 🚀 Ultralytics v8.4.188: Smoother Android Deployment and Leaner Depth Exports

**Ultralytics YOLO v8.4.188 is here!** This release improves Android QNN model loading, removes an unnecessary operation from non-LiteRT depth exports, and refreshes the LiteRT export toolchain. These are **export and deployment improvements** —model architectures and weights are unchanged.

## 📱 Android QNN Fixes and Depth Export Improvements

The changes in [PR #26872 by @glenn-jocher](https://github.com/ultralytics/ultralytics/pull/26872) address two deployment pain points:

- **More compatible Android QNN exports:** Input and output quantization now stay inside the QNN context, avoiding an `io_name_overrides` attribute that newer export tools can add but Android’s built-in QNN Execution Provider cannot read. This should resolve loading issues for affected models, including in apps using the Ultralytics Flutter plugin.
- **Leaner depth exports outside LiteRT:** The export-only ReLU is now limited to LiteRT, where it remains a workaround for an Intel NPU compiler issue. QNN and other export formats avoid that extra operation, potentially improving runtime efficiency.

## 📦 Updated LiteRT Toolchain and Export Docker Image

The updates in [PR #26869 by @glenn-jocher](https://github.com/ultralytics/ultralytics/pull/26869) bring the LiteRT export dependencies in line with current mobile NPU runtimes:

- `litert-torch >= 0.10.0`
- `ai-edge-litert >= 2.3.0`
- `ai-edge-quantizer >= 0.10.0`

The **export Docker image** now installs the full export dependency set, including LiteRT support. These updates can improve export compatibility for supported devices.

## 🛠 Try It and Share Your Feedback

Upgrade to the release with:

```bash
pip install --upgrade ultralytics==8.4.188

```

Check the [v8.4.188 release notes](https://github.com/ultralytics/ultralytics/releases/tag/v8.4.188) for the release details, or browse the [full changelog](https://github.com/ultralytics/ultralytics/compare/v8.4.187...v8.4.188) to review the changes.

**Working with Android QNN, LiteRT, or depth models?** Give this release a try and let us know how it performs. Share your device, export format, and results below—your feedback helps improve deployment for everyone! 🙌