# New Release: Ultralytics v8.3.202

**URL:** <https://community.ultralytics.com/t/new-release-ultralytics-v8-3-202/1470>\
**Category:** Discussion\
**Tags:** ultralytics-official, releases, announcements\
**Created:** [September 18, 2025, 1:12pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-202/1470 "2025-09-18T13:12:27Z")\
**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:** [September 18, 2025, 1:12pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-202/1470/1 "2025-09-18T13:12:27Z")

</div>

# Ultralytics v8.3.202 is out 🎉 Leaner and more accurate TFLite INT8, smoother tuning, steadier CI

Quick summary: v8.3.202 delivers a targeted upgrade to TFLite INT8 export with a per-channel quantization fix and smaller artifacts, plus robustness improvements to the distributed Tuner and more reliable CI on macOS. This is a great release for anyone exporting YOLO11 to edge devices. 🚀

## Highlights

- TFLite INT8 per-channel quantization is fixed and now preferred for convolution-heavy models like YOLO11.
- INT8 exports are significantly slimmer by disabling `batchmatmul_unfold` for INT8 paths.
- Distributed Tuner starts immediately when the MongoDB collection exists, improving multi-worker workflows.
- CI builds stabilize by pinning the macOS runner to a specific image.

## New and Notable

- We resolved TFLite per-channel INT8 quantization accuracy and file size concerns in the detailed write-up from the TFLite per-channel INT8 quantization fix PR by [Y-T-G](https://github.com/Y-T-G), which also addresses [Issue #21030](https://github.com/ultralytics/ultralytics/issues/21030). You can review the implementation details in the linked PR: [TFLite per-channel INT8 quantization fix](https://github.com/ultralytics/ultralytics/pull/22133). 🔧
- Distributed hyperparameter tuning is more robust thanks to the Start distributed Tuner mutation if Mongo collection exists PR by [glenn-jocher](https://github.com/glenn-jocher), which you can read about in [Start distributed Tuner mutation if Mongo collection exists](https://github.com/ultralytics/ultralytics/pull/22120). 🤝
- CI reliability improved with a pinned runner as documented in the Update CI workflow to run on macOS 26 PR by [onuralpszr](https://github.com/onuralpszr); see the details in [Update CI workflow to run on macOS 26](https://github.com/ultralytics/ultralytics/pull/22119). 🧪

## Purpose and Impact

- Better INT8 accuracy for TFLite: per-channel quantization typically improves performance on convolution-heavy architectures like YOLO11. 📈
- Smaller and more deployable artifacts: disabling `batchmatmul_unfold` for INT8 prevents large integer\_quant files, making edge deployments lighter and faster to ship. 📦
- Faster iteration in large experiments: distributed Tuner starts immediately when the MongoDB collection exists, reducing orchestration friction. ⚙
- More reliable CI: consistent macOS builds help contributors iterate smoothly and users receive steadier releases. ✅

## How to Try the New INT8 Export

Upgrade first:

```bash
pip install -U ultralytics

```

Export a YOLO11 model to TFLite INT8 with the new behavior:

```python
from ultralytics import YOLO

model = YOLO("yolo11n.pt") # or your trained YOLO11 model
model.export(format="tflite", int8=True) # per-channel INT8 fix and leaner artifacts

```

If you’re new to exporting, you can find more options in the Export mode docs where we explain supported formats and arguments in the dedicated guide at [Ultralytics Export mode documentation](https://docs.ultralytics.com/modes/export/).

## Improvements

- INT8 per-channel quantization fix and artifact size reduction for TFLite exports.
- Distributed Tuner seeding behavior improved for existing-but-empty MongoDB collections.
- CI macOS runner pinned for consistency.

## Bug Fixes

- Addressed incorrect INT8 per-channel handling in TFLite that impacted accuracy and file size.

## Full Changelog and Release

You can browse all changes between v8.3.201 and v8.3.202 in the curated comparison at the page for the [full changelog from v8.3.201 to v8.3.202](https://github.com/ultralytics/ultralytics/compare/v8.3.201...v8.3.202), and you can find the packaged notes on the [Ultralytics v8.3.202 release page](https://github.com/ultralytics/ultralytics/releases/tag/v8.3.202).

## Call for Feedback

We’d love your feedback on TFLite INT8 exports and distributed tuning in real-world workloads. Share your experience in [Ultralytics Discussions](https://github.com/orgs/ultralytics/discussions), or report issues and requests by opening an item in [Ultralytics Issues](https://github.com/ultralytics/ultralytics/issues). Your insights help the community and the team make YOLO better for everyone. 🙏

Thanks to all contributors and users pushing these improvements forward, and we hope you enjoy v8.3.202!