# New Release: Ultralytics v8.3.179

**URL:** <https://community.ultralytics.com/t/new-release-ultralytics-v8-3-179/1349>\
**Category:** Discussion\
**Tags:** releases, announcements, ultralytics-official\
**Created:** [August 14, 2025, 1:15pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-179/1349 "2025-08-14T13:15:51Z")\
**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:** [August 14, 2025, 1:15pm UTC](https://community.ultralytics.com/t/new-release-ultralytics-v8-3-179/1349/1 "2025-08-14T13:15:52Z")

</div>

Title: Ultralytics v8.3.179 — Stability Patch: Reliable Exports, Leaner Docker, YOLOE Usability Boost

Summary  
A stability-focused release that pins TensorFlow for reliable exports, delivers export-optimized Docker images, improves YOLOE/World class handling, and tightens CI for fewer flaky runs. If you export to TensorFlow, please align your environment with tensorflow\<=2.19.0 and numpy\<2.0.0.

What’s New in v8.3.179

- Export Reliability

- CI and Workflows

- Docker Improvements

- YOLOE/World Usability

- Developer Quality-of-Life

New Features

- Export-ready Docker image and pipeline alignment for reproducible, fast exports across TF, ONNX, CoreML, OpenVINO, and TF.js.

Improvements

- More dependable exports through pinned dependency versions.
- Smaller, cleaner Docker images with clearer separation of concerns.
- Easier YOLOE/World class handling via CLI strings and auto-embeddings.
- Reduced CI flakiness and improved SBOM accuracy.

Bug Fixes

- Addressed TF export breakages by pinning tensorflow\<=2.19.0 and numpy\<2.0.0.
- Fixed spacing in yolo checks output for cleaner logs.

Purpose & Impact

- Dependable exports across multiple backends.
- Faster and more reproducible Docker-based workflows.
- Lower barrier to zero-shot and custom-class experiments with YOLOE/World.
- Reduced CI noise and costs, with GPU runs still available on demand.
- Better supply-chain transparency and simpler dev setup.

Pull Requests and Authors

- SBOM uv sync fix by @glenn-jocher — SBOM accuracy improvement  
PR: SBOM uv sync fix
- Use apt-get clean in Dockerfiles by @glenn-jocher — Leaner Docker images  
PR: Use apt-get clean in Dockerfiles
- YOLOE: Simplify set\_classes and support text prompt CLI usage by @RizwanMunawar — Easier class handling  
PR: YOLOE: Simplify set\_classes and support text prompt CLI usage
- chore: remove click version lock as 8.2.2 was yanked by @onuralpszr — Dependency stability  
PR: remove click version lock as 8.2.2 was yanked
- FROM pytorch/pytorch:2.8.0-cuda12.8-cudnn9-runtime by @glenn-jocher — Upgraded base image  
PR: FROM pytorch/pytorch:2.8.0-cuda12.8-cudnn9-runtime
- Disable GPU CI for server upgrades by @glenn-jocher — CI stabilization  
PR: Disable GPU CI for server upgrades
- Fix yolo checks spacing by @glenn-jocher — Log readability  
PR: Fix yolo checks spacing
- ultralytics 8.3.179 Pin tensorflow\<=2.19.0 for exports by @glenn-jocher — Export reliability  
PR: ultralytics 8.3.179 Pin tensorflow\<=2.19.0 for exports

Links

- Release notes: Ultralytics v8.3.179
- Full changelog: Compare v8.3.178…v8.3.179

Getting Started

- Upgrade: pip install -U ultralytics
- Tip for TensorFlow exports: ensure tensorflow\<=2.19.0 and numpy\<2.0.0 to match this release.
- Try the new export-ready Docker images for faster, reproducible pipelines.

We’d love your feedback  
Please try v8.3.179 and let us know how it works for your workflows—especially exports and YOLOE/World class prompts. Your input helps us keep YOLO fast, stable, and easy to use for everyone.

Thanks to our contributors and the YOLO community for helping make this release happen!