Ultralytics · First MLX build 10 Apr 2026
YOLO26
MLX
Vision agpl-3.0
A object detection model from Ultralytics, with 5 MLX builds at 6-bit.
- Parameters
- — Not published
- Quantisation
- 6-bit YOLO26x-OptiQ-6bit
- Memory needed
- — GB Estimate, unified memory
- Download
- — Weights, estimated
- Downloads
- 177 This build, last 30 days
- Task
- Object detection Vision
- MLX builds
- 5 On mlx-community
- Devices
- Mac Apple silicon
Memory
Hugging Face does not list a weights size for this build, so there is no memory estimate.
Estimated from the size of the weights, plus a fifth for context and working memory and 2 GB for macOS and your apps. Long contexts need more.
Run it
Terminal · Hugging Face CLI$ pip install -U huggingface_hub
$ hf download mlx-community/YOLO26x-OptiQ-6bitMLX builds
5 on mlx-community| YOLO26x-OptiQ-6bit | 6-bit | — | — | 177 |
|---|---|---|---|---|
| YOLO26n-OptiQ-6bit | 6-bit | — | — | 58 |
| YOLO26m-OptiQ-6bit | 6-bit | — | — | 37 |
| YOLO26l-OptiQ-6bit | 6-bit | — | — | 29 |
| YOLO26s-OptiQ-6bit | 6-bit | — | — | 24 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.