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license: other
license_name: upstream-terms-by-artifact
license_link: https://huggingface.co/HanzoHuang/YOLO-World-RKNN2/blob/main/LICENSES.md
pipeline_tag: object-detection
tags:
- rknn
- rk3576
- rk3588
---
# YOLO-World-RKNN2
> **Looking for Ultralytics RKNN exports?** Browse the [Ultralytics exports collection](https://huggingface.co/collections/HanzoHuang/ultralytics-rknn-exports-6af1d088ba04ccf2dcbf81c2).
YOLO-World builds from the Rockchip Model Zoo for **RK3576** and **RK3588**.
## Choose a model
Models are grouped by toolkit version, task, variant, chip, and precision:
```text
models/v<toolkit-version>/<task>/<variant>/<chip>/<precision>/
```
YOLO-World requires its paired CLIP text encoder and Rockchip’s demo.
## Toolkit versions
- [Toolkit 2.5.0 builds](tree/main/models/v2.5.0) use RKNN Toolkit2 2.5.0. Conversion receipts identify the source ONNX model and converter.
- [Toolkit 2.3.2 builds](tree/main/models/v2.3.2) were tested on their target board. Each conversion receipt identifies its source graph and compiler.
See [source and license notices](LICENSES.md) for provenance and applicable terms.
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