Instructions to use oliver0804/LocateAnything-3B-RK3588 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RKLLM
How to use oliver0804/LocateAnything-3B-RK3588 with RKLLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download NOTICE from oliver0804/LocateAnything-3B-RK3588: direct link, hf CLI and curl.
- Browser
- Download file 1.52 kB
-
https://huggingface.co/oliver0804/LocateAnything-3B-RK3588/resolve/main/NOTICE
- Command line
-
hf download hf://oliver0804/LocateAnything-3B-RK3588/NOTICE
-
curl -L -o NOTICE https://huggingface.co/oliver0804/LocateAnything-3B-RK3588/resolve/main/NOTICE
1.52 kB
| This repository contains files converted from nvidia/LocateAnything-3B (https://huggingface.co/nvidia/LocateAnything-3B). | |
| LocateAnything-3B is Copyright (c) 2026, NVIDIA CORPORATION, and is licensed under the NVIDIA License (see LICENSE). | |
| Use is limited to non-commercial research or evaluation purposes. Commercial use is not permitted, except by NVIDIA | |
| Corporation and its affiliates. The converted weights and the code in this repository are derivative works of that | |
| Work and are distributed under the same license; no additional terms ("Your Terms") are applied. | |
| Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT, Copyright (c) Alibaba Cloud. All Rights Reserved. | |
| (The language model of LocateAnything-3B is Qwen2.5-3B-Instruct; see LICENSE-Qwen.) | |
| Vision encoder: MoonViT-SO-400M by Moonshot AI, released under the MIT License as declared on its model card | |
| (https://huggingface.co/moonshotai/MoonViT-SO-400M). The upstream repository does not include a LICENSE file or a | |
| named copyright holder. | |
| Built with Qwen. | |
| Modifications: the model weights were extracted, converted and quantized (language model: RKLLM w8a8; vision encoder | |
| plus projector: RKNN fp16, fixed 448x448 input) for the Rockchip RK3588 NPU. The Python files under rk3588/ and tools/ | |
| were written or modified for this conversion; portions are ported from NVIDIA's generate_utils.py, | |
| modeling_locateanything.py and modeling_vit.py. | |
| COCO val2017 annotations (CC BY 4.0, https://cocodataset.org) were used to build eval/eval_set.json. | |