| | 68 | = Models |
| | 69 | Currently NXP has the following models available for Ara240: |
| | 70 | - [https://huggingface.co/nxp/Qwen2.5-7B-Instruct-Ara240 nxp/Qwen2.5-7B-Instruct-Ara240] ~8.17GB - large language model |
| | 71 | - [https://huggingface.co/nxp/Qwen2.5-Coder-1.5B-Ara240 nxp/Qwen2.5-Coder-1.5B-Ara240] ~1.87GB - code-specialized large language model |
| | 72 | - [https://huggingface.co/nxp/Qwen2.5-VL-7B-Instruct-Ara240 nxp/Qwen2.5-VL-7B-Instruct-Ara240] ~12.3GB - multimodal vision-language model |
| | 73 | - [https://huggingface.co/nxp/YOLOv8 nxp/YOLOv8] ~712MB object detection, segmentation, pose |