Saving path for the yolo11n.pt model for AMP

[jeaho322]

Hi, I'm trying traning yolov8 model. because of my offline env, I can't use AMP (downloading yolo11n.pt). So I want to save it manually. what is the path of yolo11n.pt for using AMP?

[UltralyticsAssistant]

👋 Hello @jeaho322, thank you for your interest in Ultralytics 🚀! We recommend checking out the Docs as a starting point, where you'll find detailed guides and examples for working with YOLO models, including Python and CLI usage.

If this is a 🐛 Bug Report, please include a minimum reproducible example to help us debug your issue.

If this is a custom training ❓ Question, please provide additional details, such as your training configuration, dataset details, and any relevant logs. Make sure to follow our Tips for Best Training Results to optimize your setup.

For your offline environment, you can download the yolo11n.pt model manually from the official Ultralytics Model Zoo and place it in your working directory or specify its path when initializing your model.

Join the Ultralytics community to connect with others and find more support! For real-time chat, visit Discord 🎧. For detailed questions and discussions, explore Discourse. Or join the conversation on our Subreddit.

Upgrade

It's always a good idea to ensure you're using the latest version of the ultralytics package with all requirements in a Python>=3.8 environment and PyTorch>=1.8. Update your setup using the following:

pip install -U ultralytics

Environments

YOLO can be run in verified environments with pre-installed dependencies like Python, PyTorch, CUDA, and CUDNN:

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all Ultralytics CI tests are passing. CI tests verify correct operation of all YOLO Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

This is an automated response to help guide you, but rest assured, an Ultralytics engineer will assist you soon! 😊

[glenn-jocher]

@jeaho322 for offline AMP usage with YOLO11, manually download yolo11n.pt and place it in your Ultralytics model cache directory at ~/.cache/ultralytics/hub/. The training process will automatically detect this local copy.

[jeaho322]

thank you! but it's still not working. Is there another way what I can do?
This directory didn't exist initially, so I created it and then did as you mentioned.

(base) XXXX@notebook-13490-0:~/.cache/ultralytics/hub$ ls
yolo11n.pt

AMP: checks skipped ⚠️. Offline and unable to download YOLO11n for AMP checks. Setting 'amp=True'. If you experience zero-mAP or NaN losses you can disable AMP with amp=False.

[glenn-jocher]

@jeaho322 for offline AMP validation, you can explicitly load the local model file by passing the full path to YOLO() like YOLO('/path/to/yolo11n.pt') in your training script. This bypasses automatic checks while maintaining AMP functionality. If issues persist, you can safely disable AMP with amp=False in your training arguments as suggested in the AMP checks documentation.

[Brunettow]

Hi, I just came across this post and noticed that the link doesn't seem to be working. Would you mind taking a look? Thank you in advance! 🙏

[Y-T-G]

You can place it in the working directory.