This is the Linux app named Weak-to-Strong whose latest release can be downloaded as weak-to-strongsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Weak-to-Strong with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
Weak-to-Strong
DESCRIPTION
Weak-to-Strong is an OpenAI research codebase that implements the concept of weak-to-strong generalization, as described in the accompanying paper. The project provides tools for training larger “strong” models using labels or guidance generated by smaller “weak” models. Its core functionality focuses on binary classification tasks, with support for fine-tuning pretrained language models and experimenting with different loss functions, including confidence-based auxiliary losses. The repository also includes a dedicated vision module for applying weak-to-strong training setups in computer vision, demonstrated with models such as AlexNet and DINO on ImageNet. Although the code is not fully production-tested, it reproduces qualitatively similar results to the experiments presented in the paper, especially when comparing large model size gaps.
Features
- Implements weak-to-strong training setups for language models
- Supports binary classification tasks with pretrained models
- Provides auxiliary loss functions such as confidence loss
- Includes a vision module for applying the method to image models
- Scripts for sweeping across different model size comparisons
- Tools for fine-tuning and training models with weak model labels
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/weak-to-strong.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
