This is the Linux app named verl whose latest release can be downloaded as v0.6.1sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named verl 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
verl
DESCRIPTION
VERL is a reinforcement-learning–oriented toolkit designed to train and align modern AI systems, from language models to decision-making agents. It brings together supervised fine-tuning, preference modeling, and online RL into one coherent training stack so teams can move from raw data to aligned policies with minimal glue code. The library focuses on scalability and efficiency, offering distributed training loops, mixed precision, and replay/buffering utilities that keep accelerators busy. It ships with reference implementations of popular alignment algorithms and clear examples that make it straightforward to reproduce baselines before customizing. Data pipelines treat human feedback, simulated environments, and synthetic preferences as interchangeable sources, which helps with rapid experimentation. VERL is meant for both research and production hardening: logging, checkpointing, and evaluation suites are built in so you can track learning dynamics and regressions over time.
Features
- Unified pipeline for SFT, preference modeling, and online RL
- Distributed training with mixed precision and efficient replay buffers
- Reference implementations of popular alignment/RL algorithms
- Pluggable data sources for human, simulated, and synthetic feedback
- Comprehensive logging, checkpoints, and eval dashboards
- Extensible components for custom rewards, policies, and environments
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/verl.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
