Repository
Models / Research
VLA RFT · OpenHelix-Team
VLA-RFT provides reinforcement fine-tuning resources for vision-language-action models.
Overview
VLA-RFT provides reinforcement fine-tuning resources for vision-language-action models.
Publisher summary: “VLA-RFT: Vision-Language-Action Models with Reinforcement Fine-Tuning”
Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.
Project information
- Maintainer
- OpenHelix-Team
- Primary language
- Python
- Repository code license
- MIT
- Model-weight license
- Not recorded
- Dataset license
- Not recorded
- Hardware design license
- Not recorded
- Maintenance
- Not archived in the last recorded metadata
- Last observed repository push
- 2025-10-06
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- VLA-RFT: Vision-Language-Action Models with Reinforcement Fine-Tuning
- 🚀 Quick Start
- Prerequisites
- Clone the repository
- Clone the repository
- Installation(If your network is unrestricted)
Browse this resource’s categories
Explore related collections
Vision-language-action models ↗More in Models
Repository
