SkyworkAI/Skywork-R1V

Skywork-R1V is an advanced multimodal AI model series developed by Skywork AI, specializing in vision-language reasoning.

What it solves

Skywork-R1V provides a high-performance open-source multimodal reasoning model designed to bridge the gap between visual perception and complex logical inference. It specifically addresses the need for AI that can perform advanced reasoning across diverse disciplines, including mathematics, physics, and general logic, using visual inputs.

How it works

The project utilizes reinforcement learning (RL) algorithms during post-training to enhance the model's multimodal reasoning capabilities. It implements a visual chain-of-thought (CoT) approach, allowing the model to break down complex visual problems into logical steps. The latest version, Skywork-R1V3-38B, is built upon the InternVL3-38B base model.

Who it’s for

This model is intended for researchers and developers working on multimodal AI, specifically those needing state-of-the-art performance in visual reasoning, mathematical problem solving from images, and complex logical analysis.

Highlights

  • SOTA Performance: Achieves state-of-the-art results on multiple benchmarks including MMMU (76.0), MathVista, and PhyX.
  • Visual Chain-of-Thought: Specifically engineered for advanced visual logical inference.
  • Flexible Deployment: Supports inference via both the Transformers library and vLLM.
  • Quantization Support: Offers AWQ quantized versions to enable inference on single GPUs with more than 30GB of VRAM.