Skywork-R1V

Skywork-R1V

WebsiteFreeLarge Language Models (LLMs)Multi-purpose Tools
Skywork R1V is the first industry open-sourced multimodal reasoning model with advanced visual chain-of-thought capabilities that enables complex visual-language understanding and logical inference.
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https://github.com/SkyworkAI/Skywork-R1V?ref=aipure
Skywork-R1V

Product Information

Updated:Mar 24, 2025

What is Skywork-R1V

Launched in March 2025, Skywork R1V is a breakthrough 38B parameter multimodal AI model developed by the Skywork team that combines visual and language understanding with sophisticated reasoning abilities. The model is pre-trained on 3.2TB of high-quality multilingual data (primarily Chinese and English) and code data. As an open-source model, it provides full access to model weights, training data, evaluation methods, and inference code to enable broad adoption and advancement of multimodal AI technology.

Key Features of Skywork-R1V

Skywork-R1V is a pioneering open-source multimodal reasoning model that combines advanced visual chain-of-thought capabilities with powerful mathematical and scientific analysis abilities. As a 38B parameter model, it demonstrates strong performance in visual reasoning, mathematical problem-solving, and cross-modal understanding, approaching or matching the capabilities of much larger models.
Visual Chain-of-Thought Reasoning: Enables multi-step logical reasoning on visual inputs by breaking down complex image-based problems into manageable sequential steps
Mathematical & Scientific Analysis: Specialized capabilities for solving visual math problems and interpreting scientific/medical imagery with high precision and accuracy
Cross-Modal Integration: Seamlessly combines text and image understanding for comprehensive context-aware analysis and interpretation
Competitive Performance: Achieves strong results on benchmarks like MATH-500 (94%), MMMU (69%), and MathVista (67.5%), competing with much larger models

Use Cases of Skywork-R1V

Educational Assessment: Analyzing and solving visual mathematics problems, providing step-by-step explanations for students
Scientific Research: Interpreting scientific diagrams, charts, and medical imagery with detailed analytical insights
Visual Problem Solving: Breaking down complex visual scenarios into logical steps for better understanding and solution development
Technical Documentation: Analyzing technical diagrams and providing detailed explanations of processes and systems

Pros

Open-source and commercially usable under MIT license
Strong performance despite smaller model size (38B) compared to competitors
Advanced visual reasoning capabilities with chain-of-thought approach

Cons

Requires significant computational resources for deployment
Lower performance on some metrics compared to larger closed-source models

How to Use Skywork-R1V

Clone Repository: Run command: git clone https://github.com/SkyworkAI/Skywork-R1V.git && cd skywork-r1v/inference
Create Conda Environment: Run command: conda create -n r1-v python=3.10 && conda activate r1-v
Install Dependencies: Run command: bash setup.sh
Run Inference: Run command: CUDA_VISIBLE_DEVICES="0,1" python inference_with_transformers.py --model_path path --image_paths image1_path --question "your question"
Model Requirements: Ensure you have sufficient GPU resources as this is a 38B parameter model that requires multiple GPUs for inference
Access Model Weights: The model weights can be accessed from Hugging Face at: https://huggingface.co/Skywork/Skywork-R1V-38B

Skywork-R1V FAQs

Skywork-R1V is the first industry open-sourced multimodal reasoning model with advanced visual chain-of-thought capabilities. It's a 38B parameter model that can perform visual reasoning, mathematical analysis, and cross-modal understanding tasks.

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