Skywork-R1V-38B
| Property | Value |
|---|---|
| Model Size | 38B parameters |
| Vision Encoder | InternViT-6B-448px-V2_5 |
| Language Model | DeepSeek-R1-Distill-Qwen-32B |
| License | Open Source |
| Hugging Face | Model Repository |
What is Skywork-R1V-38B?
Skywork-R1V-38B is a state-of-the-art multimodal AI model that combines advanced vision processing with powerful language understanding capabilities. It represents a significant advancement in visual-language modeling, particularly excelling in mathematical reasoning and scientific analysis tasks.
Implementation Details
The model architecture integrates InternViT-6B-448px-V2_5 for vision processing with DeepSeek-R1-Distill-Qwen-32B for language understanding. This combination enables sophisticated cross-modal reasoning and analysis capabilities.
- Vision Encoder: Utilizes InternViT architecture optimized for 448px images
- Language Model: Based on DeepSeek's R1 architecture with Qwen optimization
- Implementation support through Transformers library
Core Capabilities
- Visual Chain-of-Thought reasoning with multi-step logical analysis
- Outstanding performance in mathematical problem-solving (94.0% on MATH-500)
- Strong results in visual mathematics (67.5% on MathVista mini)
- Advanced scientific and medical image interpretation
- Seamless integration of text and visual inputs
Frequently Asked Questions
Q: What makes this model unique?
The model stands out for its exceptional performance in mathematical reasoning and visual problem-solving, achieving state-of-the-art results on several benchmarks including AIME 2024 (72.0%) and MMMU(Val) (69.0%), while maintaining a relatively compact 38B parameter size compared to larger alternatives.
Q: What are the recommended use cases?
The model is particularly well-suited for applications involving mathematical problem-solving, scientific image analysis, educational technology, and any scenarios requiring sophisticated visual-language reasoning. It excels in breaking down complex visual problems into step-by-step solutions.
