About Qwen2.5 VL 32B Instruct
Qwen2.5-VL-32B is a multimodal vision-language model fine-tuned through reinforcement learning for enhanced mathematical reasoning, structured outputs, and visual problem-solving capabilities. It excels at visual analysis tasks, including object recognition, textual interpretation within images, and precise event localization in extended videos. Qwen2.5-VL-32B demonstrates state-of-the-art performance across multimodal benchmarks such as MMMU, MathVista, and VideoMME, while maintaining strong reasoning and clarity in text-based tasks like MMLU, mathematical problem-solving, and code generation.
Specifications
- Provider
- Qwen
- Context Length
- 16,384 tokens
- Input Types
- text, image
- Output Types
- text
- Category
- Qwen
- Added
- 3/24/2025
Frequently Asked Questions
Common questions about Qwen2.5 VL 32B Instruct